# data[].attributes.headline
	
	
	
	
	Modification of Gluten Hydrolysate & Ipomoea Macroelements  Properties
	

# data[].attributes.subject
	
	
	
	
	Modification of Gluten Hydrolysate & Ipomoea Macroelements  Properties
	

# data[].attributes.body
Biofield effect on the impact of biofield treatment on physical and thermal properties of gluten hydrolysate and ipomoea macroelements.

# data[].attributes.attachment_link.title
Spectroscopic Characterization of Disulfiram and Nicotinic Acid after Biofield Treatment | Mahendra Trivedi | Alice Branton | Dahryn Trivedi | Gopal Nayak | Snehasis Jana | Academic Room

# data[].attributes.attachment_link.description
Disulfiram is being used clinically as an aid in chronic alcoholism, while nicotinic acid is one of a B-complex vitamin that has cholesterol lowering activity. The aim of present study was to investigate the impact of biofield treatment on spectral properties of disulfiram and nicotinic acid.

# data[].attributes.headline
	
	
	
	
	An Effect of Biofield Treatment on Hydrolysate & Ipomoea Macroelements
	

# data[].attributes.subject
	
	
	
	
	An Effect of Biofield Treatment on Hydrolysate & Ipomoea Macroelements
	

# data[].attributes.body
To know more about the effect of Biofield Treatment on physical and thermal properties of gluten hydrolysate and ipomoea macroelements, then Read this research done by Mahendra Kumar Trivedi.

# data[].attributes.headline
	
	
	
	
	Biofield | Impact on Gluten Hydrolysate and Ipomoea Macroelements
	

# data[].attributes.subject
	
	
	
	
	Biofield | Impact on Gluten Hydrolysate and Ipomoea Macroelements
	

# data[].attributes.body
Read the clinical study on the impact of biofield treatment on physical and thermal properties of gluten hydrolysate and ipomoea macroelements.

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Analytical & Bioanalytical

Trivedi et al.,J Anal Bioanal Tech 2015, 6:5

http://dx.doi.org/10.4172/2155-9872.1000265

Volume 6 * Issue 5 * 1000265

ISSN: 2155-9872 JABT, an open access journal

Keywords: Disulram; Nicotinic acid; Bioeld treatment; Fourier

transform infrared spectroscopy; Ultraviolet spectroscopy

Disulram [bis(diethylthiocarbamoyl)disulphide] is an antabuse

drug, being used clinically as an aid to the treatment of chronic

alcoholism. It is the rst drug approved by US Food and Drug

Administration to treat the alcohol addiction [1]. Alcohol (ethanol)

transforms into acetaldehyde by alcohol dehydrogenase enzyme, which

further oxidized to acetic acid by acetaldehyde dehydrogenase (ADH)

enzyme [2]. Disulram inhibits the ADH enzyme. As a result, the blood

concentration of acetaldehyde increases and causes an unpleasant

eect, thus increase the patient's motivation to remain abstinent [3]. In

addition to this, disulram is reported for protozoacidal eect in vitro

study [4,5]. Recently, disulram has shown the reactivity to latent HIV-

1 expression in a primary cell model of virus latency and presently it is

assessed in a clinical trial for its potential to diminish the latent HIV-1

reservoir in patients combination with antiretroviral therapy [6].

Nicotinic acid or niacin is one of the B-complex vitamins (Vitamin

B3 ) that has cholesterol lowering activity. Recent studies showed that

therapeutic doses of nicotinic acid induce a profound alteration in

plasma concentration of several lipids and lipoproteins, resulting in a

greater ability to increase high-density lipoprotein (HDL) cholesterol

[7]. Nicotinic acid favorably aects apolipoprotein (apo), very-low-

density lipoprotein (VLDL), low-density lipoprotein (LDL) and HDL

e exact mechanism of nicotinic acid activity is unknown.

However, new ndings indicate that nicotinic acid inhibits directly

and non-competitively to the triglycerides synthesis enzyme i.e.,

hepatocyte diacylglycerol acyltransferase-2, which causes acceleration

of intracellular hepatic apo B degradation and thus decrease secretion

of VLDL and LDL [9]. Several evidence suggest that nicotinic acid

administered either alone or in combination with other cholesterol-

lowering medicines can reduce the risk of cardiovascular and

atherosclerosis diseases. e clinical uses of nicotinic acid are

somewhat limited due to some harmless but unpleasant side eects

like cutaneous ushing phenomenon, nausea, vomiting and headache

[10]. e chemical and physical stability of pharmaceutical drugs or

products are most desired attributes of quality that potentially aect the

ecacy, safety and shelf life of drugs [11]. Hence, it is essential to nd

out an alternate approach, which could enhance the stability of drugs

by altering the structural and bonding properties of these compounds.

Contemporarily, bioeld treatment is reported to alter the spectral

properties of various pharmaceutical drugs like paracetamol, piroxicam,

metronidazole, and tinidazole; likewise physical, and structural

properties of various metals i.e., tin, lead etc. [12-14]. e conversion of

mass into energy is well known in literature for hundreds of years that

was further explained by Hasenohrl and Einstein [15,16]. According to

Maxwell JC, every dynamic process in the human body had an electrical

signicance, which generates magnetic eld in the human body [17].

*Corresponding author: Snehasis Jana, Trivedi Science Research Laboratory Pvt.

Ltd., Hall-A, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Rd, Bhopal-462026,

Citation: Trivedi MK, Branton A, Trivedi D , Nayak G, Bairwa K, et al. (2015)

Treatment. J Anal Bioanal Tech 6: 265 doi:10.4172/2155-9872.1000265

Copyright: © 2015 Trivedi MK, et al. This is an open-access article distributed

under the terms of the Creative Commons Attribution License, which permits

unrestricted use, distribution, and reproduction in any medium, provided the

original author and source are credited.

Disulram is being used clinically as an aid in chronic alcoholism, while nicotinic acid is one of a B-complex

vitamin that has cholesterol lowering activity. The aim of present study was to investigate the impact of bioeld

treatment on spectral properties of disulram and nicotinic acid. The study was performed in two groups i.e., control

and treatment of each drug. The treatment groups were received Mr. Trivedi's bioeld treatment. Subsequently,

spectral properties of control and treated groups of both drugs were studied using Fourier transform infrared (FT-IR)

and Ultraviolet-Visible (UV-Vis) spectroscopic techniques. FT-IR spectrum of bioeld treated disulram showed the

shifting in wavenumber of C-H stretching from 1496 to 1506 cm-1 and C-N stretching from 1062 to 1056 cm-1. The

intensity of S-S dihedral bending peaks (665 and 553 cm-1 ) was also increased in bioeld treated disulram sample,

as compared to control. FT-IR spectra of bioeld treated nicotinic acid showed the shifting in wavenumber of C-H

stretching from 3071 to 3081 cm-1 and 2808 to 2818 cm-1. Likewise, C=C stretching peak was shifted to higher

frequency region from 1696 cm-1 to 1703 cm-1 and C-O (COO- ) stretching peak was shifted to lower frequency region

from 1186 to 1180 cm-1 in treated nicotinic acid.

UV spectrum of control and bioeld treated disulram showed similar pattern of UV spectra. Whereas, the UV

spectrum of bioeld treated nicotinic acid exhibited the shifting of absorption maxima (λmax ) with respect of control

i.e., from 268.4 to 262.0 nm, 262.5 to 256.4, 257.5 to 245.6, and 212.0 to 222.4 nm.

Over all, the FT-IR and UV spectroscopy results suggest an impact of bioeld treatment on the force constant,

bond strength, and dipole moments of treated drugs such as disulram and nicotinic acid that could led to change in

their chemical stability as compared to control.

Spectroscopic Characterization of Disulfiram and Nicotinic Acid after Biofield

Mahendra Kumar Trivedi1 , Alice Branton1 , Dahryn Trivedi1, Gopal Nayak1, Khemraj Bairwa2 and Snehasis Jana2 *

1Trivedi Global Inc., 10624 S Eastern Avenue Suite A-969, Henderson, NV 89052, USA

2Trivedi Science Research Laboratory Pvt. Ltd., Hall-A, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Rd., Bhopal- 462026, Madhya Pradesh, India

Citation: Trivedi MK, Branton A, Trivedi D, Nayak G, Bairwa K, et al. (2015) Spectroscopic Characterization of Disulram and Nicotinic Acid after

Bioeld Treatment. J Anal Bioanal Tech 6: 265 doi:10.4172/2155-9872.1000265

Volume 6 * Issue 5 * 1000265

ISSN: 2155-9872 JABT, an open access journal

is electromagnetic eld of the human body is known as bioeld and

energy associated with this eld is known as bioeld energy [18,19].

Mr. Trivedi has the ability to harness the energy from environment or

universe and can transmit into any living or nonliving object around

this Globe. e object(s) always receive the energy and responding into

useful way, this process is known as bioeld treatment.

Mr. Mahendra Kumar Trivedi's bioeld treatment (e Trivedi

Eect®) has considerably changed the physicochemical, thermal and

structural properties of metals and ceramics [14,20,21]. Growth and

anatomical characteristics of some plants were also increased aer

bioeld treatment [22,23]. Further, bioeld treatment has showed

the signicant eect in the eld of agriculture science [24,25] and

Considering the impact of bioeld treatment on physical and

structural property of metals and ceramics, the present study was

aimed to evaluate the impact of bioeld treatment on spectral

properties of disulram and nicotinic acid. e eects were analyzed

using Fourier transform infrared (FT-IR) and Ultraviolet-Visible (UV-

Vis) spectroscopic techniques.

e disulram and nicotinic acid (Figure 1) samples were procured

from Sigma-Aldrich, MA, USA; and each drug was divided into two

parts i.e., control and treatment. e control samples were remained

as untreated, and treatment samples were handed over in sealed pack

to Mr. Trivedi for bioeld treatment under laboratory condition.

Mr. Trivedi provided this treatment through his energy transmission

process to the treated groups without touching the sample [12,13].

e control and treated samples of disulram and nicotinic acid were

evaluated using FT-IR and UV-Vis spectroscopy.

FT-IR spectroscopic characterization

FT-IR spectra were recorded on Shimadzu's Fourier transform

infrared spectrometer (Japan) with frequency range of 4000-500 cm-1 .

e FT-IR spectroscopic analysis of both control and treated samples

of disulram and nicotinic acid were carried out to evaluate the impact

of bioeld treatment at atomic level like force constant and bond

UV-Vis spectroscopic analysis

UV spectra of disulram and nicotinic acid were recorded on

Shimadzu UV-2400 PC series spectrophotometer with 1 cm quartz

cell and a slit width of 2.0 nm. e analysis was carried out using

wavelength in the range of 200-400 nm. e analysis was performed

to determine the eect of bioeld treatment on structural properties of

FT-IR spectroscopic analysis

Vibrational spectral assignment was performed on the recorded

FT-IR spectra (Figure 2) based on theoretically predicted wavenumber

and presented in Table 1. e FT-IR spectrum of control disulram

sample (Figure 2a) showed the characteristic vibrational peak at 2975

peak observed at 1496 cm-1 was attributed to C-H symmetrical

deformation vibrations. e absorption peaks appeared at 1351-1457

cm-1 was assigned to CH2 -CH3 deformations. e vibrational peaks

at 1273 cm-1 and 1151-1195 cm-1 were assigned to C=S stretching and

C-C skeletal vibration, respectively. Further, IR peaks observed at 967-

1062 cm-1 and 818-914 cm-1 were attributed to C-N stretching and C-S

stretching, respectively. e vibrational peaks appeared at 554-666

cm-1 was assigned to S-S dihedral bending. e FT-IR data of control

disulram was well supported by the literature data [29].

e FT-IR spectrum of bioeld treated disulram (Figure 2b)

showed the vibrational peak at 2975 cm-1 ,which was assigned toCH3

stretching. Vibrational peak appeared at 1506 cm-1 was assigned to

C-H symmetrical deformation vibrations. Likely, the IR peaks at 1350-

1457 cm-1 were attributed to CH2 -CH3 deformations. e vibrational

peaks appeared at 1273 cm-1 and 1151-1195 cm-1 were assigned to

C=S stretching and C-C skeletal vibration, respectively. e IR peaks

observed at 967-1056 cm-1 and 817-914 cm-1 were attributed to C-N

stretching and C-S stretching, respectively. e vibrational peaks at

553-665 cm-1 were assigned to S-S dihedral bending.

Altogether, the FT-IR data of bioeld treated disulram (Figure 2b)

showed the shiing in frequency of some bonds with respect to control

spectra like C-H symmetrical deformation vibrations frequency was

shied from 1496 (control) to 1506 (treated) cm-1. e frequency (ν)

of vibrational peak depends on two factors i.e., force constant (k) and

Figure 1: Chemical structure of (a) Disulram and (b) Nicotinic acid.

Figure 2: FT-IR spectra of Disulram (a) control and (b) treated.

Citation: Trivedi MK, Branton A, Trivedi D, Nayak G, Bairwa K, et al. (2015) Spectroscopic Characterization of Disulram and Nicotinic Acid after

Bioeld Treatment. J Anal Bioanal Tech 6: 265 doi:10.4172/2155-9872.1000265

Volume 6 * Issue 5 * 1000265

ISSN: 2155-9872 JABT, an open access journal

reduced mass (μ), which can be explained by following equation [30]

here, c is speed of light.

If reduced mass is constant, then the frequency is directly

proportional to the force constant; therefore, increase in frequency

of any bond suggested a possible enhancement in force constant of

respective bond and vice versa [28]. Based on this it is hypothesized

that due to increase in frequency of C-H symmetrical deformation

(1496 to 1506 cm-1), the C-H bond strength in treated disulram

might also be increased with respect of control. Contrarily, the C-N

stretching vibration in treated disulram was sied to lower frequency

region as compared to control i.e., from 1062 to 1056 cm-1. is could

be referred to decrease in C-N bond strength aer bioeld treatment in

compression to control. In addition, the intensity of IR peak appeared

at 553-665 cm-1 (S-S dihedral bending) in bioeld treated sample

was found to be increased, with respect of control peaks in the same

frequency region. e intensity of vibrational peaks of particular bond

depends on the ratio of change in dipole moment (∂µ) to change in bond

distance (∂r) i.e., the intensity is proportionally change with changes in

dipole moment and inversely change with alteration in bond distance

[31]. Based on this, it is speculated that ratio of ∂µ/∂r might be altered

in S-S bonds (appeared in the frequency region of 553-665 cm-1) with

the inuence of bioeld treatment as compared to control.

e vibrational spectral assignment of nicotinic acid was performed

on the recorded FT-IR spectra (Figure 3) based on theoretically

predicted wavenumber and presented in Table 2. e vibrational peaks

appeared at 3071-2808 cm-1 was assigned to C-H stretchings. e IR

peaks observed at 1696-1710 cm-1 and 1596 cm-1 were assigned to C=O

(COO- ) asymmetrical stretching and C=C stretching, respectively.

Absorption peaks appeared at 1417, 1323, and 1301 cm-1 were

attributed to C=N symmetric stretching, C=O symmetrical stretching,

and C-N stretching, respectively. e C-O (COO-) stretching peak

was assigned to IR bend observed at 1186 cm-1. Further, C-H in plane

and out plane bending vibrations was assigned to peaks observed in

the range of 1033-1114 cm-1 and 642-812 cm-1, respectively. e FT-IR

data of control nicotinic acid was well supported by the literature data

e FT-IR spectrum of bioeld treated nicotinic acid (Figure 3)

showed the absorption bands at 2818-3081 cm-1 that were assigned

to C-H stretching. Vibrational peaks appeared at 1703-1714 cm-1

and 1594 cm-1 were assigned to C=O (COO-) asymmetric stretching

and C=C stretching, respectively. Likewise, the IR peaks observed

at 1417, 1324, and 1301 cm-1 were assigned to C=N stretching, C=O

(COO- ) symmetric stretching, and C-N stretching, respectively. e IR

stretching. Further, the C-H in plane and out plane bending vibrations

Overall, the FT-IR data of biofield treated nicotinic acid (Figure

3) showed the shifting in wavenumber of some bonds with respect

to control sample. For instance, the C-H stretching towards higher

frequency region i.e., from 3071 to 3081 cm-1 and 2808 to 2818 cm-

1. This could be due to increase in force constant of C-H bond.

Likewise, a slight upstream shifting in C=O stretching peak from

1710 to 1714 cm-1 and 1696 to 1703 cm-1 in treated nicotinic acid

also suggests an increase in force constant of C=O bond in treated

sample as compared to control. Contrarily, a slight downstream

shifting in wavenumber of treated nicotinic acid from 1186 to 1180

cm-1 C-O (COO- stretching); and from 1033 to 1037 cm-1 (=C-H

in plane bending) suggests the decrease in force constant of C-O

bond and decrease in rigidity of =C-H bond in treated sample as

14961506C-H symmetrical deformation vibrations

1151-11951151-1195C-C skeletal vibrations

967-1062967-1056C-N stretching

818-914817-914C-S stretching

554-666553-665S-S stretching

Table 1: FT-IR vibrational peaks observed in Disulram.

Figure 3: FT-IR spectra of Nicotinic acid (a) control and (b) treated.

2808-30712818-3081C-H stretching

1696-17101703-1714C=O (COO-) asymmetric stretching

11861180C-OH (Ph-OH) stretching

1033-11141037-1116=C-H in-plane bending

642-812642-812=C-H out of plane bending

Table 2: FT-IR vibrational peaks observed in Nicotinic acid.

# data[].attributes.attachment_link.title
Spectroscopic Characterization of Disulfiram and Nicotinic Acid after Biofield Treatment - PdfSR.com

# data[].attributes.attachment_link.description
Disulfiram is being used clinically as an aid in chronic alcoholism, while nicotinic acid is one of a B-complex vitamin that has cholesterol lowering activity. The aim of present study was to investigate the impact of biofield treatment on spectral properties of disulfiram and nicotinic acid.

# data[].attributes.headline
	
	
	
	
	Gluten Hydrolysate & Ipomoea Macroelements Properties – Read more
	

# data[].attributes.subject
	
	
	
	
	Gluten Hydrolysate & Ipomoea Macroelements Properties – Read more
	

# data[].attributes.body
Read more about the effect of biofield treatment on the Physical and Thermal Properties of Gluten Hydrolysate and Ipomoea Macroelements.

# data[].attributes.attachment_link.title
"Effect of Biofield Energy Treatment on Streptococcus group B: A Postpartum Pathogen" by Mahendra Kumar Trivedi

# data[].attributes.attachment_link.description
Streptococcus agalactiae group B (S. agalactiae gr. B) is widespread in nature mainly causes bacterial septicemia and neonatal meningitis. The current study was attempted to investigate the effect of biofield treatment on S. agalactiae gr. B with respect of antimicrobial sensitivity, biochemical reactions and bio typing. S. agalactiae gr.

# data[].attributes.headline
	
	
	
	
	 Read Research on Gluten Hydrolysate & Ipomoea Macroelements
	

# data[].attributes.subject
	
	
	
	
	 Read Research on Gluten Hydrolysate & Ipomoea Macroelements
	

# data[].attributes.body
A Potential Strategy by Mahendra Kumar Trivedi for Modification of Physical and Thermal Properties of Gluten Hydrolysate and Ipomoea Macroelements.

# data[].attributes.headline
	
	
	
	
	Biofield Treatment Effect on Gluten Hydrolysate & Ipomoea Macroelements
	

# data[].attributes.subject
	
	
	
	
	Biofield Treatment Effect on Gluten Hydrolysate & Ipomoea Macroelements
	

# data[].attributes.body
Research done by Mahendra Kumar Trivedi - The objective of present study was to study the effect of biofield treatment on physical and thermal properties of gluten hydrolysate & ipomoea macroelements.

# data[].attributes.attachment_link.title
Bio-field Treatment: A Potential Strategy for Modification of Physical and Thermal Properties of Gluten Hydrolysate and Ipomoea Macroelements

# data[].attributes.attachment_link.description
The objective of present study was to study the effect of biofield treatment on physical and thermal properties of gluten hydrolysate (GH) and ipomoea macroelements (IM). The study was performed in two groups (control and treated). The control group

# data[].attributes.headline
	
	
	
	
	 Modification Properties of Gluten Hydrolysate & Ipomoea Macroelements
	

# data[].attributes.subject
	
	
	
	
	 Modification Properties of Gluten Hydrolysate & Ipomoea Macroelements
	

# data[].attributes.body
Main objective of present study was to study the effect of biofield treatment on physical and thermal properties of gluten hydrolysate and ipomoea macroelements.

# data[].attributes.headline
	
	
	
	
	Gluten Hydrolysate & Ipomoea Macroelements | Publication
	

# data[].attributes.subject
	
	
	
	
	Gluten Hydrolysate & Ipomoea Macroelements | Publication
	

# data[].attributes.body
The objective of present study was to study the effect of biofield treatment on physical and thermal properties of gluten hydrolysate (GH) and ipomoea macroelements (IM).

# data[].attributes.headline
	
	
	
	
	Biofield | Impact on Spectral Properties of Disulfiram & Nicotinic Acid
	

# data[].attributes.subject
	
	
	
	
	Biofield | Impact on Spectral Properties of Disulfiram & Nicotinic Acid
	

# data[].attributes.body
Biofield treatment on disulfiram and nicotinic acid to show the change in their chemical stability, force constant, bond strength & dipole moments. Read the clinical study on the impact of Biofield treatment on spectral properties of disulfiram and nicotinic acid.

# data[].attributes.attachment_link.title
Spectroscopic Characterization of Disulfiram and Nicotinic Acid after Biofield Treatment | Mahendra Trivedi | Alice Branton | Dahryn Trivedi | Gopal Nayak | Snehasis Jana | Academic Room

# data[].attributes.attachment_link.description
Disulfiram is being used clinically as an aid in chronic alcoholism, while nicotinic acid is one of a B-complex vitamin that has cholesterol lowering activity. The aim of present study was to investigate the impact of biofield treatment on spectral properties of disulfiram and nicotinic acid.

# data[].attributes.headline
	
	
	
	
	Disulfiram & Nicotinic Acid Spectral Properties after Biofield Treatment
	

# data[].attributes.subject
	
	
	
	
	Disulfiram & Nicotinic Acid Spectral Properties after Biofield Treatment
	

# data[].attributes.body
Disulfiram is being used clinically as an aid in chronic alcoholism, while nicotinic acid is one of a B-complex vitamin that has cholesterol lowering activity. Read this study of Mr. Trivedi to know its impact on spectral properties of Disulfiram & Nicotinic Acid.

# data[].attributes.attachment_link.readable_text
Please enable JavaScript to view the comments powered by Disqus.

Analytical & Bioanalytical

Trivedi et al.,J Anal Bioanal Tech 2015, 6:5

http://dx.doi.org/10.4172/2155-9872.1000265

Volume 6 * Issue 5 * 1000265

ISSN: 2155-9872 JABT, an open access journal

Keywords: Disulram; Nicotinic acid; Bioeld treatment; Fourier

transform infrared spectroscopy; Ultraviolet spectroscopy

Disulram [bis(diethylthiocarbamoyl)disulphide] is an antabuse

drug, being used clinically as an aid to the treatment of chronic

alcoholism. It is the rst drug approved by US Food and Drug

Administration to treat the alcohol addiction [1]. Alcohol (ethanol)

transforms into acetaldehyde by alcohol dehydrogenase enzyme, which

further oxidized to acetic acid by acetaldehyde dehydrogenase (ADH)

enzyme [2]. Disulram inhibits the ADH enzyme. As a result, the blood

concentration of acetaldehyde increases and causes an unpleasant

eect, thus increase the patient's motivation to remain abstinent [3]. In

addition to this, disulram is reported for protozoacidal eect in vitro

study [4,5]. Recently, disulram has shown the reactivity to latent HIV-

1 expression in a primary cell model of virus latency and presently it is

assessed in a clinical trial for its potential to diminish the latent HIV-1

reservoir in patients combination with antiretroviral therapy [6].

Nicotinic acid or niacin is one of the B-complex vitamins (Vitamin

B3 ) that has cholesterol lowering activity. Recent studies showed that

therapeutic doses of nicotinic acid induce a profound alteration in

plasma concentration of several lipids and lipoproteins, resulting in a

greater ability to increase high-density lipoprotein (HDL) cholesterol

[7]. Nicotinic acid favorably aects apolipoprotein (apo), very-low-

density lipoprotein (VLDL), low-density lipoprotein (LDL) and HDL

e exact mechanism of nicotinic acid activity is unknown.

However, new ndings indicate that nicotinic acid inhibits directly

and non-competitively to the triglycerides synthesis enzyme i.e.,

hepatocyte diacylglycerol acyltransferase-2, which causes acceleration

of intracellular hepatic apo B degradation and thus decrease secretion

of VLDL and LDL [9]. Several evidence suggest that nicotinic acid

administered either alone or in combination with other cholesterol-

lowering medicines can reduce the risk of cardiovascular and

atherosclerosis diseases. e clinical uses of nicotinic acid are

somewhat limited due to some harmless but unpleasant side eects

like cutaneous ushing phenomenon, nausea, vomiting and headache

[10]. e chemical and physical stability of pharmaceutical drugs or

products are most desired attributes of quality that potentially aect the

ecacy, safety and shelf life of drugs [11]. Hence, it is essential to nd

out an alternate approach, which could enhance the stability of drugs

by altering the structural and bonding properties of these compounds.

Contemporarily, bioeld treatment is reported to alter the spectral

properties of various pharmaceutical drugs like paracetamol, piroxicam,

metronidazole, and tinidazole; likewise physical, and structural

properties of various metals i.e., tin, lead etc. [12-14]. e conversion of

mass into energy is well known in literature for hundreds of years that

was further explained by Hasenohrl and Einstein [15,16]. According to

Maxwell JC, every dynamic process in the human body had an electrical

signicance, which generates magnetic eld in the human body [17].

*Corresponding author: Snehasis Jana, Trivedi Science Research Laboratory Pvt.

Ltd., Hall-A, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Rd, Bhopal-462026,

Citation: Trivedi MK, Branton A, Trivedi D , Nayak G, Bairwa K, et al. (2015)

Treatment. J Anal Bioanal Tech 6: 265 doi:10.4172/2155-9872.1000265

Copyright: © 2015 Trivedi MK, et al. This is an open-access article distributed

under the terms of the Creative Commons Attribution License, which permits

unrestricted use, distribution, and reproduction in any medium, provided the

original author and source are credited.

Disulram is being used clinically as an aid in chronic alcoholism, while nicotinic acid is one of a B-complex

vitamin that has cholesterol lowering activity. The aim of present study was to investigate the impact of bioeld

treatment on spectral properties of disulram and nicotinic acid. The study was performed in two groups i.e., control

and treatment of each drug. The treatment groups were received Mr. Trivedi's bioeld treatment. Subsequently,

spectral properties of control and treated groups of both drugs were studied using Fourier transform infrared (FT-IR)

and Ultraviolet-Visible (UV-Vis) spectroscopic techniques. FT-IR spectrum of bioeld treated disulram showed the

shifting in wavenumber of C-H stretching from 1496 to 1506 cm-1 and C-N stretching from 1062 to 1056 cm-1. The

intensity of S-S dihedral bending peaks (665 and 553 cm-1 ) was also increased in bioeld treated disulram sample,

as compared to control. FT-IR spectra of bioeld treated nicotinic acid showed the shifting in wavenumber of C-H

stretching from 3071 to 3081 cm-1 and 2808 to 2818 cm-1. Likewise, C=C stretching peak was shifted to higher

frequency region from 1696 cm-1 to 1703 cm-1 and C-O (COO- ) stretching peak was shifted to lower frequency region

from 1186 to 1180 cm-1 in treated nicotinic acid.

UV spectrum of control and bioeld treated disulram showed similar pattern of UV spectra. Whereas, the UV

spectrum of bioeld treated nicotinic acid exhibited the shifting of absorption maxima (λmax ) with respect of control

i.e., from 268.4 to 262.0 nm, 262.5 to 256.4, 257.5 to 245.6, and 212.0 to 222.4 nm.

Over all, the FT-IR and UV spectroscopy results suggest an impact of bioeld treatment on the force constant,

bond strength, and dipole moments of treated drugs such as disulram and nicotinic acid that could led to change in

their chemical stability as compared to control.

Spectroscopic Characterization of Disulfiram and Nicotinic Acid after Biofield

Mahendra Kumar Trivedi1 , Alice Branton1 , Dahryn Trivedi1, Gopal Nayak1, Khemraj Bairwa2 and Snehasis Jana2 *

1Trivedi Global Inc., 10624 S Eastern Avenue Suite A-969, Henderson, NV 89052, USA

2Trivedi Science Research Laboratory Pvt. Ltd., Hall-A, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Rd., Bhopal- 462026, Madhya Pradesh, India

Citation: Trivedi MK, Branton A, Trivedi D, Nayak G, Bairwa K, et al. (2015) Spectroscopic Characterization of Disulram and Nicotinic Acid after

Bioeld Treatment. J Anal Bioanal Tech 6: 265 doi:10.4172/2155-9872.1000265

Volume 6 * Issue 5 * 1000265

ISSN: 2155-9872 JABT, an open access journal

is electromagnetic eld of the human body is known as bioeld and

energy associated with this eld is known as bioeld energy [18,19].

Mr. Trivedi has the ability to harness the energy from environment or

universe and can transmit into any living or nonliving object around

this Globe. e object(s) always receive the energy and responding into

useful way, this process is known as bioeld treatment.

Mr. Mahendra Kumar Trivedi's bioeld treatment (e Trivedi

Eect®) has considerably changed the physicochemical, thermal and

structural properties of metals and ceramics [14,20,21]. Growth and

anatomical characteristics of some plants were also increased aer

bioeld treatment [22,23]. Further, bioeld treatment has showed

the signicant eect in the eld of agriculture science [24,25] and

Considering the impact of bioeld treatment on physical and

structural property of metals and ceramics, the present study was

aimed to evaluate the impact of bioeld treatment on spectral

properties of disulram and nicotinic acid. e eects were analyzed

using Fourier transform infrared (FT-IR) and Ultraviolet-Visible (UV-

Vis) spectroscopic techniques.

e disulram and nicotinic acid (Figure 1) samples were procured

from Sigma-Aldrich, MA, USA; and each drug was divided into two

parts i.e., control and treatment. e control samples were remained

as untreated, and treatment samples were handed over in sealed pack

to Mr. Trivedi for bioeld treatment under laboratory condition.

Mr. Trivedi provided this treatment through his energy transmission

process to the treated groups without touching the sample [12,13].

e control and treated samples of disulram and nicotinic acid were

evaluated using FT-IR and UV-Vis spectroscopy.

FT-IR spectroscopic characterization

FT-IR spectra were recorded on Shimadzu's Fourier transform

infrared spectrometer (Japan) with frequency range of 4000-500 cm-1 .

e FT-IR spectroscopic analysis of both control and treated samples

of disulram and nicotinic acid were carried out to evaluate the impact

of bioeld treatment at atomic level like force constant and bond

UV-Vis spectroscopic analysis

UV spectra of disulram and nicotinic acid were recorded on

Shimadzu UV-2400 PC series spectrophotometer with 1 cm quartz

cell and a slit width of 2.0 nm. e analysis was carried out using

wavelength in the range of 200-400 nm. e analysis was performed

to determine the eect of bioeld treatment on structural properties of

FT-IR spectroscopic analysis

Vibrational spectral assignment was performed on the recorded

FT-IR spectra (Figure 2) based on theoretically predicted wavenumber

and presented in Table 1. e FT-IR spectrum of control disulram

sample (Figure 2a) showed the characteristic vibrational peak at 2975

peak observed at 1496 cm-1 was attributed to C-H symmetrical

deformation vibrations. e absorption peaks appeared at 1351-1457

cm-1 was assigned to CH2 -CH3 deformations. e vibrational peaks

at 1273 cm-1 and 1151-1195 cm-1 were assigned to C=S stretching and

C-C skeletal vibration, respectively. Further, IR peaks observed at 967-

1062 cm-1 and 818-914 cm-1 were attributed to C-N stretching and C-S

stretching, respectively. e vibrational peaks appeared at 554-666

cm-1 was assigned to S-S dihedral bending. e FT-IR data of control

disulram was well supported by the literature data [29].

e FT-IR spectrum of bioeld treated disulram (Figure 2b)

showed the vibrational peak at 2975 cm-1 ,which was assigned toCH3

stretching. Vibrational peak appeared at 1506 cm-1 was assigned to

C-H symmetrical deformation vibrations. Likely, the IR peaks at 1350-

1457 cm-1 were attributed to CH2 -CH3 deformations. e vibrational

peaks appeared at 1273 cm-1 and 1151-1195 cm-1 were assigned to

C=S stretching and C-C skeletal vibration, respectively. e IR peaks

observed at 967-1056 cm-1 and 817-914 cm-1 were attributed to C-N

stretching and C-S stretching, respectively. e vibrational peaks at

553-665 cm-1 were assigned to S-S dihedral bending.

Altogether, the FT-IR data of bioeld treated disulram (Figure 2b)

showed the shiing in frequency of some bonds with respect to control

spectra like C-H symmetrical deformation vibrations frequency was

shied from 1496 (control) to 1506 (treated) cm-1. e frequency (ν)

of vibrational peak depends on two factors i.e., force constant (k) and

Figure 1: Chemical structure of (a) Disulram and (b) Nicotinic acid.

Figure 2: FT-IR spectra of Disulram (a) control and (b) treated.

Citation: Trivedi MK, Branton A, Trivedi D, Nayak G, Bairwa K, et al. (2015) Spectroscopic Characterization of Disulram and Nicotinic Acid after

Bioeld Treatment. J Anal Bioanal Tech 6: 265 doi:10.4172/2155-9872.1000265

Volume 6 * Issue 5 * 1000265

ISSN: 2155-9872 JABT, an open access journal

reduced mass (μ), which can be explained by following equation [30]

here, c is speed of light.

If reduced mass is constant, then the frequency is directly

proportional to the force constant; therefore, increase in frequency

of any bond suggested a possible enhancement in force constant of

respective bond and vice versa [28]. Based on this it is hypothesized

that due to increase in frequency of C-H symmetrical deformation

(1496 to 1506 cm-1), the C-H bond strength in treated disulram

might also be increased with respect of control. Contrarily, the C-N

stretching vibration in treated disulram was sied to lower frequency

region as compared to control i.e., from 1062 to 1056 cm-1. is could

be referred to decrease in C-N bond strength aer bioeld treatment in

compression to control. In addition, the intensity of IR peak appeared

at 553-665 cm-1 (S-S dihedral bending) in bioeld treated sample

was found to be increased, with respect of control peaks in the same

frequency region. e intensity of vibrational peaks of particular bond

depends on the ratio of change in dipole moment (∂µ) to change in bond

distance (∂r) i.e., the intensity is proportionally change with changes in

dipole moment and inversely change with alteration in bond distance

[31]. Based on this, it is speculated that ratio of ∂µ/∂r might be altered

in S-S bonds (appeared in the frequency region of 553-665 cm-1) with

the inuence of bioeld treatment as compared to control.

e vibrational spectral assignment of nicotinic acid was performed

on the recorded FT-IR spectra (Figure 3) based on theoretically

predicted wavenumber and presented in Table 2. e vibrational peaks

appeared at 3071-2808 cm-1 was assigned to C-H stretchings. e IR

peaks observed at 1696-1710 cm-1 and 1596 cm-1 were assigned to C=O

(COO- ) asymmetrical stretching and C=C stretching, respectively.

Absorption peaks appeared at 1417, 1323, and 1301 cm-1 were

attributed to C=N symmetric stretching, C=O symmetrical stretching,

and C-N stretching, respectively. e C-O (COO-) stretching peak

was assigned to IR bend observed at 1186 cm-1. Further, C-H in plane

and out plane bending vibrations was assigned to peaks observed in

the range of 1033-1114 cm-1 and 642-812 cm-1, respectively. e FT-IR

data of control nicotinic acid was well supported by the literature data

e FT-IR spectrum of bioeld treated nicotinic acid (Figure 3)

showed the absorption bands at 2818-3081 cm-1 that were assigned

to C-H stretching. Vibrational peaks appeared at 1703-1714 cm-1

and 1594 cm-1 were assigned to C=O (COO-) asymmetric stretching

and C=C stretching, respectively. Likewise, the IR peaks observed

at 1417, 1324, and 1301 cm-1 were assigned to C=N stretching, C=O

(COO- ) symmetric stretching, and C-N stretching, respectively. e IR

stretching. Further, the C-H in plane and out plane bending vibrations

Overall, the FT-IR data of biofield treated nicotinic acid (Figure

3) showed the shifting in wavenumber of some bonds with respect

to control sample. For instance, the C-H stretching towards higher

frequency region i.e., from 3071 to 3081 cm-1 and 2808 to 2818 cm-

1. This could be due to increase in force constant of C-H bond.

Likewise, a slight upstream shifting in C=O stretching peak from

1710 to 1714 cm-1 and 1696 to 1703 cm-1 in treated nicotinic acid

also suggests an increase in force constant of C=O bond in treated

sample as compared to control. Contrarily, a slight downstream

shifting in wavenumber of treated nicotinic acid from 1186 to 1180

cm-1 C-O (COO- stretching); and from 1033 to 1037 cm-1 (=C-H

in plane bending) suggests the decrease in force constant of C-O

bond and decrease in rigidity of =C-H bond in treated sample as

14961506C-H symmetrical deformation vibrations

1151-11951151-1195C-C skeletal vibrations

967-1062967-1056C-N stretching

818-914817-914C-S stretching

554-666553-665S-S stretching

Table 1: FT-IR vibrational peaks observed in Disulram.

Figure 3: FT-IR spectra of Nicotinic acid (a) control and (b) treated.

2808-30712818-3081C-H stretching

1696-17101703-1714C=O (COO-) asymmetric stretching

11861180C-OH (Ph-OH) stretching

1033-11141037-1116=C-H in-plane bending

642-812642-812=C-H out of plane bending

Table 2: FT-IR vibrational peaks observed in Nicotinic acid.

# data[].attributes.attachment_link.title
Spectroscopic Characterization of Disulfiram and Nicotinic Acid after Biofield Treatment - PdfSR.com

# data[].attributes.attachment_link.description
Disulfiram is being used clinically as an aid in chronic alcoholism, while nicotinic acid is one of a B-complex vitamin that has cholesterol lowering activity. The aim of present study was to investigate the impact of biofield treatment on spectral properties of disulfiram and nicotinic acid.

# data[].attributes.headline
	
	
	
	
	Spectroscopic Characterization of Disulfiram & Nicotinic Acid - Study more
	

# data[].attributes.subject
	
	
	
	
	Spectroscopic Characterization of Disulfiram & Nicotinic Acid - Study more
	

# data[].attributes.body
To know more about the effect of biofield treatment on the Spectroscopic Characterization of Disulfiram and Nicotinic Acid, click this research.

# data[].attributes.attachment_link.title
"Spectroscopic Characterization of Disulfiram and Nicotinic Acid after Biofield Treatment" by Mahendra Kumar Trivedi

# data[].attributes.attachment_link.description
Disulfiram is being used clinically as an aid in chronic alcoholism, while nicotinic acid is one of a B-complex vitamin that has cholesterol lowering activity. The aim of present study was to investigate the impact of biofield treatment on spectral properties of disulfiram and nicotinic acid.

# data[].attributes.headline
	
	
	
	
	Biofield Treatment Effect on Disulfiram & Nicotinic Acid - View more
	

# data[].attributes.subject
	
	
	
	
	Biofield Treatment Effect on Disulfiram & Nicotinic Acid - View more
	

# data[].attributes.body
View the impact of Mahendra Kumar Trivedi biofield energy on spectral properties of Disulfiram & Nicotinic Acid. Disulfiram is being used clinically as an aid in chronic alcoholism, while nicotinic acid is one of a B-complex vitamin that has cholesterol lowering activity.

# data[].attributes.headline
	
	
	
	
	Significant Impact of Biofield on Disulfiram & Nicotinic Acid  Spectral Properties
	

# data[].attributes.subject
	
	
	
	
	Significant Impact of Biofield on Disulfiram & Nicotinic Acid  Spectral Properties
	

# data[].attributes.body
The study to check the significant impact of Biofield treatment on structural property of Disulfiram and Nicotinic Acid.

# data[].attributes.headline
Spectral Properties of Disulfiram & Nicotinic Acid | Academia.edu
	

# data[].attributes.subject
Spectral Properties of Disulfiram & Nicotinic Acid | Academia.edu
	

# data[].attributes.body
View Spectroscopic Characterization of Disulfiram and Nicotinic Acid after Biofield Treatment by Mahendra Kumar Trivedi on Academia.edu

# data[].attributes.attachment_link.title
Spectroscopic Characterization of Disulfiram and Nicotinic Acid after Biofield Treatment

# data[].attributes.attachment_link.description
Disulfiram is being used clinically as an aid in chronic alcoholism, while nicotinic acid is one of a B-complex vitamin that has cholesterol lowering activity. The aim of present study was to investigate the impact of biofield treatment on spectral

# data[].attributes.headline
	
	
	
	
	
		Disulfiram & Nicotinic Acid - An aid in chronic alcoholism
	

# data[].attributes.subject
	
	
	
	
	
		Disulfiram & Nicotinic Acid - An aid in chronic alcoholism
	

# data[].attributes.body
See the impact of biofield energy by Mahendra Kumar Trivedi on spectral properties of Disulfiram & Nicotinic Acid. Disulfiram is being used clinically as an aid in chronic alcoholism, while nicotinic acid is one of a B-complex vitamin that has cholesterol lowering activity.

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	Mahendra Trivedi – Healing with Human Aura Field Energy 
	

# data[].attributes.subject
	
	
	
	
	Mahendra Trivedi – Healing with Human Aura Field Energy 
	

# data[].attributes.body
Mahendra Trivedi has an ability to transmit a very powerful human aura field that has been scientifically proven to improve mental and physical wellbeing.

# data[].attributes.attachment_link.title
Healers Mastery Program & Wine Experiment | Trivedi Testimonials

# data[].attributes.headline
	
	
	
	
	Mahendra Trivedi – Healing Relationships with Energy Medicine
	

# data[].attributes.subject
	
	
	
	
	Mahendra Trivedi – Healing Relationships with Energy Medicine
	

# data[].attributes.body
Biofield Energy Treatment has an ability to bring positive influence in people’s relationships thus enhancing and strengthening the bonds. Watch video for more details.

# data[].attributes.attachment_link.title
Trivedi Effect on Relationships & Personal Life | Energy Transmission | Trivedi Testimonials

# data[].attributes.headline
	
	
	
	
	Mahendra Trivedi – How to Maximize your Senses 
	

# data[].attributes.subject
	
	
	
	
	Mahendra Trivedi – How to Maximize your Senses 
	

# data[].attributes.body
Mahendra Trivedi has a unique ability to transmit a powerful form of human aura field energy that has been proven beneficial in healing various physical, mental and social disorders. Know how this energy can help in maximizing your senses to its highest potential.

# data[].attributes.attachment_link.title
Debra’ Testimonial | Enhanced her Senses and the Confidence | Trivedi Testimonials

# data[].attributes.headline
	
	
	
	
	Mahendra Trivedi – How to Get Healthy Glowing skin
	

# data[].attributes.subject
	
	
	
	
	Mahendra Trivedi – How to Get Healthy Glowing skin
	

# data[].attributes.body
Know how you can improve your skin texture and its health naturally overnight. Biofield blessed Dahryn Silver Gel helps healing your skin from beneath hence promoting healthy glow to your face.

# data[].attributes.attachment_link.title
Impact of Trivedi Product | Dahryn Silver Gel's Effect | Trivedi Testimonials

# data[].attributes.headline
	
	
	
	
	iofield | Effect on Biofield Treated 2, 6-Diaminopyridine
	

# data[].attributes.subject
	
	
	
	
	iofield | Effect on Biofield Treated 2, 6-Diaminopyridine
	

# data[].attributes.body
To evaluate the effect of biofield treatment and characterization of physical, thermal and spectral properties of 2, 6-diaminopyridine. Present study was done by Mahendra Kumar Trivedi.

# data[].attributes.attachment_link.title
Characterization of Physical, Thermal and Spectral Properties of Biofield Treated 2, 6-Diaminopyridine | Mahendra Trivedi | Alice Branton | Dahryn Trivedi | Gopal Nayak | Academic Room

# data[].attributes.attachment_link.description
2, 6-Diaminopyridine (2, 6-DAP) has extensive use in synthesis of pharmaceutical compounds. The objective of present research was to investigate the influence of biofield treatment on physical, thermal and spectral properties of 2, 6-DAP. The study was performed in two groups, control and treated.

# data[].attributes.headline
	
	
	
	
	Characterization & Properties of Biofield Treated 2, 6-Diaminopyridine
	

# data[].attributes.subject
	
	
	
	
	Characterization & Properties of Biofield Treated 2, 6-Diaminopyridine
	

# data[].attributes.body
Know more about the effect of Biofield Treatment and Characterization of physical, thermal and spectral properties of biofield treated 2, 6-Diaminopyridine, Read this research done by Mahendra Kumar Trivedi.

# data[].attributes.attachment_link.keywords[]
fourier transform infrared (ft-ir) spectroscopy

# data[].attributes.attachment_link.title
"Characterization of Physical, Thermal and Spectral Properties of Biofield Treated 2, 6-Diaminopyridine" by Mahendra Kumar Trivedi

# data[].attributes.attachment_link.description
2, 6-Diaminopyridine (2, 6-DAP) has extensive use in synthesis of pharmaceutical compounds. The objective of present research was to investigate the influence of biofield treatment on physical, thermal and spectral properties of 2, 6-DAP. The study was performed in two groups, control and treated.

# data[].attributes.headline
	
	
	
	
	Biofield Treatment on 2, 6-Diaminopyridine Pharmaceutical Compounds
	

# data[].attributes.subject
	
	
	
	
	Biofield Treatment on 2, 6-Diaminopyridine Pharmaceutical Compounds
	

# data[].attributes.body
View Mahendra Kumar Trivedi Biofield Treatment impact and Characterization of physical, thermal and spectral properties of biofield treated 2, 6-Diaminopyridine.

# data[].attributes.headline
	
	
	
	
	Biofield | Spectral Properties of 2, 6-Diaminopyridine
	

# data[].attributes.subject
	
	
	
	
	Biofield | Spectral Properties of 2, 6-Diaminopyridine
	

# data[].attributes.body
2, 6-Diaminopyridine was divided into two parts; one was kept as a control sample, while the other was subjected to Mr. Trivedi’s biofield treatment and coded as treated sample. After biofield treatment the control and treated group was subjected to physicochemical characterization under standard laboratory conditions.

# data[].attributes.attachment_link.title
Characterization of Physical, Thermal and Spectral Properties of Biofield Treated 2, 6-Diaminopyridine

# data[].attributes.attachment_link.description
2, 6-Diaminopyridine (2, 6-DAP) has extensive use in synthesis of pharmaceutical compounds. The objective of present research was to investigate the influence of biofield treatment on physical, thermal and spectral properties of 2, 6-DAP. The study

# data[].attributes.headline
	
	
	
	
	Characterization of Biofield Treated 2, 6-Diaminopyridine
	

# data[].attributes.subject
	
	
	
	
	Characterization of Biofield Treated 2, 6-Diaminopyridine
	

# data[].attributes.body
Diaminopyridine has extensive use in synthesis of pharmaceutical compounds. Read the clinical study on the impact of Biofield treatment on diaminopyridine pharmaceutical compound.

# data[].attributes.headline
	
	
	
	
	Spectral Properties of Biofield Treated 2, 6-Diaminopyridine
	

# data[].attributes.subject
	
	
	
	
	Spectral Properties of Biofield Treated 2, 6-Diaminopyridine
	

# data[].attributes.body
The objective of present research was to investigate the influence of biofield treatment on physical, thermal and spectral properties of 2, 6-DAP. The study was performed in two groups, control and treated.

# data[].attributes.headline
	
	
	
	
	An Open Access Journal of Developing Drugs | Omicsgroup
	

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	An Open Access Journal of Developing Drugs | Omicsgroup
	

# data[].attributes.body
Diaminopyridine (2, 6-DAP) has extensive use in synthesis of pharmaceutical compounds.The objective of research was to investigate the influence of biofield treatment on physical, thermal and spectral properties of 2, 6-DAP.

# data[].attributes.headline
	
	
	
	
	Read Research on Biofield Treated 1,2,3-Trimethoxybenzene
	

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	Read Research on Biofield Treated 1,2,3-Trimethoxybenzene
	

# data[].attributes.body
Research done by Mahendra Kumar Trivedi - Read more about the physical, thermal and spectral properties of biofield treated 1,2,3-Trimethoxybenzene.

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Volume 4 * Issue 4 * 1000136

ISSN: 2329-6631 JDD an open access journal

Research ArticleOpen Access

Journal of Developing Drugs

Trivedi et al.,J Develop Drugs 2015, 4:4

http://dx.doi.org/10.4172/2329-6631.1000136

Keywords: X-ray diraction; ermal analysis; Fourier transform

infrared (FT-IR) spectroscopy; Ultra violet-visible spectroscopy (UV-

Abbreviations: XRD: X-ray diraction; DSC: Dierential scanning

calorimetry; TGA: ermogravimetric analysis; FT-IR: Fourier

transform infrared; UV-Vis: Ultra Violet-Visible spectroscopy analysis;

CAM: Complementary and alternative medicine

Benzene-based compounds are used as an intermediate for

the synthesis of pesticides and other chemicals. Methoxybenzene

derivatives such as anisole (methoxybenzene) and veratrole

(1,2-dimethoxybenzene) are widely used in perfumes, insect

pheromones, pharmaceuticals [1] and synthesis of organic compounds

[2]. 1,2,3-Trimethoxybenzene is an organic compound with excellent

physical properties due to its interesting chemical structure [3]. It has

been used to study the eect of solvent on photo-induced electron

transfer reactions [4]. 1,2,3-Trimethoxybenzene was used as an

intermediate for the synthesis of 2,4-diamino-5-benzylpyrimidines

and analogues for antimicrobial applications [5]. However,

1,2,3-trimethoxybenzene based compounds are potentially toxic in

nature and causes enormous health problems. ese compounds are

found in many hazardous waste sites that have been proposed for

inclusion in the environmental protection agency (EPA) national

priority list [6]. e distribution and degradation of the chemicals

entirely depend on physicochemical properties of the chemicals. ese

properties are namely molecular weight, solubility, volatilization,

and polarity [7,8]. It was reported that by improving volatilization

of the chemicals it might accelerate the degradation by reacting with

photochemicaly-produced free radicals [9]. Chakraborty et al. used

anaerobic degradation of benzene derivatives by Dechloromonas

strain [10]. However, these methods are not cost eective. us,

some alternate strategies should be designed which can increase the

degradation of 1,2,3-Trimethoxybenzene, ultimately it might reduce

the health problems associated with this compound. Recently, bioeld

energy treatment was used as potential strategy to alter the physical,

chemical and thermal properties of metals [11,12], ceramic [13], organic

compounds [14,15], and organic products [16,17]. erefore, authors

planned to investigate the inuence of bioeld energy treatment on

physical, thermal and spectral properties of 1,2,3-trimethoxybenzene.

e National Centre for Complementary and Alternative Medicine

(NCCAM), which is a part of the National Institute of Health (NIH),

endorses the use of Complementary and Alternative Medicine (CAM)

therapies as an alternative in the healthcare sector, and about 36%

of Americans regularly uses some form of CAM [18]. CAM includes

numerous energy-healing therapies; bioeld therapy is one of the

energy medicine used worldwide to improve overall health.

Study background: 1,2,3-Trimethoxybenzene is an important compound used for the synthesis of chemicals and

pharmaceutical agents. The objective of this study was to investigate the inuence of bioeld energy treatment on the

physical, thermal and spectral properties of 1,2,3-trimethoxybenzene.

Methods: The study was performed by dividing the sample into two groups (control and treated). The control

group remained as untreated, while the treated group received Mr Trivedi's bioeld energy treatment. The control

and treated 1,2,3-trimethoxybenzene samples were then characterized by X-ray diffraction (XRD), differential scanning

calorimetry (DSC), thermogravimetric analysis (TGA), Fourier transform infrared (FT-IR) spectroscopy, and ultra violet-

visible spectroscopy (UV-Vis) analysis.

Results: XRD studies revealed the signicant increase in crystallite size of treated sample by 45.96% as compared

to the control sample. DSC analysis showed a decrease in melting temperature of the treated sample (45.93ºC) with

respect to control (46.58ºC). Additionally, the substantial change was evidenced in latent heat of fusion of treated

sample by 64.18% as compared to the control. TGA analysis indicated a decrease in maximum thermal decomposition

temperature (Tmax ) of treated sample (151.92ºC) as compared to the control sample (154.43ºC). This indicated the

decrease in thermal stability of the treated sample as compared to the control. FT-IR spectroscopic analysis showed

an increase in the frequency of C-O bond in treated sample (1105→1174 cm-1 ) as compared to the control sample.

However, UV analysis showed no changes in absorption peaks in treated sample as compared to the untreated sample.

Conclusion: Overall, the result indicated that bioeld energy treatment has altered the physical, thermal and

spectral properties of the treated sample as compared to control. Hence, the treated sample could be used as an

intermediate in the synthesis of organic compounds.

*Corresponding author: Snehasis Jana, Trivedi Science Research Laboratory Pvt.

Ltd., Hall-A, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Rd., Bhopal-462

Received September 16, 2015; Accepted September 29, 2015; Published

Citation: Trivedi MK, Tallapragada RM, Branton A, Trivedi D, Nayak G, et al. (2015)

Physical, Thermal and Spectral Properties of Bioeld Treated 1,2,3-Trimethoxybenzene.

J Develop Drugs 4: 136. doi:10.4172/2329-6631.1000136

Copyright: © 2015 Trivedi MK, et al. This is an open-access article distributed

under the terms of the Creative Commons Attribution License, which permits un-

restricted use, distribution, and reproduction in any medium, provided the original

author and source are credited.

Physical, Thermal and Spectral Properties of Biofield Treated

Mahendra Kumar Trivedi1, Rama Mohan Tallapragada1 , Alice Branton1 , Dahryn Trivedi1, Gopal Nayak1, Rakesh Kumar Mishra2 and

1Trivedi Global Inc., 10624 S Eastern Avenue Suite A-969, Henderson, NV 89052, USA

2Trivedi Science Research Laboratory Pvt. Ltd., Hall-A, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Rd., Bhopal, Madhya Pradesh, India

Citation:Trivedi MK, Tallapragada RM, Branton A, Trivedi D, Nayak G, et al. (2015) Physical, Thermal and Spectral Properties of Bioeld Treated

1,2,3-Trimethoxybenzene. J Develop Drugs 4: 136. doi:10.4172/2329-6631.1000136

Volume 4 * Issue 4 * 1000135

ISSN: 2329-6631 JDD an open access journal

Researchers have shown that when atoms undergo any

translation, vibration, rotation and quantiable motion a measurable

electromagnetic radiation is generated which is evident by acoustic

or vibrational spectroscopy [19]. Likewise, the cells present in the

human body are consisting of the electron, proton, neutron and

fundamental particles that always remain in a state of vibratory motion

[19]. Additionally, neurons that are present in the human central

nervous system have the ability to transmit the information in the

form of electrical signals [20-23]. us, human bioeld is referred

as an energetic eld or matrix that surrounds the human body. is

energetic eld is identical to superhighway that allows DNA in our

cells to communicate faster than light and maintain coherent, holistic

intelligence in the organism [24]. erefore, it is envisaged that human

beings have the ability to harness the energy from the environment/

Universe and can transmit into any object (living or non-living)

around the Globe. e object(s) will always receive the energy and

responding in a useful manner that is called bioeld energy. Mr Trivedi

is known transform the characteristics of various living and non-living

things using his unique bioeld energy. is bioeld energy treatment

is also known as e Trivedi Eect®. It is known to alter phenotype

characteristics of microbes [25,26] and improved the growth and

anatomical characteristics of medicinal plants [27,28].

Aer considering the potential of bioeld energy treatment and

chemical properties of 1,2,3- trimethoxybenzene, this study was

conducted to investigate the inuence of this treatment on physical,

thermal and spectral properties of the compound.

1,2,3-Trimethoxybenzene was procured from S D Fine Chemicals

Ltd., India. e sample was divided into two parts; one was kept as a

control sample while the other was subjected to Mr Trivedi's unique

bioeld energy treatment and coded as treated sample. e treated

group was in sealed pack and handed over to Mr Trivedi for bioeld

energy treatment under standard laboratory conditions. Mr Trivedi has

given the energy treatment through his energy transmission process

to the treated samples without touching the sample. e control and

treated samples were characterized by X-ray diraction, Dierential

scanning calorimetry, ermogravimetric analysis, Fourier transform

infrared spectroscopy, and Ultra violet-visible analysis.

X-ray diraction (XRD) study: e XRD analysis of control

and treated 1,2,3-trimethoxybenzene were carried out using Phillips,

Holland PW 1710 X-ray diractometer system, which contains a

copper anode with nickel lter. e radiation of wavelength used by the

XRD system was 1.54056 Å. e XRD results obtained were presented

in the form of a chart of 2θ vs. intensity. e average crystallite size (G)

was calculated by using formula:

Here, λ is the wavelength of radiation used; b is full-width half-

maximum (FWHM) of peaks and k is the equipment constant (=0.94).

Percentage change in average crystallite size was calculated using

Percent change in average crystallite size=[(Gt -Gc)/Gc ] × 100

Where, Gc and Gt are the average crystallite size of control and

treated powder samples respectively.

Dierential scanning calorimetry (DSC): e control and treated

1,2,3-trimethoxybenzene samples were analysed using a Pyris-6 Perkin

Elmer DSC at a heating rate of 10ºC/min under air atmosphere, and

the air was ushed at a ow rate of 5 mL/min. Predetermined amount

of sample was kept in an aluminium pan and closed with a lid. A blank

aluminium pan was used as a reference. e percentage change in

latent heat of fusion was calculated using following equations:

% change in Latent heat of fusion 100

Where, ΔH Control and ΔH Treated are the latent heat of fusion of

control and treated samples, respectively.

ermogravimetric analysis-Dierential thermal analysis

(TGA-DTA): e thermal stability of control and treated

1,2,3-trimethoxybenzene were analysed by using Mettler Toledo

simultaneous TGA and Dierential thermal analyser (DTA). e

samples were heated from room temperature to 400ºC using a heating

rate of 5ºC/min under air atmosphere.

FT-IR spectroscopy: e FT-IR spectra were recorded on

Shimadzu's Fourier transform infrared spectrometer (Japan) with the

frequency range of 4000-500 cm-1 . e analysis was accomplished to

evaluate the eect of bioeld treatment at an atomic level like dipole

moment, force constant and bond strength in chemical structure [29].

e treated sample was divided into two parts T1 and T2 for FT-IR

UV-Vis spectroscopic analysis: UV spectra of the control and

treated 1,2,3-trimethoxybenzene samples were acquired on Shimadzu

UV-2400 PC series spectrophotometer with 1 cm quartz cell and a

slit width of 2.0 nm. Methanol was used as a solvent and the analysis

was carried out using wavelength in the range of 200-400 nm. e UV

spectra were analysed to determine the eect of bioeld treatment

on the energy gap of highest occupied molecular orbital and lowest

unoccupied molecular orbital (HOMO-LUMO gap) [29]. e treated

sample was divided in two parts T1 and T2 for the analysis.

e XRD was used to investigate the crystalline nature of control

and treated 1,2,3-trimethoxybenzene sample. e XRD diractogram

of control and treated 1,2,3-trimethoxybenzene are presented in Figure

1. XRD diractogram of control 1,2,3-trimethoxybenzene showed

intense crystalline peaks at 2θ equal to 13.05º, 13.29º, 13.54º, 19.54º,

21.67º, 22.75º, 25.55º, 25.77º, 26.78º and 27.20º. Whereas, the treated

1,2,3-trimethoxybenzene also showed XRD peaks at 2θ equal to 13.50º,

13.68º, 19.24º, 22.99º, 26.03º, 27.09º and 27.31º. e comparative

evaluation of the XRD diractograms showed the decrease in

intensity of XRD peaks of treated samples with respect to the control.

It is assumed that bioeld energy treatment might disturb the long-

range pattern of the 1,2,3-trimethoxybenzene molecules that led to a

reduction in crystallinity of the sample.

e crystallite size of control and treated 1,2,3-trimethoxybenzene

was computed using Scherrer formula, and data are depicted in

Figure 2. e crystallite size is known as a group of molecules or

atoms having orientation in the same plane. It was reported that

crystallite size directly inuences the materials properties, and it is

one of the crystallographic parameters linked with the formation of

dislocations and point defects in a crystal structure [30]. e crystallite

size of control 1,2,3- trimethoxybenzene was 67.23 nm, and it was

substantially increased up to 98.13 nm in the treated sample. e result

indicated 45.96% increase in the crystallite size of treated compound

as compared to the control sample. Pang and Bao reported that due

Citation:Trivedi MK, Tallapragada RM, Branton A, Trivedi D, Nayak G, et al. (2015) Physical, Thermal and Spectral Properties of Bioeld Treated

1,2,3-Trimethoxybenzene. J Develop Drugs 4: 136. doi:10.4172/2329-6631.1000136

Volume 4 * Issue 4 * 1000135

ISSN: 2329-6631 JDD an open access journal

to synthesis temperature and ripening on hydroxyapatite causes an

increase in crystallite size [31]. Rey et al. [32] and Drouet et al. [33]

reported an increase in crystal size with increase in temperature and

pH. Hence, it is presumed here that bioeld treatment might provide

thermal energy to the treated 1,2,3-trimethoxybenzene atoms or

molecules that lead to a reduction in dislocation density and increase

in crystallite size as compared to the control. Carballo et al. reported

that the rate of reaction can be signicantly improved by an increase

in crystallite size [34]. us, it is assumed that the increased crystallite

size of treated 1,2,3-trimethoxybenzene might accelerate its reaction

rate and percentage reaction yield during the synthesis of compounds.

Additionally, the increased crystallite size can be correlated with

increase in particle size and hence decrease solubility [35]. Hence, it

is assumed that this might increase the volatilization leading to faster

degradation of the treated sample as compared to control.

DSC study: DSC was used to investigate the latent heat of fusion and

melting nature of the control and treated samples. DSC thermogram

of control and treated 1,2,3-trimethoxybenzene are presented in

Figure 3. e DSC thermogram of control 1,2,3-trimethoxybenzene

showed a sharp endothermic inexion at 46.58ºC that was due

to melting temperature of the sample. However, the treated

1,2,3-trimethoxybenzene showed an endothermic peak at 45.93ºC.

is indicated the decrease in melting temperature of the treated

sample with respect to the control. It was reported that if the molecules

contributing to a lattice are rigid, compact and symmetrical they tend

to maximize the intermolecular interactions. us, a compound with

less compact molecular arrangement has a low melting temperature

than compactly arranged compound i.e., more energy is needed to

separate the molecules [36]. Hence, it is assumed that bioeld treated

sample might have a less compact arrangement that lead to the decrease

e latent heat of fusion was computed from the DSC thermogram

and data are presented in Table 1. e control compound showed a latent

heat of fusion of 104.28 J/g and it was increased signicantly to 171.21

J/g in the treated sample. e results indicated a signicant increase in

latent heat of fusion by 64.18% as compared to the control sample. e

latent heat of fusion is considered as the energy required to overcome

Figure 1: XRD diffractograms of control and treated 1,2,3-trimethoxybenzene.

Figure 3: DSC thermograms of control and treated 1,2,3-trimethoxybenzene.

Figure 2: Crystallite size of control and treated 1,2,3-trimethoxybenzene.

ParameterControl Treated

Latent heat of fusion ΔH (J/g)104.28171.21

Melting temperature (ºC)46.5845.93

Weight loss (%)53.9357.04

Table 1: Thermal analysis data of control and treated 1,2,3-trimethoxybenzene.

Tmax : Maximum thermal decomposition temperature.

# data[].attributes.attachment_link.title
Physical, Thermal and Spectral Properties of Biofield Treated 1,2,3-Trimethoxybenzene - PdfSR.com

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Study background: 1,2,3-Trimethoxybenzene is an important compound used for the synthesis of chemicals and pharmaceutical agents. The objective of this study was to investigate the influence of biofield energy treatment on the physical, thermal and spectral properties of 1,2,3-trimethoxybenzene. Methods: The study was performed by dividing the sample into two groups (control and treated).

# data[].attributes.headline
	
	
	
	
	Biofield and its Effect on 1,2,3-Trimethoxybenzene | Bepress
	

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	Biofield and its Effect on 1,2,3-Trimethoxybenzene | Bepress
	

# data[].attributes.body
Trimethoxybenzene(-1,2,3) is an important compound used for the synthesis of chemicals and pharmaceutical agents. The objective of this study was to investigate the physical, thermal and spectral properties of Biofield Treated 1,2,3-trimethoxybenzene.

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fourier transform infrared (ft-ir) spectroscopy

# data[].attributes.attachment_link.keywords[]
spectral properties of 1 2 3-trimethoxybenzene

# data[].attributes.attachment_link.title
"Physical, Thermal and Spectral Properties of Biofield Treated 1,2,3-Trimethoxybenzene" by Mahendra Kumar Trivedi

# data[].attributes.attachment_link.description
Study background: 1,2,3-Trimethoxybenzene is an important compound used for the synthesis of chemicals and pharmaceutical agents. The objective of this study was to investigate the influence of biofield energy treatment on the physical, thermal and spectral properties of 1,2,3-trimethoxybenzene. Methods: The study was performed by dividing the sample into two groups (control and treated).

# data[].attributes.headline
	
	
	
	
	Biofield – Impact on Spectral Properties of 1,2,3-Trimethoxybenzene
	

# data[].attributes.subject
	
	
	
	
	Biofield – Impact on Spectral Properties of 1,2,3-Trimethoxybenzene
	

# data[].attributes.body
An impact of Biofield treatment on 1,2,3-Trimethoxybenzene, Studies revealed the significant increase in crystallite size of treated sample by 45.96% as compared to the control sample.

# data[].attributes.headline
	
	
	
	
	Biofield Treated 1,2,3-Trimethoxybenzene Organic Compound
	

# data[].attributes.subject
	
	
	
	
	Biofield Treated 1,2,3-Trimethoxybenzene Organic Compound
	

# data[].attributes.body
1,2,3-Trimethoxybenzene is an organic compound with excellent physical properties due to its interesting chemical structure. It was used as an intermediate for the synthesis of 2,4-diamino-5-benzylpyrimidines and analogues for antimicrobial applications.

# data[].attributes.attachment_link.title
Physical, Thermal and Spectral Properties of Biofield Treated 1,2,3-Trimethoxybenzene

# data[].attributes.attachment_link.description
Study background: 1,2,3-Trimethoxybenzene is an important compound used for the synthesis of chemicals and pharmaceutical agents. The objective of this study was to investigate the influence of biofield energy treatment on the physical, thermal and

# data[].attributes.headline
	
	
	
	
	Spectral Properties of Biofield Treated 1,2,3-Trimethoxybenzene
	

# data[].attributes.subject
	
	
	
	
	Spectral Properties of Biofield Treated 1,2,3-Trimethoxybenzene
	

# data[].attributes.body
Mahendra Kumar Trivedi - Test to investigate the impact of Biofield treatment on the physical, thermal and spectral properties of 1,2,3-Trimethoxybenzene.

# data[].attributes.headline
	
	
	
	
	Biofield Energy Treated 1,2,3-Trimethoxybenzene | An Open Access Journal
	

# data[].attributes.subject
	
	
	
	
	Biofield Energy Treated 1,2,3-Trimethoxybenzene | An Open Access Journal
	

# data[].attributes.body
The objective of this study was to investigate the influence of biofield energy treatment on the physical, thermal and spectral properties of 1,2,3-trimethoxybenzene.

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	An Open Access Journal of Developing Drugs | Omicsgroup
	

# data[].attributes.subject
	
	
	
	
	An Open Access Journal of Developing Drugs | Omicsgroup
	

# data[].attributes.body
Trimethoxybenzene-1,2,3 is an important compound used for the synthesis of chemicals and pharmaceutical agents. The objective of this study was to investigate the influence of biofield energy treatment on the physical, thermal and spectral properties of 1,2,3-trimethoxybenzene.

# data[].attributes.attachment_link.readable_text
Mahendra Kumar Trivedi1, Rama Mohan Tallapragada1, Alice Branton1, Dahryn Trivedi1, Gopal Nayak1, Rakesh Kumar Mishra2 and Snehasis Jana2*

¹ Trivedi Global Inc., 10624 S Eastern Avenue Suite A-969, Henderson, NV 89052, USA

² Trivedi Science Research Laboratory Pvt. Ltd., Hall-A, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Rd., Bhopal, Madhya Pradesh, India

*Corresponding Author:

Snehasis Jana
Trivedi Science Research Laboratory Pvt. Ltd
Hall-A, Chinar Mega Mall, Chinar Fortune City
Hoshangabad Rd., Bhopal-462 026
Madhya Pradesh, India
Tel: +91-755-6660006 [email protected]

Received date: September 16, 2015; Accepted date: September 29, 2015; Published date October 10, 2015

Citation: Trivedi MK, Tallapragada RM, Branton A, Trivedi D, Nayak G, et al. (2015) Physical, Thermal and Spectral Properties of Biofield Treated 1,2,3-Trimethoxybenzene. J Develop Drugs 4:136. doi:10.4172/2329-6631.1000136

Copyright: © 2015 Trivedi MK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Developing Drugs

Abstract

Study background: 1,2,3-Trimethoxybenzene is an important compound used for the synthesis of chemicals and pharmaceutical agents. The objective of this study was to investigate the influence of biofield energy treatment on the physical, thermal and spectral properties of 1,2,3-trimethoxybenzene. Methods: The study was performed by dividing the sample into two groups (control and treated). The control group remained as untreated, while the treated group received Mr Trivedi's biofield energy treatment. The control and treated 1,2,3-trimethoxybenzene samples were then characterized by X-ray diffraction (XRD), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), Fourier transform infrared (FT-IR) spectroscopy, and ultra violetvisible spectroscopy (UV-Vis) analysis. Results: XRD studies revealed the significant increase in crystallite size of treated sample by 45.96% as compared to the control sample. DSC analysis showed a decrease in melting temperature of the treated sample (45.93ºC) with respect to control (46.58ºC). Additionally, the substantial change was evidenced in latent heat of fusion of treated sample by 64.18% as compared to the control. TGA analysis indicated a decrease in maximum thermal decomposition temperature (Tmax) of treated sample (151.92ºC) as compared to the control sample (154.43ºC). This indicated the decrease in thermal stability of the treated sample as compared to the control. FT-IR spectroscopic analysis showed an increase in the frequency of C-O bond in treated sample (1105→1174 cm-1) as compared to the control sample. However, UV analysis showed no changes in absorption peaks in treated sample as compared to the untreated sample. Conclusion: Overall, the result indicated that biofield energy treatment has altered the physical, thermal and spectral properties of the treated sample as compared to control. Hence, the treated sample could be used as an intermediate in the synthesis of organic compounds.

Keywords

X-ray diffraction; Thermal analysis; Fourier transform infrared (FT-IR) spectroscopy; Ultra violet-visible spectroscopy (UVVis) analysis

Abbreviations

XRD: X-ray diffraction; DSC: Differential scanning calorimetry; TGA: Thermogravimetric analysis; FT-IR: Fourier transform infrared; UV-Vis: Ultra Violet-Visible spectroscopy analysis; CAM: Complementary and alternative medicine

Introduction

Benzene-based compounds are used as an intermediate for the synthesis of pesticides and other chemicals. Methoxybenzene derivatives such as anisole (methoxybenzene) and veratrole (1,2-dimethoxybenzene) are widely used in perfumes, insect pheromones, pharmaceuticals [ 1] and synthesis of organic compounds [ 2]. 1,2,3-Trimethoxybenzene is an organic compound with excellent physical properties due to its interesting chemical structure [ 3]. It has been used to study the effect of solvent on photo-induced electron transfer reactions [ 4]. 1,2,3-Trimethoxybenzene was used as an intermediate for the synthesis of 2,4-diamino-5-benzylpyrimidines and analogues for antimicrobial applications [ 5]. However, 1,2,3-trimethoxybenzene based compounds are potentially toxic in nature and causes enormous health problems. These compounds are found in many hazardous waste sites that have been proposed for inclusion in the environmental protection agency (EPA) national priority list [ 6]. The distribution and degradation of the chemicals entirely depend on physicochemical properties of the chemicals. These properties are namely molecular weight, solubility, volatilization, and polarity [ 7, 8]. It was reported that by improving volatilization of the chemicals it might accelerate the degradation by reacting with photochemicaly-produced free radicals [ 9]. Chakraborty et al. used anaerobic degradation of benzene derivatives by Dechloromonas strain [ 10]. However, these methods are not cost effective. Thus, some alternate strategies should be designed which can increase the degradation of 1,2,3-Trimethoxybenzene, ultimately it might reduce the health problems associated with this compound. Recently, biofield energy treatment was used as potential strategy to alter the physical, chemical and thermal properties of metals [ 11, 12], ceramic [ 13], organic compounds [ 14, 15], and organic products [ 16, 17]. Therefore, authors planned to investigate the influence of biofield energy treatment on physical, thermal and spectral properties of 1,2,3-trimethoxybenzene.

The National Centre for Complementary and Alternative Medicine (NCCAM), which is a part of the National Institute of Health (NIH), endorses the use of Complementary and Alternative Medicine (CAM) therapies as an alternative in the healthcare sector, and about 36% of Americans regularly uses some form of CAM [ 18]. CAM includes numerous energy-healing therapies; biofield therapy is one of the energy medicine used worldwide to improve overall health.

Researchers have shown that when atoms undergo any translation, vibration, rotation and quantifiable motion a measurable electromagnetic radiation is generated which is evident by acoustic or vibrational spectroscopy [ 19]. Likewise, the cells present in the human body are consisting of the electron, proton, neutron and fundamental particles that always remain in a state of vibratory motion [ 19]. Additionally, neurons that are present in the human central nervous system have the ability to transmit the information in the form of electrical signals [ 20- 23]. Thus, human biofield is referred as an energetic field or matrix that surrounds the human body. This energetic field is identical to superhighway that allows DNA in our cells to communicate faster than light and maintain coherent, holistic intelligence in the organism [ 24]. Therefore, it is envisaged that human beings have the ability to harness the energy from the environment/ Universe and can transmit into any object (living or non-living) around the Globe. The object(s) will always receive the energy and responding in a useful manner that is called biofield energy. Mr Trivedi is known transform the characteristics of various living and non-living things using his unique biofield energy. This biofield energy treatment is also known as The Trivedi Effect®. It is known to alter phenotype characteristics of microbes [ 25, 26] and improved the growth and anatomical characteristics of medicinal plants [ 27, 28].

After considering the potential of biofield energy treatment and chemical properties of 1,2,3- trimethoxybenzene, this study was conducted to investigate the influence of this treatment on physical, thermal and spectral properties of the compound.

Materials and Methods

1,2,3-Trimethoxybenzene was procured from S D Fine Chemicals Ltd., India. The sample was divided into two parts; one was kept as a control sample while the other was subjected to Mr Trivedi's unique biofield energy treatment and coded as treated sample. The treated group was in sealed pack and handed over to Mr Trivedi for biofield energy treatment under standard laboratory conditions. Mr Trivedi has given the energy treatment through his energy transmission process to the treated samples without touching the sample. The control and treated samples were characterized by X-ray diffraction, Differential scanning calorimetry, Thermogravimetric analysis, Fourier transform infrared spectroscopy, and Ultra violet-visible analysis.
Characterization
X-ray diffraction (XRD) study: The XRD analysis of control and treated 1,2,3-trimethoxybenzene were carried out using Phillips, Holland PW 1710 X-ray diffractometer system, which contains a copper anode with nickel filter. The radiation of wavelength used by the XRD system was 1.54056 Å. The XRD results obtained were presented in the form of a chart of 2θ vs. intensity. The average crystallite size (G) was calculated by using formula:

G=kλ/ (bCosθ)

Here, λ is the wavelength of radiation used; b is full-width halfmaximum (FWHM) of peaks and k is the equipment constant (=0.94). Percentage change in average crystallite size was calculated using following formula:

Percent change in average crystallite size=[(G t-G c)/G c] × 100

Where, G c and G t are the average crystallite size of control and treated powder samples respectively.

Differential scanning calorimetry (DSC): The control and treated 1,2,3-trimethoxybenzene samples were analysed using a Pyris-6 Perkin Elmer DSC at a heating rate of 10ºC/min under air atmosphere, and the air was flushed at a flow rate of 5 mL/min. Predetermined amount of sample was kept in an aluminium pan and closed with a lid. A blank aluminium pan was used as a reference. The percentage change in latent heat of fusion was calculated using following equations:

Where, ΔH Control and ΔH Treated are the latent heat of fusion of control and treated samples, respectively.

Thermogravimetric analysis-Differential thermal analysis (TGA-DTA): The thermal stability of control and treated 1,2,3-trimethoxybenzene were analysed by using Mettler Toledo simultaneous TGA and Differential thermal analyser (DTA). The samples were heated from room temperature to 400ºC using a heating rate of 5ºC/min under air atmosphere.

FT-IR spectroscopy: The FT-IR spectra were recorded on Shimadzu's Fourier transform infrared spectrometer (Japan) with the frequency range of 4000-500 cm⁻¹. The analysis was accomplished to evaluate the effect of biofield treatment at an atomic level like dipole moment, force constant and bond strength in chemical structure [ 29]. The treated sample was divided into two parts T1 and T2 for FT-IR analysis.

UV-Vis spectroscopic analysis: UV spectra of the control and treated 1,2,3-trimethoxybenzene samples were acquired on Shimadzu UV-2400 PC series spectrophotometer with 1 cm quartz cell and a slit width of 2.0 nm. was used as a solvent and the analysis was carried out using wavelength in the range of 200-400 nm. The UV spectra were analysed to determine the effect of biofield treatment on the energy gap of highest occupied molecular orbital and lowest unoccupied molecular orbital (HOMO-LUMO gap) [ 29]. The treated sample was divided in two parts T1 and T2 for the analysis.

Results and Discussions
X-ray diffraction
The XRD was used to investigate the crystalline nature of control and treated 1,2,3-trimethoxybenzene sample. The XRD diffractogram of control and treated 1,2,3-trimethoxybenzene are presented in Figure 1. XRD diffractogram of control 1,2,3-trimethoxybenzene showed intense crystalline peaks at 2θ equal to 13.05º, 13.29º, 13.54º, 19.54º, 21.67º, 22.75º, 25.55º, 25.77º, 26.78º and 27.20º. Whereas, the treated 1,2,3-trimethoxybenzene also showed XRD peaks at 2θ equal to 13.50º, 13.68º, 19.24º, 22.99º, 26.03º, 27.09º and 27.31º. The comparative evaluation of the XRD diffractograms showed the decrease in of XRD peaks of treated samples with respect to the control. It is assumed that biofield energy treatment might disturb the longrange pattern of the 1,2,3-trimethoxybenzene molecules that led to a reduction in crystallinity of the sample.

The crystallite size of control and treated 1,2,3-trimethoxybenzene was computed using Scherrer formula, and data are depicted in Figure 2. The crystallite size is known as a group of molecules or atoms having orientation in the same plane. It was reported that crystallite size directly influences the materials properties, and it is one of the crystallographic parameters linked with the formation of dislocations and point defects in a crystal structure [ 30]. The crystallite size of control 1,2,3- trimethoxybenzene was 67.23 nm, and it was substantially increased up to 98.13 nm in the treated sample. The result indicated 45.96% increase in the crystallite size of treated compound as compared to the control sample. Pang and Bao reported that due to synthesis temperature and ripening on hydroxyapatite causes an increase in crystallite size [ 31]. Rey et al. [ 32] and Drouet et al. [ 33] reported an increase in crystal size with increase in temperature and pH. Hence, it is presumed here that biofield treatment might provide thermal energy to the treated 1,2,3-trimethoxybenzene atoms or molecules that lead to a reduction in dislocation density and increase in crystallite size as compared to the control. Carballo et al. reported that the rate of reaction can be significantly improved by an increase in crystallite size [ 34]. Thus, it is assumed that the increased crystallite size of treated 1,2,3-trimethoxybenzene might accelerate its reaction rate and percentage reaction yield during the synthesis of compounds. Additionally, the increased crystallite size can be correlated with increase in particle size and hence decrease solubility [ 35]. Hence, it is assumed that this might increase the volatilization leading to faster degradation of the treated sample as compared to control.
Thermal analysis
DSC study: DSC was used to investigate the latent heat of fusion and melting nature of the control and treated samples. DSC thermogram of control and treated 1,2,3-trimethoxybenzene are presented in Figure 3. The DSC thermogram of control 1,2,3-trimethoxybenzene showed a sharp endothermic inflexion at 46.58ºC that was due to melting temperature of the sample. However, the treated 1,2,3-trimethoxybenzene showed an endothermic peak at 45.93ºC. This indicated the decrease in melting temperature of the treated sample with respect to the control. It was reported that if the molecules contributing to a lattice are rigid, compact and symmetrical they tend to maximize the intermolecular interactions. Thus, a compound with less compact molecular arrangement has a low melting temperature than compactly arranged compound i.e., more energy is needed to separate the molecules [ 36]. Hence, it is assumed that biofield treated sample might have a less compact arrangement that lead to the decrease in melting temperature.

The latent heat of fusion was computed from the DSC thermogram and data are presented in Table 1. The control compound showed a latent heat of fusion of 104.28 J/g and it was increased significantly to 171.21 J/g in the treated sample. The results indicated a significant increase in latent heat of fusion by 64.18% as compared to the control sample. The latent heat of fusion is considered as the energy required to overcome the intermolecular force exist between atoms or molecules during a phase change from solid to liquid. Thus, it is assumed that biofield energy treatment has possibly altered the intermolecular force between the 1,2,3-trimethoxybenzene molecules that led to substantial increase in latent heat of fusion. It was reported that benzene compounds have a high density as compared to alkanes and fatty acids. Moreover, these compounds form the solid solutions with the narrow gap between the solidus (temperature below which a substance is completely solid) and liquidus (temperature above which material is completely liquid) [ 37]. Thus, it allows obtaining required phase change material with desired melting temperature. Hence, stable melting temperature and high latent heat of fusion may confer better phase change nature to biofield energy treated 1,2,3-trimethoxybenzene.

Table 1: Thermal analysis data of control and treated 1,2,3-trimethoxybenzene. Tmax: Maximum thermal decomposition temperature.

TGA study: TGA analysis was used to investigate the thermal stability of control and treated 1,2,3- trimethoxybenzene samples. TGA thermogram of control and treated sample are depicted in Figure 4. The TGA thermogram of control 1,2,3-trimethoxybenzene sample showed onset thermal degradation at around 137ºC and it terminated at 178ºC. During this thermal step, the control sample lost 53.93% of the initial weight. Nevertheless, the treated sample started the onset of degradation at 134ºC, and the thermal degradation stopped at 176ºC. The treated sample lost around 57.04% of its weight during this process. Hence, rapid thermal degradation was found in treated sample indicating the low thermal stability of the sample as compared to the control.

DTA thermogram of control and treated 1,2,3-trimethoxybenzene are presented in Figure 4. The DTA thermogram of control 1,2,3-trimethoxybenzene showed an endothermic peak at 164.95ºC due to thermal decomposition of the sample. However, the treated sample showed a reduction in thermal decomposition temperature (161.46ºC) as compared to the control.

This was further affirmed by DTG analysis of the samples. The rate of maximum thermal degradation (T max) was recorded and data are reported in Table 1. The control sample showed a T max at 154.43ºC, and it was decreased up to 151.92ºC in the treated sample. Overall, the result showed that thermal stability of treated 1,2,3-trimethoxybenzene sample was decreased as compared to control. It is presumed that decrease in thermal stability might increase the volatilization of the treated sample. This may increase the vaporization and degradation of the treated sample in the environment as compared to control sample.
FT-IR spectroscopy
FT-IR spectra of control and treated 1,2,3-trimethoxybenzene samples are presented in Figure 5. The FT-IR spectrum of control and treated samples (T1 and T2) showed C-H aromatic stretching at 3099 cm⁻¹. Vibration peaks for methyl group stretching were observed at 2835 cm⁻¹ in control and T2 sample; whereas in T1 sample it was evidenced at 2837 cm⁻¹. The -C=C stretch was observed at 1595 cm⁻¹ in the control and treated samples. The absorption peak in the region of 1105-1255 cm⁻¹ were due to C-O stretch in the control 1,2,3-trimethoxybenzene sample. The T1 and T2 samples showed C-O stretching peak from 1111-1255 cm⁻¹ and 1174-1255 cm⁻¹, respectively. The C-H asymmetric bending peaks were observed at 1437-1477 cm⁻¹ in control and T1 samples. Whereas, the T2 sample showed these bending peak in the region of 1437-1473 cm⁻¹. The C-H out of plane deformation peaks were observed in the region of 740-779 cm⁻¹ in the control and T1 sample. However, in case of T2 sample the C-H out of plane bending vibrations were noticed at 738-779 cm⁻¹. Overall, the result showed an increase in frequency of the C-O bond 1105→1174 cm⁻¹ in T2 sample as compared to the control sample. It was previously suggested that increase in the frequency of any bond causes a possible enhancement in force constant of the respective bond [ 29]. Hence, it is assumed that biofield energy treatment might altered the dipole moment or force constant of the C-O bond in treated 1,2,3-trimethoxybenzene sample as compared to the control sample.
UV-visible spectroscopy
UV spectra of control and treated 1,2,3-trimethoxybenzene are presented in Figure 6. The UV spectrum of control 1,2,3-trimethoxybenzene showed absorption peaks at 267 and 207 nm. The treated 1,2,3-trimethoxybenzene (T1) showed absorption peaks at 266 and 206 nm. Whereas the treated (T2) 1,2,3-trimethoxybenzene showed absorption peaks at 267 and 205 nm. The UV spectra of the treated 1,2,3-trimethoxybenzene showed no change in absorption peaks as compared to the control. It is assumed that biofield energy treatment may not affect the energy gap of highest occupied molecular orbital and lowest unoccupied molecular orbital (HOMO-LUMO gap).

Though this was the first attempt to investigate the impact of biofield energy treatment on physicochemical properties of 1,2,3- trimethoxybenzene. However, future research will be conducted to elucidate the exact mechanism of biofield energy effect on physical, structural properties of the compound. Sophisticated analytical techniques such as NMR, GC-MS, and TGA-FTIR will be used to get further detailed insights about the structural/thermal changes in the biofield treated 1,2,3- trimethoxybenzene.
Conclusions
In summary, the XRD studies revealed the significant increase in crystallite size of treated 1,2,3-trimethoxybenzene as compared to the control. It is hypothesized that the biofield treatment might reduce the dislocation that lead to the increase in crystallite size of the treated 1,2,3-trimethoxybenzene. DSC studies showed a substantial increase in latent heat of fusion of the treated sample by 64.18% as compared to the control sample. It was speculated that biofield energy might altered the intermolecular forces between the treated 1,2,3-trimethoxybenzene that leads to significant increase in latent heat of fusion. TGA analysis showed a decrease in T max of treated sample as compared to the control sample. It showed the decrease in thermal stability of the treated sample as compared to the control. FT-IR spectroscopic analysis showed an alteration in C-O bond of the treated 1,2,3-trimethoxybenzene that might be due to changes in force constant or dipole moment. Overall, the result showed an alteration in physical, thermal and spectral properties of the treated 1,2,3-trimethoxybenzene. It is assumed that increased crystallite size and low thermal stability might improve the volatilization and fast degradation of the biofield treated sample as compared to the control sample.
Acknowledgements
The authors would like to thank all the laboratory staff of MGV Pharmacy College, Nashik for their assistance during the various instrument characterizations. The authors would also like to thank Trivedi Science, Trivedi Master Wellness and Trivedi Testimonials for their support during the work.

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11. Dabhade VV, Tallapragada RR, Trivedi MK (2009) Effect of external energy on atomic, crystalline and powder characteristics of antimony and bismuth powders. Bull Mater Sci 32: 471-479.

12. Trivedi MK, Nayak G, Patil S, Tallapragada RM, Latiyal O (2015) Studies of the atomic and crystalline characteristics of ceramic oxide nano powders after bio field treatment. Ind Eng Manage 4: 161.

13. Trivedi MK, Patil S, Tallapragada RM (2013) Effect of biofield treatment on the physical and thermal characteristics of vanadium pentoxide powder. J Material Sci Eng S11: 001.

14. Trivedi MK, Tallapragada RM, Branton A, Trivedi A, Nayak G, et al. (2015) Biofield Treatment: A potential strategy for modification of physical and thermal properties of indole. J Environ Anal Chem 2: 152.

15. Trivedi MK, Patil S, Mishra RK, Jana S (2015) Structural and physical properties of biofield treated thymol and menthol. J Mol Pharm Org Process Res 3: 127.

16. Trivedi MK, Nayak G, Patil S, Tallapragada RM, Jana S, et al. (2015) Bio-field treatment: An effective strategy to improve the quality of beef extract and meat infusion powder. J Nutr Food Sci 5: 389.

17. Trivedi MK, Patil S, Mishra RK, Jana S (2015) Thermal and physical properties of biofield treated bile salt and proteose peptone. J Anal Bioanal Tech 6: 256.

18. Barnes PM, Powell-Griner E, McFann K, Nahin RL (2004) Complementary and alternative medicine use among adults: United States, 2002. Adv Data 343: 1-19.

19. Prakash S, Chowdhury AR, Gupta A (2015) Monitoring the human health by measuring the biofield "aura": An overview. IJAER 10: 27637-27641.

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26. Trivedi MK, Patil S, Shettigar H, Gangwar M, Jana S (2015) An effect of biofield treatment on multidrug-resistant Burkholderia cepacia: A multihost pathogen. J Trop Dis 3: 167.

27. Patil SA, Nayak GB, Barve SS, Tembe RP, Khan RR (2012) Impact of biofield treatment on growth and anatomical characteristics of Pogostemon cablin (Benth.). Biotechnology 11: 154-162.

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37. Kenisarin MM (2014) Thermophysical properties of some organic phase change materials for latent heat storage. A review. Sol Energy 107: 553-575.

# data[].attributes.attachment_link.keywords[]
x-ray diffraction; thermal analysis; fourier transform
infrared (ft-ir) spectroscopy; ultra violet-visible spectroscopy (uvvis)
analysis

# data[].attributes.attachment_link.title
Physical, Thermal and Spectral Properties of Biofield Treated 1,2,3-Trimethoxybenzene

# data[].attributes.attachment_link.description
Mahendra Kumar Trivedi1 , Rama Mohan Tallapragada1 , Alice Branton1 , Dahryn Trivedi1 , Gopal Nayak1 , Rakesh Kumar Mishra2 and Snehasis Jana2 * 1 Trivedi Global Inc., 10624 S Eastern Avenue Suite A-969, Henderson, NV 89052, USA 2 Trivedi Science Research Laboratory Pvt.

# data[].attributes.headline
	
	
	
	
	An Impact of Biofield on Spectral Properties of  p-Nitroaniline
	

# data[].attributes.subject
	
	
	
	
	An Impact of Biofield on Spectral Properties of  p-Nitroaniline
	

# data[].attributes.body
Present study investigates an impact of Biofield Treatment on Spectroscopic and Physicochemical Properties of p-Nitroaniline. Read this study to know more.

# data[].attributes.headline
	
	
	
	
	Effect of Biofield on Spectral Properties of  p-Nitroaniline
	

# data[].attributes.subject
	
	
	
	
	Effect of Biofield on Spectral Properties of  p-Nitroaniline
	

# data[].attributes.body
The current study was attempted to investigate the effect of Biofield Treatment on Spectroscopic and Physicochemical Properties of p-Nitroaniline.

# data[].attributes.headline
	
	
	
	
	An impact of Biofield Treatment on Para nitroaniline – Read more
	

# data[].attributes.subject
	
	
	
	
	An impact of Biofield Treatment on Para nitroaniline – Read more
	

# data[].attributes.body
Present research done by Mahendra Kumar Trivedi - Aim of present study is to investigate the Biofield Treatment on Spectroscopic and Physicochemical Properties of p-Nitroaniline.

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	Biofield | Spectral Properties of p-Nitroaniline – Aftermath
	

# data[].attributes.subject
	
	
	
	
	Biofield | Spectral Properties of p-Nitroaniline – Aftermath
	

# data[].attributes.body
Present study was attempted to investigate the influence of Mahendra Kumar Trivedi biofield treatment on p -nitroaniline. The study was performed in two groups i.e., control and treatment.

# data[].attributes.headline
	
	
	
	
	Impact of Biofield Treatment on p-Nitroaniline Properties
	

# data[].attributes.subject
	
	
	
	
	Impact of Biofield Treatment on p-Nitroaniline Properties
	

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The present study was attempted to investigate the influence of biofield treatment on p -nitroaniline. The study was performed in two groups i.e., control and treatment.

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	Properties of p-Nitroaniline after Biofield Treatment
	

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	Properties of p-Nitroaniline after Biofield Treatment
	

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Para nitroaniline is an organic compound, used as an intermediate in the synthesis of pharmaceuticals drugs, gasoline and dyes. Read this research of Mahendra Kumar Trivedi to know the impact of Biofield on P-nitroaniline.

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	Potential Impact of Biofield Treatment on Human Brain Tumor Cells
	

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	Potential Impact of Biofield Treatment on Human Brain Tumor Cells
	

# data[].attributes.body
The human brain tumor, GBM cultured cells were divided into two groups, GBM control & treatment. Similarly, human normal brain cultured cells (non-GBM) were taken and divided into two groups viz. non- GBM control and non-GBM treatment. Read the complete study to understand it in detail.

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Trivedi et al., J Integr Oncol 2015, 4:3

http://dx.doi.org/10.4172/2329-6771.1000141

ISSN: 2329-6771 JIO, an open access journal Volume 4 * Issue 3 * 1000141

Keywords: Glial cell; Glioblastoma; Brain tumor; Bioeld treatment;

Time-lapse video microscopy

Brain tumors are typically very heterogeneous, aggressive

neoplasms at the cellular level which aects both children and adults

[1]. Statistics based on cancer research institute explore that 1 in 161

individuals born today with brain cancer at dierent point of life. In the

U.S., 22,850 men and women are diagnosed with brain cancer every year,

and 15,320 deaths are caused by this disease [2]. As per World health

organization classication, glioblastoma (GBM) is also known as grade

IV astrocytoma [3]. GBM is one of the most malignant form of human

brain tumor. e mean survival time for GBM patients is approximately

12 months [4]. Time-lapse video microscopy is a technique that aids to

assess cellular behavior in real time. is technique is used to collect

a two dimensional image data at dierent time intervals. en, these

data are converted to make a movie. is unique technique is used

in various elds of cancer and stem cell biology for assessment of

cell translation, division, and death [5,6]. Presently, several strategies

are available for the treatment of GBM such as surgical techniques,

radiotherapy, chemotherapy and electrochemotherapy [7]. Apart

from commonly used chemotherapeutic agents (such as nitrosoureas

derivatives, platinum based drugs, and taxol) and gene therapy, as

a novel therapeutic modality frequently being used in cancer [8].

However, chemotherapy suers several major drawbacks such as all

tumors are not responsive to chemotherapeutic agents to some extent,

incidence of bone marrow cells damage, amenorrhea, alopecia, sexual

dysfunction and adversely aect the quality of life of patients [9].

Malignant brain tumors like GBM are very dicult to treat

now a days. e diculties to treat against GBM are due to lack of

proper preventive strategies, and unavailability of practical method

for screening [10]. erefore, new, more eective and better tolerated

anti-tumor drugs or some alternative treatment strategy are needed.

Based on the above lacunas an alternative way which may be useful to

kill or eradicates the proliferative tumorous cells and simultaneously

defense the normal brain glial cells. Bioeld treatment is an alternative

approach which may be useful to improve these unlled spaces

associated with cancer patients. e human bioeld is the energetic

matrix that surrounds the human [11]. It directly links with the cellular

activity that allows the DNA to communicate faster than light and

maintain intelligence in the organisms [12].According to universal

principles of Maxwell's equations and principle of reciprocity denes

electromagnetic connections related to human bioeld [13]. us, a

human has ability to harness the energy from environment/Universe

and can transmit into any object (living or non-living) around the

Globe. e object(s) always receive the energy and responded into

*Corresponding author: Dr. Snehasis Jana, Trivedi Science Research

Laboratory Pvt. Ltd., Hall-A, Chinar Mega Mall, Chinar Fortune City,

Hoshangabad Rd., Bhopal- 462026, Madhya Pradesh, India, Tel: +91-755-

Received July 07, 2015; Accepted July 21, 2015; Published July 28, 2015

Citation: Trivedi MK, Patil S, Shettigar H, Mondal SC, Jana S (2015) The Potential

Impact of Bioeld Treatment on Human Brain Tumor Cells: A Time-Lapse Video

Microscopy. J Integr Oncol 4: 141. doi:10.4172/2329-6771.1000141

Copyright: © 2015 Trivedi MK, et al. This is an open-access article distributed

under the terms of the Creative Commons Attribution License, which permits

unrestricted use, distribution, and reproduction in any medium, provided the

original author and source are credited.

Study background: Glioblastoma (GBM) is the most common subtype of primary brain tumor in adults. The

aim was to evaluate the impact of bioeld treatment potential on human GBM and non-GBM brain cells using two

time-lapse video microscopy technique.

Methods: The human brain tumor, GBM cultured cells were divided into two groups viz. GBM control and GBM

treatment. Similarly, human normal brain cultured cells (non-GBM) were taken and divided into two groups viz. non-

GBM control and non-GBM treatment. The GBM and non-GBM treatment groups were given Mr. Trivedi's bioeld

treatment for the assessment of its potential. Two time-lapse (10 hours prior; 10 hours after) video microscopy

experiment was performed on tumor and non-tumor brain cells in six replicate (n=6). For each microscopic eld, the

total cell number was counted and each cell was tracked over the 20 hours period. The potential impact of bioeld

treatment was assessed by comparing cell death rate in both GBM and non-GBM cells before and after bioeld

treatment.

Results: GBM control cells showed a basal level of cell death 10 hours prior and 10 hours after the bioeld

treatment, and the rate remained unchanged over the 20 hours period, while in treatment group of GBM, cell death

rate was exponentially increased (41%) after bioeld treatment as compared to control. The treated non-GBM

cultured cells showed a signicant reduction (64%) of cell death rate i.e. protective effects as compared to non-GBM

control.

Conclusion: Altogether, data suggests that bioeld treatment has signicantly increased the cell death rate of

treated GBM cells and simultaneously boost the viability of normal brain cells. Therefore, bioeld treatment could be

a suitable alternate treatment strategy for cancer patients in near future.

The Potential Impact of Biofield Treatment on Human Brain Tumor Cells:

A Time-Lapse Video Microscopy

Mahendra Kumar Trivedi1, Shrikant Patil1, Harish Shettigar1, Sambhu Charan Mondal2 and Snehasis Jana2*

1Trivedi Global Inc., 10624 S Eastern Avenue Suite A-969, Henderson, NV 89052, USA

2Trivedi Science Research Laboratory Pvt. Ltd., Hall-A, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Rd., Bhopal- 462026 Madhya Pradesh, India

Citation: Trivedi MK, Patil S, Shettigar H, Mondal SC, Jana S (2015) The Potential Impact of Bioeld Treatment on Human Brain Tumor Cells: A Time-

Lapse Video Microscopy. J Integr Oncol 4: 141. doi:10.4172/2329-6771.1000141

ISSN: 2329-6771 JIO, an open access journal Volume 4 * Issue 3 * 1000141

useful way that is called bioeld energy. is process is known as bioeld

treatment. e bioeld can be monitored using electromyography,

electrocardiography and electroencephalogram [14]. Mr. Mahendra

Trivedi's unique bioeld treatment (e Trivedi Eect) has been

well known for altered characteristics features of microbes [15-17],

improved the overall productivity of crops [18,19], and also transform

the structural, physical and chemical properties of materials [20-23].

Exposure to bioeld energy caused an increase in medicinal property,

growth, and anatomical characteristics of ashwagandha [24].

On the basis of above facts and literature, present study was

undertaken to evaluate the impact of Mr. Trivedi's bioeld treatment

on human GBM brain tumor cells.

Human U87 glioblastoma cells were received from California

pacic medical center research institute, bioscience laboratory, San

Francisco, CA. e cultures were prepared and maintained as per the

protocols.

Study design and bioeld treatment strategy

e GBM cultured cells were divided into two groups viz. GBM

control and GBM treatment. Besides this, normal brain cultured cells

were also divided into two groups such as non-GBM control and

non-GBM treatment. Prior to experiment, each cell culture plate was

prepared with six replicates (n=6) of both GBM and non-GBM cells.

Each cell culture plate was grown side-by-side in sub-compartments of

one culture plate, so that both types of cells were exposed to treatment

and without treatment simultaneously. One set of culture plates (GBM

and non-GBM treatment) were handed over to Mr. Trivedi for bioeld

treatment under laboratory condition. Mr. Trivedi provided the

treatment through his energy transmission process to the culture plates

in front of the time-lapse microscope to deliver bioeld treatment from

outside a plexiglass environmental chamber attached to the microscope

without touching them. Another set was considered as control

experiment in which no treatment was delivered. Aer treatment, all

the culture plates were analyzed for assessment of bioeld treatment

potential. In brief, during the experiment involving bioeld treatment,

Mr. Trivedi was escorted to the laboratory and seated a short distance

(approximately 20 cm) from the time-lapse microscope (Figure 1).

During the control experiment, the cells were handled identically but Mr.

Trivedi did not visit the laboratory. A laboratory technician placed the

cell culture plates inside of an environmental chamber for examination

by time-lapse microscopy without knowledge of the eventual treatment

condition for the samples. e following day, laboratory technician has

converted the acquired images into Quicktime movies and transferred

the movies to a database using blinding codes for analysis.

Two time-lapse video microscopy technique

Two time-lapse video microscopy experiments were followed in

human brain tumor GBM cells and normal brain cells for 20 hours time

cycle. Microscopic images were acquired in every 5 minutes interval,

from 10 hours prior and 10 hours following the treatment time i.e. 20

hours for each experiment, and compiled into time lapse videos. Figure

2 depicts the time schedule for two time-lapse video microscopy of cell

Criteria for analysis of cell count

For each microscopic eld, the total number of cells were counted

and each cell was tracked over the 20 hours period. Cells that entered

the microscopic eld aer the initial frame were neither included,

nor identied as dead at the start of the video. Cell death, divisions

and emigrations (cells migrating out of the microscopic eld) were

counted for varying numbers of cells and count was made every single

hour. Aer that, all the data were collected and entered into excel

spreadsheets, the blinding codes were revealed and the results were

sorted according to experimental group for analysis.

Since, brain tumors especially GBM are the most critical medical

problem aecting major part of population, physician suggests

chemoprevention along with radiation strategies to reduce the

incidence and mortality rate. However, there are scientic evidence and

large number of in vitro studies already reported for bioeld treatment

and its eect in cancer cells [26,27]. Previous studies indicated that

bioeld energy showed an inhibitory eect on metastasis and immune

responses in cancer cell models [11,26,28].

An exponential growth model was applied to the study data derived

through time-lapse video microscopic technique which aims to take

into account potential inuence on cell death rates due to change the

number of cells in each microscopic eld throughout the observation

period. Death counts during 10 hours period of observation were

converted to rates per cell by the following formula:

Death rate = ln(N(t-1)) - ln(N(t-1) - d(t))

Where, N(t-1) is the number of cells at the start of the time period

and d(t) is the number of deaths during the time period. ese estimates

Figure 1: Schematic diagram represents the physical arrangement of bioeld

treatment session from a short distance (approximately 20 cm), outside a

plexiglass environmental chamber attached to the microscope.

Figure 2: Schematic diagram represents the schedule for time-lapse video

microscopy of cell cultures, A) treatment and B) control.

Citation: Trivedi MK, Patil S, Shettigar H, Mondal SC, Jana S (2015) The Potential Impact of Bioeld Treatment on Human Brain Tumor Cells: A Time-

Lapse Video Microscopy. J Integr Oncol 4: 141. doi:10.4172/2329-6771.1000141

ISSN: 2329-6771 JIO, an open access journal Volume 4 * Issue 3 * 1000141

very popular and scientically studied [31,32]. erefore, Mr. Trivedi's

bioeld treatment could be an eective (with no existing side eects),

cost eective (no drugs were used) and alternate approach for cancer

chemotherapy. Research on bioeld treatment and its impact on cancer

growth has been continuously studied by researchers, which might

works as alternate and complementary medicine to prolong the life of

cancerous patients along with quality life.

Overall, the study data indicates that bioeld treatment has

signicantly increased (41%) the death rate of GBM brain tumor

cells as compared to untreated GBM cells. Besides this, non-GBM

treatment cultured cells showed a signicant reduction of cell death

rate (64%) as compared to normal brain cells (Figure 5). Based on the

obtained results, it is expected that bioeld treatment could be novel,

cost eective and an alternative advanced strategy towards brain tumor

In conclusion, the study results suggest that the bioeld treatment

has signicantly increased (41%) the cell death rate of GBM treatment

brain tumor cells, as compared to GBM control cells. In addition,

bioeld treatment also showed a signicant reduction of cell death

rate (64%) in non-GBM treated culture cells i.e. protective eect as

compared to non-GBM brain cells. Based on the results, the inexpensive

are based on an assumption that counts are dependent on the number

e potential impact of bioeld treatment on GBM brain culture

cells was assessed by comparing cell death rates before and aer

treatment. In non-GBM (control) group, values for cell division

were not signicantly analyzed due to very low cell divisions rate, as

the majority of the cell counts being zero throughout the 20 hours

observation period. is lack of cell division under control conditions

for the normal brain cells indicated that the culture conditions were

not sucient to keep the normal cells viable throughout the extended

time in culture. is is oen may be the case with cultures of normal

cells, whereas cancerous cells typically survive in culture more readily.

Comparing the total number of cell deaths over the 10 hours prior

and 10 hours following the treatment time (T = 0) for the four groups of

cells and dividing these values by the initial cell counts for each group

gives a rough estimation of the potential eect of treatment. Analysis

using the exponential growth model indicates that the cell death rate

in GBM treatment cultured cells increased aer bioeld treatment

however, no change in cell death rate was observed in GBM control

cultured cells. Moreover, the non-GBM treatment cultured cells has

appeared to be protected from a baseline increase in cell death rate

observed in the untreated non-GBM control cultured cells (Figure 3).

e increase in cell death rate as observed in the untreated non-GBM

control cultured cells was consistent while the cancer cell viability was

Pre-treatment values were subtracted from post-treatment values

to evaluate the relative change in cell death rate aer treatment time (T

= 0) and referred as delta (δ). e δ values (as measured from before

to aer treatment per initial cell) due to bioeld treatment relative

to controls for GBM cells and non-GBM cells are shown in Figure

4. e advantage of bioeld treatment is that they are inexpensive as

compared to other types of cancer therapies. According to a recent

report regarding bioeld treatment later on, it was approved by the

German equivalent of the FDA. It was emphasized that cancer patients

have experienced healing with bioeld treatment. Nowadays, many

scientists and cutting edge practitioners believed that the secrets

of regeneration and healing lie not only on costly medical drugs or

expensive medical treatments, but also in the body's own Quantum

Energy Bioeld (QEB) [30].

Current cancer therapies have certain limitations which include

serious side eects like enormous toxicity, altered immune system and

high treatment cost. Many ancient bioeld therapies for cancer are

practiced around the world, among then Qigong therapy for cancer is

Control Treatment Control Treatment

Figure 3: Comparison of cell death rate before and after bioeld treatment.

Change in cell death rate (δ)

Figure 4: The change in cell death rate (δ) of both glioblastoma brain tumor

cells and normal brain glial cells after treatment time (T = 0) due to bioeld

treatment relative to controls.

Figure 5: Percent change of cell death after 20 hours treatment period with

# data[].attributes.attachment_link.title
The Potential Impact of Biofield Treatment on Human Brain Tumor Cells: A Time-Lapse Video Microscopy - PdfSR.com

# data[].attributes.attachment_link.description
Study background: Glioblastoma (GBM) is the most common subtype of primary brain tumor in adults. The aim was to evaluate the impact of biofield treatment potential on human GBM and non-GBM brain cells using two time-lapse video microscopy technique. Methods: The human brain tumor, GBM cultured cells were divided into two groups viz.

# data[].attributes.headline
	
	
	
	
	Effect of Biofield Treatment on Human Brain Tumor Cells
	

# data[].attributes.subject
	
	
	
	
	Effect of Biofield Treatment on Human Brain Tumor Cells
	

# data[].attributes.body
The study to check the potential impact of Biofield treatment on human GBM and non-GBM brain cells using two time-lapse video microscopy technique.

# data[].attributes.attachment_link.title
"The Potential Impact of Biofield Treatment on Human Brain Tumor Cells: A Time-Lapse Video Microscopy" by Mahendra Kumar Trivedi

# data[].attributes.attachment_link.description
Study background: Glioblastoma (GBM) is the most common subtype of primary brain tumor in adults. The aim was to evaluate the impact of biofield treatment potential on human GBM and non-GBM brain cells using two time-lapse video microscopy technique.Methods: The human brain tumor, GBM cultured cells were divided into two groups viz.

# data[].attributes.headline
	
	
	
	
	View Publication on Human Brain Tumor Cells | Mahendra Trivedi
	

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	View Publication on Human Brain Tumor Cells | Mahendra Trivedi
	

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View Mahendra Kumar Trivedi biofield treatment potential impact on human GBM and non-GBM brain cells using two time-lapse video microscopy technique.

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		Biofield Treatment Impact on Human Brain Tumor Cells
	

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		Biofield Treatment Impact on Human Brain Tumor Cells
	

# data[].attributes.body
Read study of Mahendra Kumar Trivedi on human GBM and non-GBM brain cells using two time-lapse video microscopy technique after impact of biofield treatment.

# data[].attributes.attachment_link.title
The Potential Impact of Biofield Treatment on Human Brain Tumor Cells: A Time-Lapse Video Microscopy

# data[].attributes.attachment_link.description
Study background: Glioblastoma (GBM) is the most common subtype of primary brain tumor in adults. The aim was to evaluate the impact of biofield treatment potential on human GBM and non-GBM brain cells using two time-lapse video microscopy technique.

# data[].attributes.headline
	
	
	
	
	An Impact of Biofield Treatment on Glioblastoma Brain Cells
	

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	An Impact of Biofield Treatment on Glioblastoma Brain Cells
	

# data[].attributes.body
Glioblastoma is the most common subtype of primary brain tumor in adults. The aim was to evaluate the impact of biofield treatment potential on human GBM and non-GBM brain cells.

# data[].attributes.headline
	
	
	
	
	Open Access Journal of Integrative Oncology | Omicsgroup
	

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	Open Access Journal of Integrative Oncology | Omicsgroup
	

# data[].attributes.body
The aim was to evaluate the impact of biofield treatment potential on human GBM and non-GBM brain cells using two time-lapse video microscopy technique.

# data[].attributes.attachment_link.readable_text
Glial cell; Glioblastoma; Brain tumor; Biofield treatment; Time-lapse video microscopy

Brain tumors are typically very heterogeneous, aggressive neoplasms at the cellular level which affects both children and adults [ 1]. Statistics based on cancer research institute explore that 1 in 161 individuals born today with brain cancer at different point of life. In the U.S., 22,850 men and women are diagnosed with brain cancer every year, and 15,320 deaths are caused by this disease [ 2]. As per World health organization classification, glioblastoma (GBM) is also known as grade IV astrocytoma [ 3]. GBM is one of the most malignant form of human brain tumor. The mean survival time for GBM patients is approximately 12 months [ 4]. Time-lapse video microscopy is a technique that aids to assess cellular behavior in real time. This technique is used to collect a two dimensional image data at different time intervals. Then, these data are converted to make a movie. This unique technique is used in various fields of cancer and stem cell biology for assessment of cell translation, division, and death [ 5, 6]. Presently, several strategies are available for the treatment of GBM such as surgical techniques, radiotherapy, chemotherapy and electrochemotherapy [ 7]. Apart from commonly used chemotherapeutic agents (such as nitrosoureas derivatives, platinum based drugs, and taxol) and gene therapy, as a novel therapeutic modality frequently being used in cancer [ 8]. However, chemotherapy suffers several major drawbacks such as all tumors are not responsive to chemotherapeutic agents to some extent, incidence of bone marrow cells damage, amenorrhea, alopecia, sexual dysfunction and adversely affect the quality of life of patients [ 9].

Malignant brain tumors like GBM are very difficult to treat now a days. The difficulties to treat against GBM are due to lack of proper preventive strategies, and unavailability of practical method for screening [ 10]. Therefore, new, more effective and better tolerated anti-tumor drugs or some alternative treatment strategy are needed. Based on the above lacunas an alternative way which may be useful to kill or eradicates the proliferative tumorous cells and simultaneously defense the normal brain glial cells. Biofield treatment is an alternative approach which may be useful to improve these unfilled spaces associated with cancer patients. The human biofield is the energetic matrix that surrounds the human [ 11]. It directly links with the cellular activity that allows the DNA to communicate faster than light and maintain intelligence in the organisms [ 12]. According to universal principles of Maxwell's equations and principle of reciprocity defines electromagnetic connections related to human biofield [ 13]. Thus, a human has ability to harness the energy from environment/Universe and can transmit into any object (living or non-living) around the Globe. The object(s) always receive the energy and responded into useful way that is called biofield energy. This process is known as biofield treatment. The biofield can be monitored using electromyography, electrocardiography and electroencephalogram [ 14]. Mr. Mahendra Trivedi's unique biofield treatment (The Trivedi Effect) has been well known for altered characteristics features of microbes [ 15- 17], improved the overall productivity of crops [ 18, 19], and also transform the structural, physical and chemical properties of materials [ 20- 23]. Exposure to biofield energy caused an increase in medicinal property, growth, and anatomical characteristics of ashwagandha [ 24].

On the basis of above facts and literature, present study was undertaken to evaluate the impact of Mr. Trivedi's biofield treatment on human GBM brain tumor cells.

Human U87 glioblastoma cells were received from California pacific medical center research institute, bioscience laboratory, San Francisco, CA. The cultures were prepared and maintained as per the protocols.

Study design and biofield treatment strategy

The GBM cultured cells were divided into two groups viz. GBM control and GBM treatment. Besides this, normal brain cultured cells were also divided into two groups such as non-GBM control and non-GBM treatment. Prior to experiment, each cell culture plate was prepared with six replicates (n=6) of both GBM and non-GBM cells. Each cell culture plate was grown side-by-side in sub-compartments of one culture plate, so that both types of cells were exposed to treatment and without treatment simultaneously. One set of culture plates (GBM and non-GBM treatment) were handed over to Mr. Trivedi for biofield treatment under laboratory condition. Mr. Trivedi provided the treatment through his energy transmission process to the culture plates in front of the time-lapse microscope to deliver biofield treatment from outside a plexiglass environmental chamber attached to the microscope without touching them. Another set was considered as control experiment in which no treatment was delivered. After treatment, all the culture plates were analyzed for assessment of biofield treatment potential. In brief, during the experiment involving biofield treatment, Mr. Trivedi was escorted to the laboratory and seated a short distance (approximately 20 cm) from the time-lapse microscope (Figure 1). During the control experiment, the cells were handled identically but Mr. Trivedi did not visit the laboratory. A laboratory technician placed the cell culture plates inside of an environmental chamber for examination by time-lapse microscopy without knowledge of the eventual treatment condition for the samples. The following day, laboratory technician has converted the acquired images into Quicktime movies and transferred the movies to a database using blinding codes for analysis.

Two time-lapse video microscopy technique

Two time-lapse video microscopy experiments were followed in human brain tumor GBM cells and normal brain cells for 20 hours time cycle. Microscopic images were acquired in every 5 minutes interval, from 10 hours prior and 10 hours following the treatment time i.e. 20 hours for each experiment, and compiled into time lapse videos. Figure 2 depicts the time schedule for two time-lapse video microscopy of cell cultures [ 25].

Criteria for analysis of cell count

For each microscopic field, the total number of cells were counted and each cell was tracked over the 20 hours period. Cells that entered the microscopic field after the initial frame were neither included, nor identified as dead at the start of the video. Cell death, divisions and emigrations (cells migrating out of the microscopic field) were counted for varying numbers of cells and count was made every single hour. After that, all the data were collected and entered into excel spreadsheets, the blinding codes were revealed and the results were sorted according to experimental group for analysis.

Results and Discussion

Since, brain tumors especially GBM are the most critical medical problem affecting major part of population, physician suggests chemoprevention along with radiation strategies to reduce the incidence and mortality rate. However, there are scientific evidence and large number of in vitro studies already reported for biofield treatment and its effect in cancer cells [ 26, 27]. Previous studies indicated that biofield energy showed an inhibitory effect on metastasis and immune responses in cancer cell models [ 11, 26, 28].

An exponential growth model was applied to the study data derived through time-lapse video microscopic technique which aims to take into account potential influence on cell death rates due to change the number of cells in each microscopic field throughout the observation period. Death counts during 10 hours period of observation were converted to rates per cell by the following formula:

Death rate = ln(N(t-1)) - ln(N(t-1) - d(t))

Where, N(t-1) is the number of cells at the start of the time period and d(t) is the number of deaths during the time period. These estimates are based on an assumption that counts are dependent on the number of cells present [ 6].

The potential impact of biofield treatment on GBM brain culture cells was assessed by comparing cell death rates before and after treatment. In non-GBM (control) group, values for cell division were not significantly analyzed due to very low cell divisions rate, as the majority of the cell counts being zero throughout the 20 hours observation period. This lack of cell division under control conditions for the normal brain cells indicated that the culture conditions were not sufficient to keep the normal cells viable throughout the extended time in culture. This is often may be the case with cultures of normal cells, whereas cancerous cells typically survive in culture more readily.

Comparing the total number of cell deaths over the 10 hours prior and 10 hours following the treatment time (T = 0) for the four groups of cells and dividing these values by the initial cell counts for each group gives a rough estimation of the potential effect of treatment. Analysis using the exponential growth model indicates that the cell death rate in GBM treatment cultured cells increased after biofield treatment however, no change in cell death rate was observed in GBM control cultured cells. Moreover, the non-GBM treatment cultured cells has appeared to be protected from a baseline increase in cell death rate observed in the untreated non-GBM control cultured cells (Figure 3). The increase in cell death rate as observed in the untreated non-GBM control cultured cells was consistent while the cancer cell viability was more robust [ 29].

Pre-treatment values were subtracted from post-treatment values to evaluate the relative change in cell death rate after treatment time (T = 0) and referred as delta (δ). The δ values (as measured from before to after treatment per initial cell) due to biofield treatment relative to controls for GBM cells and non-GBM cells are shown in Figure 4. The advantage of biofield treatment is that they are inexpensive as compared to other types of cancer therapies. According to a recent report regarding biofield treatment later on, it was approved by the German equivalent of the FDA. It was emphasized that cancer patients have experienced healing with biofield treatment. Nowadays, many scientists and cutting edge practitioners believed that the secrets of regeneration and healing lie not only on costly medical drugs or expensive medical treatments, but also in the body's own Quantum Energy Biofield (QEB) [ 30].

Current cancer therapies have certain limitations which include serious side effects like enormous toxicity, altered immune system and high treatment cost. Many ancient biofield therapies for cancer are practiced around the world, among then Qigong therapy for cancer is very popular and scientifically studied [ 31, 32]. Therefore, Mr. Trivedi's biofield treatment could be an effective (with no existing side effects), cost effective (no drugs were used) and alternate approach for cancer chemotherapy. Research on biofield treatment and its impact on cancer growth has been continuously studied by researchers, which might works as alternate and complementary medicine to prolong the life of cancerous patients along with quality life.

Overall, the study data indicates that biofield treatment has significantly increased (41%) the death rate of GBM brain tumor cells as compared to untreated GBM cells. Besides this, non-GBM treatment cultured cells showed a significant reduction of cell death rate (64%) as compared to normal brain cells (Figure 5). Based on the obtained results, it is expected that biofield treatment could be novel, cost effective and an alternative advanced strategy towards brain tumor patients.

In conclusion, the study results suggest that the biofield treatment has significantly increased (41%) the cell death rate of GBM treatment brain tumor cells, as compared to GBM control cells. In addition, biofield treatment also showed a significant reduction of cell death rate (64%) in non-GBM treated culture cells i.e. protective effect as compared to non-GBM brain cells. Based on the results, the inexpensive biofield treatment approach could be used in glioblastoma brain tumor patients in near future to improve the quality of life.

Trivedi science, Trivedi testimonials and Trivedi master wellness gratefully acknowledged to the whole team of the bioscience laboratories, 665, Third Street, San Francisco, CA for their support.

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2. http://www.cancerresearch.org/cancer-immunotherapy/impacting-all-cancers/brain-cancer#sthash.PGiM1Pzh.dpuf

3. Louis DN, Ohgaki H, Wiestler OD, Cavenee WK, Burger PC, et al. (2007) The 2007 WHO classification of tumours of the central nervous system. ActaNeuropathol 114: 97-109.

4. Hide T, Kuratsu J (2009) [Progress in the study of brain tumor stem cells as treatment targets]. Brain Nerve 61: 781-789.

5. Patel S, Pine S, Rameshwar P (2013) Time-Lapse video microscopy for assessment of self-renewal and division kinetics. Protocol Exchange.

6. Taft R, Moore D, Yount G (2005) Time-lapse analysis of potential cellular responsiveness to Johrei, a Japanese healing technique. BMC Complement Altern Med 5: 2.

7. Sersa G, Cemazar M, Rudolf Z (2003) Electrochemotherapy: Advantages and drawbacks in treatment of cancer patients. Cancer Therapy 1: 133-142.

8. Castro MG, Cowen R, Williamson IK, David A, Jimenez-Dalmaroni MJ, et al. (2003) Current and future strategies for the treatment of malignant brain tumors. PharmacolTher 98: 71-108.

9. Hall E, Cameron D, Waters R, Barrett-Lee P, Ellis P, et al. (2014) Comparison of patient reported quality of life and impact of treatment side effects experienced with a taxane-containing regimen and standard anthracycline based chemotherapy for early breast cancer: 6 year results from the UK TACT trial (CRUK/01/001). Eur J Cancer 50: 2375-2389.

10. Wen PY, Kesari S (2008) Malignantgliomas in adults. N Engl J Med 359: 492-507.

11. Running A (2015) Decreased Cortisol and Pain in Breast Cancer: Biofield Therapy Potential. Evid Based Complement Alternat Med 2015: 870640.

12. McTaggart L (2003) The Field. New York, Harper Perennial.

13. Maxwell J (1865) A dynamical theory of the electromagnetic field. Phil Trans R Soc (Lond.) 155: 459-512.

14. Movaffaghi Z, Farsi M (2009) Biofield therapies: biophysical basis and biological regulations? Complement TherClinPract 15: 35-37.

15. Trivedi MK, Patil S (2008) Impact of an external energy on Staphylococcus epidermis [ATCC-13518] in relation to antibiotic susceptibility and biochemical reactions-an experimental study. J Accord Integr Med 4: 230-235.

16. Trivedi MK, Patil S (2008) Impact of an external energy on Yersinia enterocolitica [ATCC-23715] in relation to antibiotic susceptibility and biochemical reactions: an experimental study. Internet J Alternat Med 6.

17. Trivedi M, Bhardwaj Y, Patil S, Shettigar H Bulbule A (2009) Impact of an external energy on Enterococcus faecalis [ATCC-51299] in relation to antibiotic susceptibility and biochemical reactions - An experimental study. J Accord Integr Med 5: 119-130

18. Shinde V, Sances F, Patil S, Spence A (2012) Impact of biofield treatment on growth and yield of lettuce and tomato. Aust J Basic andApplSci 6: 100-105.

19. Sances F, Flora E, Patil S, Spence A, Shinde V (2013) Impact of biofield treatment on ginseng and organic blueberry yield. Agrivita J AgricSci 35: 22-29.

20. Trivedi MK, Patil S, Tallapragada RM (2013) Effect of biofield treatment on the physical and thermal characteristics of silicon, tin and lead powders. J Material SciEng 2: 125.

21. Trivedi MK, Patil S, Tallapragada RM (2013) Effect of biofield treatment on the physical and thermal characteristics of vanadium pentoxide powder. J Material SciEng S11: 001.

22. Trivedi MK, Patil S, Tallapragada RM (2014) Atomic, crystalline and powder characteristics of treated zirconia and silica powders. J Material SciEng 3: 144.

23. Trivedi MK, Patil S, Tallapragada RM (2015) Effect of biofield treatment on the physical and thermal characteristics of aluminium powders. IndEng Manage 4: 151.

24. Altekar N, Nayak G (2015) Effect of biofield treatment on plant growth and adaptation. J Environ Health Sci 1: 1-9.

25. Muzzey D, van Oudenaarden A (2009) Quantitative time-lapse fluorescence microscopy in single cells. Annu Rev Cell DevBiol 25: 301-327.

26. Yount G, Patil S, Dave U, Alves-dos-Santos L, Gon K, et al. (2013) Evaluation of biofield treatment dose and distance in a model of cancer cell death. J Altern Complement Med 19: 124-127.

27. Chen KW (2008) Inhibitory effects of bio-energy therapies on cancer growth. World Sci Tech Modern Trad Chin Med 10: 144-152.

28. Gronowicz GA, Jhaveri A, Clarke LW, Aronow MS, Smith TH (2008) Therapeutic touch stimulates the proliferation of human cells in culture. J Altern Complement Med 14: 233-239.

29. McAllister SD, Chan C, Taft RJ, Luu T, Abood ME, et al. (2005) Cannabinoids selectively inhibit proliferation and induce death of cultured human glioblastomamultiforme cells. J Neurooncol 74: 31-40.

30. Marshall RJ The best kept secret in nutrition: The body's biofield communication system. Premier research labs. Austin, USA.

31. Shen MX (1997) Qigong is an effective way to defeat cancer. China Qigong Science 5: 8-10.

32. Chen K, Yeung R (2002) Exploratory studies of Qigong therapy for cancer in China. Integr Cancer Ther 1: 345-370.

# data[].attributes.attachment_link.title
The Potential Impact of Biofield Treatment on Human Brain Tumor Cells: A Time-Lapse Video Microscopy

# data[].attributes.attachment_link.description
Glial cell ; Glioblastoma; Brain tumor; Biofield treatment; Time-lapse video microscopy Brain tumors are typically very heterogeneous, aggressive neoplasms at the cellular level which affects both children and adults [ 1]. Statistics based on cancer research institute explore that 1 in 161 individuals born today with brain cancer at different point of life.

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	Biofield | Phenotyping & Genotyping Characteristic of Shigella sonnei
	

# data[].attributes.subject
	
	
	
	
	Biofield | Phenotyping & Genotyping Characteristic of Shigella sonnei
	

# data[].attributes.body
An experimental study of Biofield Treatment impact on evaluation of Phenotyping and Genotyping Characteristic of Shigella sonnei by Mahendra Kumar Trivedi.

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Please enable JavaScript to view the comments powered by Disqus.

Volume 5 * Issue 3 * 1000196

ISSN: 2155-952X JBTBM, an open access journal

Research ArticleOpen Access

Biotechnology & Biomaterials

Trivedi et al., J Biotechnol Biomater 2015, 5:3

http://dx.doi.org/10.4172/2155-952X.1000196

*Corresponding author:Snehasis Jana, Trivedi Science Research Laboratory

Pvt. Ltd., Hall-A, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Rd.,

Bhopal- 462026, Madhya Pradesh, India, Tel: +91-755-6660006; E-mail:

Received August 05, 2015; Accepted August 25, 2015; Published September

of Phenotyping and Genotyping Characteristic of Shigella sonnei after Bioeld

Treatment. J Biotechnol Biomater 5: 196. doi:10.4172/2155-952X.1000196

under the terms of the Creative Commons Attribution License, which permits

unrestricted use, distribution, and reproduction in any medium, provided the

original author and source are credited.

Evaluation of Phenotyping and Genotyping Characteristic of

1Trivedi Global Inc., 10624 S Eastern Avenue Suite A-969, Henderson, NV 89052, USA

2Trivedi Science Research Laboratory Pvt. Ltd., Hall-A, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Rd., Bhopal- 462026, Madhya Pradesh, India

Shigella sonnei (S. sonnei) is a non-motile, rod shape, clinically signicant, Gram-negative bacterium. It is

commonly associated with dysentery (shigellosis). Recently, resistance to third and fourth generation cephalosporins

on phenotyping and genotyping characteristic of S. sonnei (ATCC 9290). The lyophilized samples of S. sonnei were

divided in three groups (G): G-I (control, revived), G-II (treatment, revived), and G-III (treatment, lyophilized). All

these groups (control and bioeld treated) were analyzed against antimicrobial susceptibility, biochemical reactions,

and biotype number. The 16S rDNA sequencing was carried out to establish the phylogenetic relationship of

S. sonnei with different bacterial species. The treated cells of S. sonnei exhibited an alteration of 3.33%, 10%,

and 23.33% of total 30 tested antimicrobials in susceptibility assay for G-II on day 5 and 10 and G-III on day 10,

respectively as compared to control. The treated cells of S. sonnei showed a signicant change of about 12.12%,

12.12%, and 57.58% biochemical reactions out of 33 tests in treated groups of G-II on day 5 and 10 and G-III on

day 10, respectively. The biotype number was also changed in treated samples of S. sonnei. Based on nucleotide

homology sequences and phylogenetic analysis, the nearest homolog species of S. sonnei (GenBank Accession

Number: EU009190) was identied as Shigella exneri (EF643608). These results revealed that bioeld treatment

can prevent the absolute resistance in microbe against the existing antimicrobials.

Keywords: Antimicrobial susceptibility; Bioeld treatment; 16S

rDNA gene sequencing; Shigella sonnei

Abbreviations: MIC: Minimum Inhibitory Concentration; ATCC:

American Type Culture Collection; NBPC30: Negative Breakpoint

Combo 30; NCBI: National Center for Biotechnology Information;

WHO: World Health Organization; 16S rDNA: 16Svedberg Unit

Ribosomal Deoxyribonucleic Acid; BLAST: Basic Local Alignment

Search Tool; Outs: Operational Taxonomic Units

Development of antimicrobial resistance in several microbes like

bacteria, viruses, fungi, or in parasites has been reported globally in

the recent few decades. Frequent and improper use of antimicrobial

further accelerated the incidence of microbial resistance [1]. Shigella

Gram-negative and lactose-fermenting bacterium. S. sonnei  is

associated with gastrointestinal tract (GIT) infection disease shigellosis

in both developed and developing countries, where the sanitation is

insucient [2,3]. S. sonnei is usually transmitted by fecal-oral route,

direct interpersonal contact, contaminated food, water, or uncooked

food. Shigella infection is the third most common gastroenteritis aer

Salmonella and Campylobacter infection in the USA. Recently, S.

sonnei has become the most prevalent species in the developed world. It

is estimated to cause 80-165 million cases of disease and 600,000 deaths

annually, worldwide [4]. e S. sonnei has been acquired resistant

to commonly used antimicrobials like streptomycin, tetracycline,

sulfonamide, trimethoprim, and ampicillin. Emergence of extended-

spectrum β-lactamases (ESBLs) in S. sonnei was also detected in Korea

[2,5]. erefore the multidrug therapy required to treat the infection

cause by resistant strain of microbes. However, multiple drug therapy

shows serious toxicity and associated adverse eects like neurotoxicity

and nephrotoxicity [6]. Due to associated side eects and failure of

drug therapy, an alternate treatment approach is required. Recently, an

alternate treatment known as bioeld energy is reported that inhibits

the growth of bacterial cultures [7]. Bioeld is an electromagnetic

eld that permeates and surrounds living organisms and referred as

biologically produced electromagnetic and subtle energy eld that

provides regulatory and communication functions within the human

organism [8]. Various internal physiological processes such as blood

ow, brain and heart function etc. generates bioeld. Researchers have

attempted dierent biologic studies and eects of bioeld on various

biomolecules such as proteins, antibiotics [9], conformational change

in DNA [10] etc. us, human has the ability to harness the energy

from environment or universe and can transmit into any living or

nonliving object(s) around the Globe. e objects always receive the

energy and responding into useful way that is called bioeld energy

and the process is known as bioeld treatment [11]. Mr. Mahendra

Trivedi's bioeld treatment (e Trivedi Eect®) has renowned to alter

the various physicochemical characteristics of metals and ceramics

[11-17]. Quality and quantity of several agriculture products have

been improved by several folds in the bioeld treated plants [18-20]

and growth and adaptation of the plant were also enhanced with the

help of bioeld treatment [21,22]. In addition, the bioeld treatment

has considerably altered the phenotype and biotype of the microbe and

subsequently, the susceptibility to antimicrobials was also changed [23-

Citation: Trivedi MK, Patil S, Shettigar H, Bairwa K, Jana S (2015) Evaluation of Phenotyping and Genotyping Characteristic of Shigella sonnei after

Bioeld Treatment. J Biotechnol Biomater 5: 196. doi:10.4172/2155-952X.1000196

Volume 5 * Issue 3 * 1000196

ISSN: 2155-952X JBTBM, an open access journal

Based on the knowledge of existing literatures and considering

the clinical signicance of S. sonnei, we evaluated to see the impact

of bioeld treatment on antimicrobial susceptibility, biochemical

reactions pattern, biotype number, and 16S rDNA gene sequencing of

Two lyophilized vials of S. sonnei [American Type Culture

Collection (ATCC) 9290] were purchased from MicroBioLogics, Inc.,

USA. e microbial sample vials were stored as per the suggested

storage conditions till further use. e antimicrobial susceptibility study,

biochemical reactions pattern, and biotype number were evaluated by

MicroScan Walk-Away® (Dade Behring Inc., West Sacramento, CA)

through Negative Breakpoint Combo 30 (NBPC30) panel. e 16S

rDNA sequencing was performed using Ultrapure Genomic DNA Prep

Kit (Cat KT 83, Bangalore Genei, India).

e lyophilized strain of S. sonnei were divided into three groups

(G) like G-I (control), G-II (treatment, revived), and G-III (treatment,

lyophilized). G-I consider as control. No treatment was given. e

treatment groups (II and III) were in sealed pack and handed over to Mr.

Trivedi for bioeld treatment under laboratory condition. Mr. Trivedi

provided the treatment through his energy transmission process to

the treated groups without touching the samples. Subsequently, group

G-I and G-II were assessed on day 5 and 10; and G-III was assessed

on day 10. Aer that, all groups were evaluated for an antimicrobial

susceptibility, biochemical reactions pattern, and biotype number [25].

e 16S rDNA gene sequencing of S. sonnei was also carried out.

Investigation of antimicrobial susceptibility of S. sonnei

e antimicrobial susceptibility of S. sonnei was evaluated with the

help of automated instrument, MicroScan Walk-Away® using Negative

Breakpoint Combo 30 (NBPC30) panel as per the manufactures

instructions [26]. e minimum inhibitory concentration (MIC)

and a qualitative susceptibility like resistant (R), intermediate

(I), and susceptible (S) were determined by analyzing the lowest

antimicrobial concentration showing microbial growth inhibition [25].

e antimicrobial sensitivity study was carried out using following

30 antimicrobials such as amikacin, amoxicillin/K-clavulanate

acid, ampicillin/sulbactam, ampicillin, aztreonam, cefazolin,

cefepime, cefotaxime, cefotetan, cefoxitin, ceazidime, ceriaxone,

cefuroxime, cephalothin, chloramphenicol, ciprooxacin, gatioxacin

, gentamicin, imipenem, levooxacin, meropenem, moxioxacin,

nitrofurantoin, noroxacin, piperacillin, tazobactam, tetracycline,

ticarcillin, tobramycin, and trimethoprim/sulfamethoxazole. All these

antimicrobials were procured from Sigma-Aldrich.

e biochemical reactions of S. sonnei were carried out using

MicroScan Walk-Away® system where, interpretation of biochemical

reactions for microbial identication of Gram-negative organisms

resulted in high accuracy [27,28]. e biochemical reactions patterns

of control and treated samples of S. sonnei were performed using the

following 33 biochemicals such as acetamide, adonitol, arabinose,

arginine, cetrimide, cephalothin, citrate, colistin, esculin hydrolysis,

nitrofurantoin, glucose, hydrogen sulde, indole, inositol, kanamycin,

lysine, malonate, melibiose, nitrate, oxidation-fermentation,

galactosidase, ornithine, oxidase, penicillin, ranose, rhamnose,

sorbitol, sucrose, tartrate, tryptophan deaminase, tobramycin, urea,

and Voges-Proskauer. All these biochemicals were procured from

e biotype number of S. sonnei was found out utilizing the

MicroScan Walk-Away® processed panel data report, using biochemical

using genomic purication Kit, as per the manufacturer's instructions.

Subsequently, the 16S rDNA gene (~1.5 kb) was amplied using

universal forward primer 5'-AGAGTTTGATCCTGGC-3' and universal

reverse primer 5'-GGTTACCTTGTTACGACTT-3'. Subsequently,

the amplied products were resolved by gel electrophoresis on 1.0%

agarose gel, stained with ethidium bromide, and then visualized under

UV light in a gel documentation unit (BioRad Laboratories, USA). e

PCR amplied fragment was puried from the agarose gel utilizing

a DNA Gel Extraction Kit. e amplied product was sequenced

on commercial basis from Bangalore Genei, India. e received 16S

rDNA sequences data were aligned and compared with the sequences

stored in Gene Bank database of National Center for Biotechnology

Information (NCBI) using the algorithm BLASTn program. Finally,

the multiple sequence alignment/phylogenetic tree was constructed

with help of MEGA 3.1 soware utilizing neighbor joining method

Antimicrobial susceptibility assay

e antimicrobial sensitivity data were reported in Table 1 and

2. e result showed that the bioeld treated S. sonnei exhibited a

signicant alteration in susceptibility assay of about 3.33% (G-II

on day 5), 10% (G-II on day 10), and 23.33% (G-III on day 10) of

total tested antimicrobials. e antimicrobials ampicillin, aztreonam,

cefotaxime, ceazidime, chloramphenicol, and tetracycline were

converted from R → S; simultaneously more than 2 folds decreases

in MIC values in lyophilized treated group G-III; cefotaxime showed

a decrease in susceptibility from R → I in G-II on day 10. Besides,

amoxicillin/K-clavulanate and ampicillin/sulbactam were converted

from S → R in G-II and cefepime converted from I → S in G-III on

Identication of S. sonnei by biochemical reactions

e results of biochemical reactions of S. sonnei are presented in

Table 3, which represent a signicant alteration in biochemical reactions

of about 12.12% (G-II on day 5 and 10), and 57.58% (G-III on day 10)

of total tested biochemicals as compared to control. e biochemicals

such as adonitol, cephalothin, citrate, colistin, esculin hydrolysis,

hydrogen sulde, kanamycin, lysine, malonate, melibiose, ranose,

sorbitol, sucrose, tobramycin, urea, and Voges-Proskauer were changed

from positive (control) → negative reactions (treated) in G-III microbes.

Additionally, arginine was converted from positive to negative reaction

in entire treated groups. Nitrofurantoin was converted from positive to

negative in G-II on day 5 and G-III on day 10 (Table 3). Tartrate was

converted from positive to negative reaction in both G-II and G-III on

day 10; and inositol and tryptophan deaminase were converted from

negative to positive reaction in G-II on both days (Table 3). All the data

were compared as compared to control.

Citation: Trivedi MK, Patil S, Shettigar H, Bairwa K, Jana S (2015) Evaluation of Phenotyping and Genotyping Characteristic of Shigella sonnei after

Bioeld Treatment. J Biotechnol Biomater 5: 196. doi:10.4172/2155-952X.1000196

Volume 5 * Issue 3 * 1000196

ISSN: 2155-952X JBTBM, an open access journal

As evidenced from Table 6, the lowest value of genetic distance

from S. sonnei was 0.002 base substitutions per site. e nearest

homolog genus-species of S. sonnei (Genbank accession number:

EU009190) was determined by analyzing the 16S rDNA sequencing

and phylogenetic tree, and found to be Shigella exneri (Genbank

Eect of bioeld treatment on biotype number

Biotype number of S. sonnie was determined on MicroScan Walk-

Away® processed panel. e result was demonstrated an alteration in

biotype number of S. sonnie in the entire treated groups G-II and G-III

(Table 4). However, the species (S. sonnei) was remained unchanged in

the entire treated group.

e 16S rDNA sequence was determined in S. sonnei and shown

in Figure 1. e alignment and comparison of the gene sequences

were performed with the sequences stored in Gene Bank data base

available from NCBI using the algorithm BLASTn program. As

evidenced from nucleotides homology and phylogenetic analysis the

with 99% identity of gene sequencing data. Ten bacterial species and

S. sonnei were considered as Operational Taxonomic Units (OTUs)

to facilitate the investigation of phylogenetic relationship of S. sonnei

among other related species. Total 1500 base nucleotide of 16S rDNA

gene sequences were compared by multiple alignments with the help

of ClustalW in MEGA3.1 [30], and the data are shown in Table 5.

26Piperacillin/tazobactamS S S S

28Ticarcillin/k-clavulanateS S S S

pattern of selected antimicrobials

G, stands for group; The control group G-I and G-II were accessed on day 5 and

10; and G-III was accessed on day 10, after the bioeld treatment; I, intermediate;

S, susceptible; R, resistant.

1Amikacin>32 >32 >32 >32

14Cephalothin16 16 16 16

22 Moxioxacin≤2 ≤2 ≤2 ≤2

26 Piperacillin/tazobactam≤16 ≤16 ≤16 ≤16

28 Ticarcillin/k-clavulanate≤16 ≤16 ≤16 ≤16

sulfamethoxazole ≤2/38 ≤2/38 ≤2/38 ≤2/38

G, stands for group; MIC data is presented in µg/mL

concentration (MIC) of selected antimicrobials.

Figure 1: Phylogenetic tree of the partial 16S rDNA gene sequencing using

MEGA 3.1 software by Neighbor joining method.

# data[].attributes.attachment_link.title
Evaluation of Phenotyping and Genotyping Characteristic of Shigella sonnei after Biofield Treatment - PdfSR.com

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Shigella sonnei (S. sonnei) is a non-motile, rod shape, clinically significant, Gram-negative bacterium. It is commonly associated with dysentery (shigellosis). Recently, resistance to third and fourth generation cephalosporins and fluoroquinolones has been reported in S. sonnei. In the present study, we assessed the effect of biofield treatment on phenotyping and genotyping characteristic of S.

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	Phenotyping & Genotyping Characteristic of Shigella sonnei after Biofield Treatment
	

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	Phenotyping & Genotyping Characteristic of Shigella sonnei after Biofield Treatment
	

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Know more about the effect of Mahendra Kumar Trivedi’s Biofield treatment on Phenotyping and Genotyping Characteristic of Shigella sonnei.

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	Biofield Treatment on Genotyping Characteristic Of Shigella Sonnei
	

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	Biofield Treatment on Genotyping Characteristic Of Shigella Sonnei
	

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The aim of present study was evaluated the the effect of biofield treatment on phenotyping and genotyping characteristic of Shigella sonnei.

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Evaluation of Phenotyping and Genotyping Characteristic of Shigella sonnei after Biofield Treatment

# data[].attributes.attachment_link.description
Shigella sonnei (S. sonnei) is a non-motile, rod shape, clinically significant, Gram-negative bacterium. It is commonly associated with dysentery (shigellosis). Recently, resistance to third and fourth generation cephalosporins and fluoroquinolones

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	Phenotyping & Genotyping Evaluation | Shigella sonnei | Biofield Treatment
	

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	Phenotyping & Genotyping Evaluation | Shigella sonnei | Biofield Treatment
	

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Mahendra Kumar Trivedi evalutated the effect of biofield treatment on phenotyping and genotyping characteristic of Shigella sonnei. Read more

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	 Evaluation & Characteristic of Shigella sonnei after Biofield Treatment
	

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	 Evaluation & Characteristic of Shigella sonnei after Biofield Treatment
	

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In this research Mahendra Kumar Trivedi & his team assessed the effect of biofield treatment on phenotyping and genotyping characteristic of Shigella sonnei.

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	Characteristic of Shigella sonnei after Biofield Treatment
	

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	Characteristic of Shigella sonnei after Biofield Treatment
	

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In the present study, Trivedi Science Research Laboratory Team assessed the effect of biofield treatment on phenotyping and genotyping characteristic of S. sonnei (ATCC 9290).

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Mahendra Kumar Trivedi1, Shrikant Patil1, Harish Shettigar1, Khemraj Bairwa2 and Snehasis Jana2*

¹ Trivedi Global Inc., 10624 S Eastern Avenue Suite A-969, Henderson, NV 89052, USA

² Trivedi Science Research Laboratory Pvt. Ltd., Hall-A, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Rd., Bhopal- 462026, Madhya Pradesh, India

Corresponding Author:

Snehasis Jana
Trivedi Science Research Laboratory Pvt. Ltd.
Hall-A, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Rd.
Bhopal- 462026, Madhya Pradesh, India
Tel: +91-755-6660006
E-mail: [email protected]

Received date: August 05, 2015; Accepted date: August 25, 2015; Published date: September 01, 2015

Citation: Trivedi MK, Patil S, Shettigar H, Bairwa K, Jana S (2015) Evaluation of Phenotyping and Genotyping Characteristic of Shigella sonnei after Biofield Treatment. J Biotechnol Biomater 5:196. doi:10.4172/2155-952X.1000196

Copyright: © 2015 Trivedi MK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Biotechnology & Biomaterials

Abstract

Shigella sonnei (S. sonnei) is a non-motile, rod shape, clinically significant, Gram-negative bacterium. It is commonly associated with dysentery (shigellosis). Recently, resistance to third and fourth generation cephalosporins and fluoroquinolones has been reported in S. sonnei. In the present study, we assessed the effect of biofield treatment on phenotyping and genotyping characteristic of S. sonnei (ATCC 9290). The lyophilized samples of S. sonnei were divided in three groups (G): G-I (control, revived), G-II (treatment, revived), and G-III (treatment, lyophilized). All these groups (control and biofield treated) were analyzed against antimicrobial susceptibility, biochemical reactions, and biotype number. The 16S rDNA sequencing was carried out to establish the phylogenetic relationship of S. sonnei with different bacterial species. The treated cells of S. sonnei exhibited an alteration of 3.33%, 10%, and 23.33% of total 30 tested antimicrobials in susceptibility assay for G-II on day 5 and 10 and G-III on day 10, respectively as compared to control. The treated cells of S. sonnei showed a significant change of about 12.12%, 12.12%, and 57.58% biochemical reactions out of 33 tests in treated groups of G-II on day 5 and 10 and G-III on day 10, respectively. The biotype number was also changed in treated samples of S. sonnei. Based on nucleotide homology sequences and phylogenetic analysis, the nearest homolog species of S. sonnei (GenBank Accession Number: EU009190) was identified as Shigella flexneri (EF643608). These results revealed that biofield treatment can prevent the absolute resistance in microbe against the existing antimicrobials.

Keywords

Antimicrobial susceptibility; Biofield treatment; 16S rDNA gene sequencing; Shigella sonnei

Abbreviations

MIC: Minimum Inhibitory Concentration; ATCC: American Type Culture Collection; NBPC30: Negative Breakpoint Combo 30; NCBI: National Center for Biotechnology Information; WHO: World Health Organization; 16S rDNA: 16Svedberg Unit Ribosomal Deoxyribonucleic Acid; BLAST: Basic Local Alignment Search Tool; Outs: Operational Taxonomic Units

Introduction

Development of antimicrobial resistance in several microbes like bacteria, viruses, fungi, or in parasites has been reported globally in the recent few decades. Frequent and improper use of antimicrobial further accelerated the incidence of microbial resistance [ 1]. Shigella sonnei (S. sonnei) is a rod shape, non-motile, facultative anaerobic Gram-negative and lactose-fermenting bacterium. S. sonnei is associated with gastrointestinal tract (GIT) infection disease shigellosis in both developed and developing countries, where the sanitation is insufficient [ 2, 3]. S. sonnei is usually transmitted by fecal-oral route, direct interpersonal contact, contaminated food, water, or uncooked food. Shigella infection is the third most common gastroenteritis after Salmonella and Campylobacter infection in the USA. Recently, S. sonnei has become the most prevalent species in the developed world. It is estimated to cause 80-165 million cases of disease and 600,000 deaths annually, worldwide [ 4]. The S. sonnei has been acquired resistant to commonly used antimicrobials like streptomycin, tetracycline, sulfonamide, trimethoprim, and ampicillin. Emergence of extendedspectrum β-lactamases (ESBLs) in S. sonnei was also detected in Korea [ 2, 5]. Therefore the multidrug therapy required to treat the infection cause by resistant strain of microbes. However, multiple drug therapy shows serious toxicity and associated adverse effects like neurotoxicity and nephrotoxicity [ 6]. Due to associated side effects and failure of drug therapy, an alternate treatment approach is required. Recently, an alternate treatment known as biofield energy is reported that inhibits the growth of bacterial cultures [ 7]. Biofield is an electromagnetic field that permeates and surrounds living organisms and referred as biologically produced electromagnetic and subtle energy field that provides regulatory and communication functions within the human organism [ 8]. Various internal physiological processes such as blood flow, brain and heart function etc. generates biofield. Researchers have attempted different biologic studies and effects of biofield on various biomolecules such as proteins, antibiotics [ 9], conformational change in DNA [ 10] etc. Thus, human has the ability to harness the energy from environment or universe and can transmit into any living or nonliving object(s) around the Globe. The objects always receive the energy and responding into useful way that is called biofield energy and the process is known as biofield treatment [ 11]. Mr. Mahendra Trivedi's biofield treatment (The Trivedi Effect ®) has renowned to alter the various physicochemical characteristics of metals and ceramics [ 11- 17]. Quality and quantity of several agriculture products have been improved by several folds in the biofield treated plants [ 18- 20] and growth and adaptation of the plant were also enhanced with the help of biofield treatment [ 21, 22]. In addition, the biofield treatment has considerably altered the phenotype and biotype of the microbe and subsequently, the susceptibility to antimicrobials was also changed [ 23- 25].

Based on the knowledge of existing literatures and considering the clinical significance of S. sonnei, we evaluated to see the impact of biofield treatment on antimicrobial susceptibility, biochemical reactions pattern, biotype number, and 16S rDNA gene sequencing of the microbe.

Materials and Methods

Two lyophilized vials of S. sonnei [American Type Culture Collection (ATCC) 9290] were purchased from MicroBioLogics, Inc., USA. The microbial sample vials were stored as per the suggested storage conditions till further use. The antimicrobial susceptibility study, biochemical reactions pattern, and biotype number were evaluated by MicroScan Walk-Away ® (Dade Behring Inc., West Sacramento, CA) through Negative Breakpoint Combo 30 (NBPC30) panel. The 16S rDNA sequencing was performed using Ultrapure Genomic DNA Prep Kit (Cat KT 83, Bangalore Genei, India).
Biofield treatment
The lyophilized strain of S. sonnei were divided into three groups (G) like G-I (control), G-II (treatment, revived), and G-III (treatment, lyophilized). G-I consider as control. No treatment was given. The treatment groups (II and III) were in sealed pack and handed over to Mr. Trivedi for biofield treatment under laboratory condition. Mr. Trivedi provided the treatment through his energy transmission process to the treated groups without touching the samples. Subsequently, group G-I and G-II were assessed on day 5 and 10; and G-III was assessed on day 10. After that, all groups were evaluated for an antimicrobial susceptibility, biochemical reactions pattern, and biotype number [ 25]. The 16S rDNA gene sequencing of S. sonnei was also carried out.
Investigation of antimicrobial susceptibility of S. sonnei
The antimicrobial susceptibility of S. sonnei was evaluated with the help of automated instrument, MicroScan Walk-Away ® using Negative Breakpoint Combo 30 (NBPC30) panel as per the manufactures instructions [ 26]. The minimum inhibitory concentration (MIC) and a qualitative susceptibility like resistant (R), intermediate (I), and susceptible (S) were determined by analyzing the lowest antimicrobial concentration showing microbial growth inhibition [ 25]. The antimicrobial sensitivity study was carried out using following 30 antimicrobials such as amikacin, amoxicillin/K-clavulanate acid, ampicillin/sulbactam, ampicillin, aztreonam, cefazolin, cefepime, cefotaxime, cefotetan, cefoxitin, ceftazidime, ceftriaxone, cefuroxime, cephalothin, chloramphenicol, ciprofloxacin, gatifloxacin , gentamicin, imipenem, levofloxacin, meropenem, moxifloxacin, nitrofurantoin, norfloxacin, piperacillin, tazobactam, tetracycline, ticarcillin, tobramycin, and trimethoprim/sulfamethoxazole. All these antimicrobials were procured from Sigma-Aldrich.
Biochemical studies
The biochemical reactions of S. sonnei were carried out using MicroScan Walk-Away ® system where, interpretation of biochemical reactions for microbial identification of Gram-negative organisms resulted in high accuracy [ 27, 28]. The biochemical reactions patterns of control and treated samples of S. sonnei were performed using the following 33 biochemicals such as acetamide, adonitol, arabinose, arginine, cetrimide, cephalothin, citrate, colistin, esculin hydrolysis, nitrofurantoin, glucose, hydrogen sulfide, indole, inositol, kanamycin, lysine, malonate, melibiose, nitrate, oxidation-fermentation, galactosidase, ornithine, oxidase, penicillin, raffinose, rhamnose, sorbitol, sucrose, tartrate, tryptophan deaminase, tobramycin, urea, and Voges-Proskauer. All these biochemicals were procured from Sigma-Aldrich.
Biotype number
The biotype number of S. sonnei was found out utilizing the MicroScan Walk-Away ® processed panel data report, using biochemical reactions data [ 26].
16S rDNA gene sequencing
Genomic DNA was prepared from biofield treated S. sonnei cells using genomic purification Kit, as per the manufacturer's instructions. Subsequently, the 16S rDNA gene (~1.5 kb) was amplified using universal forward primer 5'-AGAGTTTGATCCTGGC-3' and universal reverse primer 5'-GGTTACCTTGTTACGACTT-3'. Subsequently, the amplified products were resolved by gel electrophoresis on 1.0% agarose gel, stained with ethidium bromide, and then visualized under UV light in a gel documentation unit (BioRad Laboratories, USA). The PCR amplified fragment was purified from the agarose gel utilizing a DNA Gel Extraction Kit. The amplified product was sequenced on commercial basis from Bangalore Genei, India. The received 16S rDNA sequences data were aligned and compared with the sequences stored in Gene Bank database of National Center for Biotechnology Information (NCBI) using the algorithm BLASTn program. Finally, the multiple sequence alignment/phylogenetic tree was constructed with help of MEGA 3.1 software utilizing neighbor joining method [ 29, 30].

Results
Antimicrobial susceptibility assay
The antimicrobial sensitivity data were reported in Table 1 and 2. The result showed that the biofield treated S. sonnei exhibited a significant alteration in susceptibility assay of about 3.33% (G-II on day 5), 10% (G-II on day 10), and 23.33% (G-III on day 10) of total tested antimicrobials. The antimicrobials ampicillin, aztreonam, cefotaxime, ceftazidime, chloramphenicol, and tetracycline were converted from R → S; simultaneously more than 2 folds decreases in MIC values in lyophilized treated group G-III; cefotaxime showed a decrease in susceptibility from R → I in G-II on day 10. Besides, amoxicillin/K-clavulanate and ampicillin/sulbactam were converted from S → R in G-II and cefepime converted from I → S in G-III on day 10.

Table 1: Effect of biofield treatment on Shigella sonnei to antimicrobial susceptibility pattern of selected antimicrobials
G, stands for group; The control group G-I and G-II were accessed on day 5 and 10; and G-III was accessed on day 10, after the biofield treatment; I, intermediate; S, susceptible; R, resistant.

G, stands for group; MIC data is presented in μg/mL

Table 2: Effect of biofield treatment on Shigella sonnei to minimum inhibitory concentration (MIC) of selected antimicrobials.
Identification of S. sonnei by biochemical reactions
The results of biochemical reactions of S. sonnei are presented in Table 3, which represent a significant alteration in biochemical reactions of about 12.12% (G-II on day 5 and 10), and 57.58% (G-III on day 10) of total tested biochemicals as compared to control. The biochemicals such as adonitol, cephalothin, citrate, colistin, esculin hydrolysis, hydrogen sulfide, kanamycin, lysine, malonate, melibiose, raffinose, sorbitol, sucrose, tobramycin, urea, and Voges-Proskauer were changed from positive (control) → negative reactions (treated) in G-III microbes. Additionally, arginine was converted from positive to negative reaction in entire treated groups. Nitrofurantoin was converted from positive to negative in G-II on day 5 and G-III on day 10 ( Table 3). Tartrate was converted from positive to negative reaction in both G-II and G-III on day 10; and inositol and tryptophan deaminase were converted from negative to positive reaction in G-II on both days ( Table 3). All the data were compared as compared to control.

G, stands for group; -, (negative); +, (positive)

Table 3: Effect of biofield treatment on Shigella sonnie to biochemicals reactions pattern.
Effect of biofield treatment on biotype number
Biotype number of S. sonnie was determined on MicroScan Walk- Away ® processed panel. The result was demonstrated an alteration in biotype number of S. sonnie in the entire treated groups G-II and G-III ( Table 4). However, the species (S. sonnei) was remained unchanged in the entire treated group.

Table 4: Effect of biofield treatment on Shigella sonnei to alteration in biotype.
16S rDNA gene sequencing
The 16S rDNA sequence was determined in S. sonnei and shown in Figure 1. The alignment and comparison of the gene sequences were performed with the sequences stored in Gene Bank data base available from NCBI using the algorithm BLASTn program. As evidenced from nucleotides homology and phylogenetic analysis the sample 6A (S. sonnei) was identified as the same species (S. sonnei) with 99% identity of gene sequencing data. Ten bacterial species and S. sonnei were considered as Operational Taxonomic Units (OTUs) to facilitate the investigation of phylogenetic relationship of S. sonnei among other related species. Total 1500 base nucleotide of 16S rDNA gene sequences were compared by multiple alignments with the help of ClustalW in MEGA3.1 [ 30], and the data are shown in Table 5. As evidenced from Table 6, the lowest value of genetic distance from S. sonnei was 0.002 base substitutions per site. The nearest homolog genus-species of S. sonnei (Genbank accession number: EU009190) was determined by analyzing the 16S rDNA sequencing and phylogenetic tree, and found to be Shigella flexneri (Genbank accession number: EF643608). The distance matrix was prepared based on nucleotide sequence homology data and presented in Table 6. All pairwise distance analysis was carried out employing the p-distance method in MEGA3.1 software.

Alignment view

AN

Alignment results

Sequence description

6A

0.99

Sample studied

Table 5: The closest sequences of Shigella sonnei from sequence alignment using NCBI GenBank and Ribosomal database project (RDP).

Table 6: Distance matrix based on nucleotide sequence homology (Using Kimura-2 Parameter).

Discussion

Antimicrobial resistance is a major global threat to public health, reported by World Health Organization (WHO). WHO also reported a post-antibiotic era, where people will die from simple microbial infections that have been curable for decades. Microbes naturally mutate and ultimately become immune to antimicrobials. Unfortunately, due to misuse of antimicrobials like over-prescribing by doctors or improper uses by patients is causing it to happen in much faster than expected. Similarly, S. sonnei has been acquired resistant to commonly used antimicrobials like tetracycline, streptomycin, trimethoprim, sulfonamide, and ampicillin. Further, emergence of extended-spectrum β-lactamases (ESBLs) was also detected in S. sonnei in some Asian countries like Korea [ 2, 3, 31].

Due to increasing the number of clinical specimens, costeffectiveness, and convenient interfaces with hospital information systems and laboratory the uses of automated or semi-automated systems for the susceptibility testing and identification of microbes has been increased recently [ 32]. Therefore, we also utilized the MicroScan Walk-Away ® system for analysis of antimicrobial sensitivity, biochemical reactions, and biotyping. The overall result of antimicrobial susceptibility of biofield treated S. sonnei suggested that biofield treatment has significantly alerted the sensitivity of microbes in both side (either S → R or R → S) as compared to control. The biochemical reactions of treated cells of S. sonnei were altered in the range of 12.11 to 57.58% in treated group as compared to control, which could be due to some alteration happened in metabolic enzyme systems and/or genetic system. It was also found that there was an alteration of biotype number in treated groups of S. sonnei. Based on the BLASTn analysis, the sample 6A was identified as S. sonnei. The closest homologues species of S. sonnei was identified as Shigella flexneri. The present study revealed that biofield treatment can alter the sensitivity of antimicrobials against S. sonnei. It seems that biofield treatment can play a potential role to circumvent the severe microbial infection in the fast and cost effective way as compared to modern medication.

Conclusion

Altogether data suggest that there was an impact of biofield treatment on antimicrobial susceptibility, biochemical reactions pattern, and biotype number of S. sonnei. To the best of our knowledge, this is the first report describing the significant impact of biofield treatment on S. sonnei in relation to change the sensitivity of antimicrobials.

Acknowledgement

The authors would like to acknowledge the whole team of Hinduja Microbiology Lab for their support. The authors also like to acknowledge the Trivedi Science, Trivedi Master Wellness and Trivedi Testimonials for their steady support during the work.

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23. Trivedi MK, Patil S (2008) Impact of an external energy on Staphylococcus epidermis [ATCC-13518] in relation to antibiotic susceptibility and biochemical reactions-an experimental study. J Accord Integr Med 4: 230-235.

24. Trivedi MK, Patil S (2008) Impact of an external energy on Yersinia enterocolitica [ATCC-23715] in relation to antibiotic susceptibility and biochemical reactions: an experimental study. Internet J Alternat Med 6.

25. Trivedi MK, Patil S, Shettigar H, Gangwar M, Jana S (2015) Antimicrobial sensitivity pattern of Pseudomonas fluorescens after biofield treatment. J Infect Dis Ther 3: 222.

26. Fader RC, Weaver E, Fossett R, Toyras M, Vanderlaan J, et al. (2013) Multilaboratory study of the biomic automated well-reading instrument versus MicroScanWalkAway for reading MicroScan antimicrobial Susceptibility and identification panels. J ClinMicrobiol 51: 1548-1554.

27. Gomaa FM, Tawakol WM, Abo El-Azm FI (2014) Phenotypic and genotypic detection of some antimicrobial resistance mechanisms among multidrug-resistant Acinetobacterbaumannii isolated from immunocompromised patients in Egypt. Egypt J Med Microbiol 23: 99-111.

28. Jorgensen JH, Ferraro MJ (2009) Antimicrobial susceptibility testing: a review of general principles and contemporary practices. Clin Infect Dis 49: 1749-1755.

29. Lennox VA, Ackerman VP (1984) Biochemical identification of bacteria by replicator methods on agar plates. Pathology 16: 434-440.

30. Kumar S, Tamura K, Nei M (2004) MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment. Brief Bioinform 5: 150-163.

31. Cohen ML (1992) Epidemiology of drug resistance: implications for a post-antimicrobial era. Science 257: 1050-1055.

32. Sader HS, Fritsche TR, Jones RN (2006) Accuracy of three automated systems (MicroScanWalkAway, VITEK, and VITEK 2) for susceptibility testing of Pseudomonas aeruginosa against five broad-spectrum beta-lactam agents. J ClinMicrobiol 44: 1101-1104.

# data[].attributes.attachment_link.keywords[]
antimicrobial susceptibility; biofield treatment; 16s rdna gene sequencing; shigella sonnei

# data[].attributes.attachment_link.title
Evaluation of Phenotyping and Genotyping Characteristic of Shigella sonnei after Biofield Treatment

# data[].attributes.attachment_link.description
Mahendra Kumar Trivedi1 , Shrikant Patil1 , Harish Shettigar1 , Khemraj Bairwa2 and Snehasis Jana2 * 1 Trivedi Global Inc., 10624 S Eastern Avenue Suite A-969, Henderson, NV 89052, USA 2 Trivedi Science Research Laboratory Pvt. Ltd., Hall-A, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Rd., Bhopal- 462026, Madhya Pradesh, India Corresponding Author: Snehasis Jana Trivedi Science Research Laboratory Pvt.

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	Biofield Energy Treatment Effect on Klebsiella pneumoniae
	

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	Biofield Energy Treatment Effect on Klebsiella pneumoniae
	

# data[].attributes.body
The study to check antibiogram typing and biochemical characterization of klebsiella pneumoniae after biofield energy treatment, a test by Mahendra Trivedi.

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	Antimicrobial Susceptibility Test of Biofield Treated S. Aureus
	

# data[].attributes.subject
	
	
	
	
	Antimicrobial Susceptibility Test of Biofield Treated S. Aureus
	

# data[].attributes.body
Biofield treatment has successfully showed an alteration of antimicrobial susceptibility pattern of Staphylococcus Aureus. Visit to know more about biofield treated Staphylococcus aureus and results.

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	 Study of Biochemical Reactions Pattern of Biofield Treated S. Aureus
	

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	 Study of Biochemical Reactions Pattern of Biofield Treated S. Aureus
	

# data[].attributes.body
Biochemical reactions pattern of biofield treated S. aureus were studied in this research. The study was aimed to evaluate the impact of biofield treatment so that it could be used as an alternative to drug therapy in future.

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Published online October 15, 2015 (http://www.sciencepublishinggroup.com/j/ajbio)

doi: 10.11648/j.ajbio.20150306.13

ISSN: 2330-0159 (Print); ISSN: 2330-0167 (Online)

Antibiogram, Biochemical Reactions and Genotyping

Characterization of Biofield Treated Staphylococcus aureus

Trivedi Global Inc., Henderson, USA

Trivedi Science Research Laboratory Pvt. Ltd.,

Hall-A, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Rd., Bhopal, Madhya

Mahendra Kumar Trivedi, Alice Branton, Dahryn Trivedi, Gopal Nayak, Sambhu Charan Mondal, Snehasis Jana. Antibiogram, Biochemical

Vol. 3, No. 6, 2015, pp. 212-220. doi: 10.11648/j.ajbio.20150306.13

Staphylococcus aureus (S. aureus) is the key organism for food poisoning due to massive production of heat stable

(ATCC 25923) was divided into two parts, Gro up (Gr.) I: control and Gr. II: treatment. After biofield treatment, Gr. II was

further subdivided into two parts, Gr. IIA and Gr. IIB. Gr. IIA was analyzed on day 10, while Gr. IIB was stored and analyzed

on day 159 after revival (Study I). The revived sample (Gr. IIB) were retreated on day 159 ( Study II), and divided into three

separate tubes. Tube 1 was analyzed on day 5, likewise, tube 2 and 3 were analyzed on day 10 and 15, respectively. All the

experimental parameters were studied using automated MicroScan Walk-Away

system. The 16S rDNA sequencing was

carried out in Gr. II A sample to correlate the phylogenetic relationship of S. aureus with other bacterial species. T he

antimicrobial susceptibility and minimum inhibitory conc entration showed sig nificant alteration i.e. 92.8 6% and 90.00%

respectively in treated cells of S. aureus as compared to control. The biochemical reactions also showed the significant

(35.71%) alteration in treated sample with respect to control. The biotype number and microb ial species were substantially

changed in rest of the tr eated samples as compared to control (307016; S. aureus). The 16S rDNA analysis showed that the

identified strain i n this experiment was S. aureus (GenBank Accession No.: L37597) after biofield treatment. However, the

nearest homolog genus-species was found as Staphylococcus simiae (GenBank Access ion No.: DQ127902). These results

suggested that biofield treatment has a significant impact on S. aureus in lyophilized as well as revived state.

Biotype, 16S rDNA, Gram-Positive Bacteria

Staphylococci ar e the importa nt class of pyogenic Gra m-

structure. They are considered as the thi rd most important

cause of food-borne disorder s in the world [1]. It is the

main pa thogen for masti tis in the milch animals [2]. It is

estimated th at in US alone food-borne illnesses affect 6 to

80 million pe ople each yea r, causing up to 9000 deaths [3].

Based on literature various genes have been found as a

target for identifi cation o f S. aureus with the help of 16S

superoxide dismutase A (sodA) [5], and RNA polymerase B

classes of the antimicrobial agents. Pe nicillin is the drug of

choice to treat against Staphylococcus infection b ut due to

Therefore, some alternative str ategies are needed to treat

against staphylococci infections.

Complementary and Alternative Medicine (NIH/NCC AM)

electromagnetic b ased energy ther apies used to promote

American Journal of BioScience 2015; 3(6): 212-220 213

health and healing [8]. B iofield en ergy treatment has been

known as an alterna tive approach that may be useful to a lter

the sensitivit y pattern of the antimicrobia ls. Harold Saxton

Burr had performed the detailed studies on the correlation

suggested that every si ngle process in the human body had

an electrical signifi cance [9]. Theelec trical process that

happening in t he human bod y have strong relationship with

magnetic field a s requir ed by Ampere's law, whic h stated

surrounding space [ 10, 11]. Thus, the human body emits t he

electromagnetic waves in the form of bio-photons, which

surrounds the body and it is commo nly known as biofi eld.

Therefore, the biofield co nsists of a n electromagnetic field,

being generated by mo ving electrically c harged particles

(ions, cell, molecule, etc.) inside the human body. Prakash

et al. 2015, repo rted that the vari ous scientific instruments

extensively used to measure t he biofield of human body

[12]. Th us, a human has the ability to harne ss the energy

from environment or univer se and can transmit into any

living or nonliving obje ct(s) around the Globe. The objects

always receive the energy and respond into useful way that

biofield treatment. Mr. Trivedi's biofiel d treatment (T he

) has been kno wn to alter the structural,

materials science [ 13-15], improved the overall productivity

characteristics of various medicinal plants [21, 22]. Due to

25923) strain was procure d from Mic roBioLogics, Inc.,

USA and stored with proper st orage conditions until further

use. All the tested antimicr obials and biochemicals we re

biotype number were estimated with the help of Micr oScan

(Dade Behring Inc., West Sacramento, CA,

panel. The 16S r DNA sequencin g analysis was c arried out

(Bangalore Genei, Ind ia).

The impact of biofield treatment on tested bacterium S.

aureus was evaluated in two groups-

Group I: ATCC strain in lyophilized state was considered

antimicrobial sensitivity, biochemical reactions a nd biotype

number as per the standard protocol.

divided into two parts named as Gr. IIA and Gr. IIB. Both the

groups of ATCC strainof S. aureus in lyophilized state were

assigned to the Mr. Trivedi's unique biofield treatment (first

treatment). Gr. IIA was analyzed on day 10 while Gr. IIB

sample was stored in lyophil ized state for 159 days at -70ºC.

Gr. IIB was further sub-divided in two separate parts named

as Gr. IIB - Study Iand Gr. IIB - Study II.

biochemical reactions and biotyping were performed as per

The stored strai n was revived fro m -70ºC and the revived

retreatment, the s ample was sub-cult ured into three separate

tubes and analyzed on Day 5, Day 10 and Day 15 of its sub-

2.2. Biofield Treatment Strategy

The lyophilized sample of S. au reus was subjected to Mr.

retreatment on 159 days in revived state (Gr. IIB, Study I I).

In details, the treatment groups in se aled pack were handed

over to Mr. Trivedi for bio field treatmen t under laboratory

conditions. Mr. Trivedi provided the trea tment through his

energy transmission process to t he treated group without

touching the samples. After first tre atment, the analysis of

antimicrobial sensitivity along with mini mum inhibitory

concentration (MI C), biochemical re actions with bio type

protocol. W hile handing over these culture s to Mr. Trivedi

for retrea tment purp oses, op timum prec autions wer e taken

2.3. Antimicrobial Susceptibility Test

Investigation of antimicr obial susce ptibility of S. aureus

was carried o ut with the h elp of automa ted instrument,

using PBPC 20 panel. The panel

can be stored at 2 to 25ºC for analysis. T he panel was

rehydration. All opened panels were used on the same day.

The tests carried o ut on MicroScan were miniaturized of the

broth dil ution susc eptibility test that has been dehydrated.

Briefly, 0.1 mL of the stan dardized suspens ion of S. aureus

was pipetted into 25 mL of inoculum water using pluro nic

and inverted 8 t o 10 times and inoculated, rehydrated, and

Rehydration and inocu lation were perfor med using the

214 Mahendra Kumar Trivedi et al.: Antibiogram, Biochemical Reactions and Genotyping

Characterization of Biofield Treated Staphylococcus aureus

system with inoculators-D (B1013-4). 25 mL of

inoculum tray. The detailed exp erimental proced ure and

instructions. The antimicr obial susce ptibility pa ttern (S:

Susceptible, R: Resistant; and BLAC: β-lactamase positive)

antimicrobial concentr ation showing inhibitio n of growth

2.4. Biochemical Reaction Studies

using MicroScan Walk-Away

, system with PBPC 2 0 panel.

dehydration and rehydration wer e p erformed in a similar

way as mentioned in antimicrobial susceptibility assay for

2.5. Identification of Organism by Biotype Number

processed panel data report with the

help of biochemical reactions data [23, 24].

2.6. Amplification and Gene Sequencing of 16S rDNA

Genomic DNA was isolated from S. aureus cells (Gr. IIA,

sample coded as 9A) using genomic purification kit, according

to the manufacturer instructions. 16S rDNA gene (~1.5 kb)

polymerase chain reaction (PCR) using universal primers;

forward primer (5ˊ-AGAGTTTGATCCTGGCTCAG-3ˊ) and

reverse primer (3ˊ-ACGGTCATACCTTGTTACGACTT-5ˊ).

Amplified products were subjected to gel electrophoresis in

visualized under UV light in a gel documentation unit (BioRad

Laboratories, USA). The PCR amplified fragment was purified

Sequencing of amplified product was done on a commercial

basis from Bangalore Genei, India. The 16S rDNA sequences

obtained were aligned and compared with the sequences stored

in GenBank database available from National Center for

phylogenetic tree were established using MEGA3.1 molecular

3. Results and Discussion

3.1. Antimicrobial Susceptibility Test

The re sults of S. aureus susceptibility pattern and MIC

values of tested antimicrob ials after biofiel d treatment are

summarized in Table 1 and 2 respe ctively. T he data were

Antimicrobial se nsitivity assay and MIC were performed in

twenty-eight and thirty antimicrob ials respe ctively. T he

treated cells of S. aureus sho wed a significant (85.71% )

alteration (twenty- four out of t wenty-eight) in a ntimicrobial

sensitivity pa ttern from susceptible (S) to resistance (R) in

biofield t reatment a s compare d with control. However,

these twent y-four a ntimicrobials did not show any change

of sensitivity pattern on day 159 as well as in reviv ed state

twenty-eight antimicrob ials two antibiotics i.e. ampicillin

and penicillin were changed from S to β-lactamase positive

(BLAC) in lyophilized treated Gr. IIA on d ay 10 while

showed similar r esponse in res t of treated groups even af ter

second-time biofie ld treatment as compared with control. S.

penicillinase enzyme which br eakdown the β-lactam ring

present in p enems and c ephems heteronucleus [26]. Two,

out of twenty eight (7.14%) tested antimic robials such as

responses in lyop hilized treated cells (Gr. IIA) on day 10

while they exhibited susceptib le in rest of treate d samples

of S. aureus. Over all, 9 2.86% antimicrobial susceptibi lity

pattern was altered after bio field treat ment as compared to

cephalothin, chlo ramphenicol, cip rofloxacin, gati floxacin,

synercid showed an alter ation about two-fold in Gr. IIA on

day 10 as compared to control. Th e MIC value of

unchanged in rest of the groups as compar ed to control.

Certain antimicrobials such as erythromycin, oxacillin and

thirty two-fold (≤0.25 to >8 µg/mL) and penicillin showed

around two hundred sixty seven-fold (≤0.0 3 to >8 µg/mL)

alteration of MIC values in Gr. IIA on day 10 as compared to

sulfamethoxazole were slightly altered the MIC values in Gr.

IIA on day 10. Overall, 90% out of thirty tested

compared to control. Three out of thirty (10%) antimicrobials

did not show any alteration of MIC values in all the treated

groups as compared to control (Table 2) except piperacillin /

antimicrobial resistance pattern (S to R) and corresponding

MIC values were significantly alte red in lyophilized strain S.

aureus after first-time biofi eld treatment as compared to

3.2. Biochemical Reactions Studies

Data obtained from bioch emical reactio ns studies for

distinction o f S. aureus are illustrated in Table 3. Study of

enzymatic and metabolic chara cteristic feature of microbes.

# data[].attributes.attachment_link.authors[].name
Mahendra Kumar Trivedi, Alice Branton, Dahryn Trivedi, Gopal Nayak, Sambhu Charan Mondal, Snehasis Jana

# data[].attributes.attachment_link.title
Antibiogram, Biochemical Reactions and Genotyping Characterization of Biofield Treated Staphylococcus aureus - PdfSR.com

# data[].attributes.attachment_link.description
Staphylococcus aureus (S. aureus) is the key organism for food poisoning due to massive production of heat stable exotoxins. The current study was attempted to investigate the effect of Mr. Trivedi's biofield treatment on S. aureus. S. aureus (ATCC 25923) was divided into two parts, Group (Gr.) I: control and Gr.

# data[].attributes.headline
	
	
	
	
	Biofield Impact on Genotyping Characterization of S. Aureus
	

# data[].attributes.subject
	
	
	
	
	Biofield Impact on Genotyping Characterization of S. Aureus
	

# data[].attributes.body
Biofield treatment has the ability to alter the genotyping characterization of antimicrobials. The biofield can be an alternative approach than the existing antimicrobial therapy in near future.

# data[].attributes.attachment_link.title
"Antibiogram, Biochemical Reactions and Genotyping Characterization of Biofield Treated Staphylococcus aureus" by Mahendra Kumar Trivedi

# data[].attributes.attachment_link.description
Staphylococcus aureus (S. aureus) is the key organism for food poisoning due to massive production of heat stable exotoxins. The current study was attempted to investigate the effect of Mr. Trivedi's biofield treatment on S. aureus. S. aureus (ATCC 25923) was divided into two parts, Group (Gr.) I: control and Gr.

# data[].attributes.headline
	
	
	
	
	 Investigation of Antimicrobial Susceptibility of Biofield Treated S. Aureus
	

# data[].attributes.subject
	
	
	
	
	 Investigation of Antimicrobial Susceptibility of Biofield Treated S. Aureus
	

# data[].attributes.body
Investigation of antimicrobial susceptibility of S. aureus was carried out with the help of automated instrument, MicroScan Walk-Away® to evaluate the impact of biofield treatment on S. aureus.

# data[].attributes.headline
	
	
	
	
	 Impact of Biofield Treatment on Staphylococcus Aureus’ Characteristics
	

# data[].attributes.subject
	
	
	
	
	 Impact of Biofield Treatment on Staphylococcus Aureus’ Characteristics
	

# data[].attributes.body
Read here the impact of biofield treatment on the characteristics feature of Staphylococcus aureus. The results of this study suggest that the biofield treatment can alter the characteristics of S. aureus.

# data[].attributes.attachment_link.title
Antibiogram, Biochemical Reactions and Genotyping Characterization of Biofield Treated Staphylococcus aureus

# data[].attributes.attachment_link.description
Staphylococcus aureus (S. aureus) is the key organism for food poisoning due to massive production of heat stable exotoxins. The current study was attempted to investigate the effect of Mr. Trivedi's biofield treatment on S. aureus. S. aureus (ATCC

# data[].attributes.headline
	
	
	
	
	 Biofield Treatment & Biochemical Reactions Pattern of S. Aureus
	

# data[].attributes.subject
	
	
	
	
	 Biofield Treatment & Biochemical Reactions Pattern of S. Aureus
	

# data[].attributes.body
The biochemical reactions pattern of S. aureus showed the significant 35.71% alteration when treated with biofield energy as compared to the untreated samples. Visit for more information.

# data[].attributes.headline
	
	
	
	
	Genotyping Characterization of Biofield Treated Staphylococcus Aureus
	

# data[].attributes.subject
	
	
	
	
	Genotyping Characterization of Biofield Treated Staphylococcus Aureus
	

# data[].attributes.body
This study shows the impact of biofield treatment on antibiogram, biochemical reactions and genotyping characterization of biofield treated Staphylococcus aureus. Read here for more details.

# data[].attributes.headline
	
	
	
	
	Biochemical Studies of Antibiogram of MDR Isolates of P. Aeruginosa
	

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	Biochemical Studies of Antibiogram of MDR Isolates of P. Aeruginosa
	

# data[].attributes.body
Biochemical study of antibiogram of MDR Isolates of P. aeruginosa showed a 48.48% change in tested biofield treated biochemical reactions out of 33 as compared to untreated samples.

# data[].attributes.attachment_link.readable_text
Please enable JavaScript to view the comments powered by Disqus.

Antibiogram of Multidrug-Resistant Isolates of Pseudomonas aeruginosa after

1Trivedi Global Inc., 10624 S Eastern Avenue Suite A-969, Henderson, NV 89052, USA

2Trivedi Science Research Laboratory Pvt. Ltd, Chinar Mega Mall, Chinar Fortune City, Hoshangabad Road, Madhya Pradesh, India

Copyright:© 2015 Trivedi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use,

distribution, and reproduction in any medium, provided the original author and source are credited.

In recent years, prevalence of multidrug resistance (MDR) in Pseudomonas aeruginosa (P. aeruginosa) has been

noticed with high morbidity and mortality. Aim of the present study was to determine the impact of Mr. Trivedi's

biofield treatment on MDR clinical lab isolates (LS) of P. aeruginosa. Five MDR clinical lab isolates (LS 22, LS 23, LS

38, LS 47, and LS 58) of P. aeruginosa were taken and divided into two groups i.e. control and biofield treated.

Control and treated group were analyzed for antimicrobial susceptibility pattern, minimum inhibitory concentration

(MIC), biochemical study and biotype number using MicroScan Walk-Away® system. The analysis was done on day

10 after biofield treatment as compared with control group. Antimicrobial sensitivity assay showed 60% alteration in

sensitivity of tested antimicrobials in MDR isolates of P. aeruginosa after biofield treatment. MIC results showed an

alteration in 42.85% tested antimicrobials out of twenty eight after biofield treatment in five isolates of MDR P.

aeruginosa. Biochemical study showed a 48.48% change in tested biochemical reactions out of thirty three as

compared to control. A significant change in biotype numbers was reported in three clinical lab isolates of MDR P.

aeruginosa out of five, after biofield treatment as compared to respective control. On the basis of changed biotype

number (7302 0052) in biofield treated LS 23, new organism was identified as Citrobacter freundii as compared to

control (0206 3336). A very rare biotype number (7400 4263) was found in biofield treated LS 38, as compared to

control (0206 3736). Study results suggest that biofield treatment on lab isolates of MDR P. aeruginosa has

significant effect on the antimicrobial sensitivity, MIC values, biochemical reactions and biotype number. Biofield

treatment might prevent the emergence of absolute resistance pattern of useful antimicrobials against MDR isolates

; Bioeld treatment; Multidrug-

resistant; Antimicrobial susceptibility; Biochemical reaction; Biotyping

Antimicrobial agents are widely used therapeutic option against

infections caused by pathogenic microbes. However, through dierent

strategies and mechanism, these microorganisms combat the eect of

antimicrobial agents, as multidrug resistant (MDR) clinical strains are

the best example world-wide.

is a ubiquitous, gram-negative bacterium and versatile opportunistic

pathogen, associated with nosocomial infections along w ith other

serious implications with high rate of morbidity and mortality [1].

Increasing resistant towards the available antimicrobials preclude the

eectiveness of any antimicrobial regimen [2,3]. B ecause of increasing

P.

isolates in health care setting, infections are

dicult to treat, causing life threating conditions [4].

one of the major pathogen related with hospital acquired infections

nosocomial infection surveillance system of center for disease control

is se cond most common cause of

nosocomial pneumonia, third most common in nosocomial urinary

bacteraemia [6]. MDR mechanism in

acquisition of resistance genes (β-lactamases) or b ecause of amino-

mutation involved against antimicrobials [8].

Despite of several advances in medical sciences, ne w generation

inhibiting the growth of bacterial cultures [10]. Bioeld is the name

surrounds living organisms. However, the energy can exists in several

forms such as kinetic, potential, electrical, magnetic, and nuclear.

chemical information in the form of electr ical signals. us, human

has the ability to harness the energy from environment or universe and

can transmit into any living or nonliving object(s) around the globe.

e objects always receive the energy and responding into useful way

[11,12], but very less controlled and experimental studies on bioeld

According to law of mass-energy inter-conversion [14], the conversion

of mass into energy is well stabilized, but its inversion

mass has not yet proved scientically. Whenever electrical signals

uctuate with time, the magnetic eld generates as per the Ampere-

Maxwell law, and cumulatively known as electromagnetic eld. Mr.

physicochemical and atomic characteristics of various materials. Mr.

Infectious Diseases & TherapyTrivedi et al., J Infect Dis Ther 2015, 3:5

http://dx.doi.org/10.4172/2332-0877.1000244

Research ArticleOpen Access

ISSN:2332-0877 JIDT, an open access journalVolume 3 * Issue 5 * 1000244

Trivedi's bioeld treatment had been studied and reported in altering

the antimicrobial susceptibility and biochemical reactions of microbes

against tested antimicrobials [15-17]. It has also signicantly reported

in eld of material science [18-20]. Bioeld treated crops had been

reported for a signicant change on growth, characteristics and yield of

plants [21-24]. Present study reports the impact of bioeld treatment

, for its antimicrobial susceptibility

biochemical reactions, and biotyping.

Experimental design and bioeld treatment

MDR clinical lab isolates (

LS 22, LS 23, LS 38, LS 47, and LS 58)

Microbiology Lab, Hinduja Hospital, Mumbai. Each MDR lab isolates

was divided into two groups

control and treatment. Treatment

group, in sealed pack were handed over to Mr. Trivedi for bioeld

treatment through his energy transmission process to the treated

were returned in the similar sealed condition for further analysis on

reactions, and biotype number were measured by MicroScan Walk-

Away® (Dade Behring Inc., USA) with respect to control group. All

antimicrobials and biochemicals were procured from Sigma-Aldrich,

USA.

Evaluation of antimicrobial susceptibility assay

P.

was studied using MicroScan Walk-Away® using Negative

Break Point Combo (NBPC 30) panel as per manufacturer's

instructions. e antimicrobial susceptibility pattern (S: Susceptible, I:

Intermediate, IB: Inducible β-lactamase; and R: Resistant) and MIC

concentration showing growth inhibition [25]. e antimicrobials used

in the susceptibility assay viz. amikacin, amoxicillin/K-clavulanate,

clavulanate, tobramycin, and trimethoprim/sulfamethoxazole.

determined by MicroScan Walk-Away® using NBPC 30 panel system in

both control and t reated groups [25]. Biochemicals used in the study

are acetamide, adonitol, arabinose, arginine, cetrimide, cephalothin,

citrate, colistin, esculin hydrolysis, nitrofurantoin, glucose, hydrogen

penicillin, ranose, rhamnose, sorbitol, sucrose, t artrate, tryptophan

deaminase, tobramycin, urea, and Voges-Proskauer.

Identication by biotype number

e biotype number of MDR isolates of

treated sample were determined followed by identication of

microorganism by MicroScan Walk-Away® processed panel data report

with the help of biochemical reaction data [25].

Antimicrobial susceptibility pattern

e sensitivity pattern of MDR isolates of

pseudomonal antimicrobials agents are demonstrated in Table 1. All

Aztreonam (R → I in LS 22), cefepime (R → S in LS 23 and R → I in LS

47), imipenem (R → I in LS 58) and meropenem (R → S in LS 23 and R

→ I in LS 58) showed increased antimicrobial sensitivity pattern aer

antimicrobials also showed decrease in MIC values in treated group

ceriaxone antimicrobials changed from R → IB, while piperacillin

changed from IB → R and ticarcillin/K-clavulanate changed from IB →

I in LS 23. Antimicrobial sensitivity pattern of bioeld treated LS 38

piperacillin/tazobactam, and ticarcillin/K-clavulanate, and in case of

aztreonam and ceriaxone sensitivity changed from I → R, while S → R,

in case of cefepime. Bioeld treated LS 47 showed changed sensitivity

ticarcillin/K-clavulanate antimicrobials. Piperacillin showed changed

antimicrobial sensitivity pattern from R → IB in bioeld treated LS 58.

tobramycin antimicrobials did not show any change in sensitivity

pattern in bioeld treated clinical isolates of

AmikacinR RS S R R R R R R

CiprofloxacinR RR R R R R R R R

GentamicinR RR R R R R R R R

LevofloxacinR RR R R R R R R R

Piperacillin/tazobactamR R IB IB IB R R IB IB IB

Citation: Trivedi MK, Branton A, Trivedi D, Nayak G, Shettigar H, et al. (2015) Antibiogram of Multidrug-Resistant Isolates of Pseudomonas

ISSN:2332-0877 JIDT, an open access journalVolume 3 * Issue 5 * 1000244

TobramycinR RR R R R R R R R

C: Control; T: Treatment; LS: Lab Isolate; R: Resistant; I: Intermediate; S:

Susceptible; IB: Inducible β-lactamases

multidrug resistant isolates of

P.

. Increasing antimicrobial resistance against various anti-

pseudomonal drugs in clinical isolates, has been reported world-wide

[26,27] which leads to a serious therapeutic problem. e resistance

showed varying degrees of resistance to

imipenem in recent years [28]. Obritsch

were well supported with literature data [29].

imipenem, and meropenem, antimicrobial sensitivity was improved

aerbioeld treatment in clinical MDR isolates.

Determination of minimum inhibitory concentration

MIC values of all the clinical MDR is olates of control and bioeld

are summarized in Table 2. O verall, 13 out of 28

tested antimicrobial (42.85%) reported with altered MIC values aer

bioeld energy treatment in clinical MDR isolates of

MIC values were decreased four fold in ceriaxone (less than equal to

8 µg/ml) and two fold in six antimicrobials

treatment in LS 23 isolate. Other isolates were also showed decreased

MIC values in tested antimicrobials such as aztreonam (16 µg/ml in LS

22), cefepime (16 µg/ml in LS 47), imipenem (8 µg/ml in LS 58),

meropenem (8 µg/ml in LS 58), nitrofurantoin (64 µg/ml in LS 23),

piperacillin/tazobactam (64 µg/ml in LS 47), and piperacillin (64 µg/ml

increased MIC values in treated LS 38. Piperacillin (in LS 23) and

ticarcillin/K-clavulante (in LS 47) also showed slight increase in MIC

values as compared to control (Table 2). Rest of antimicrobials did not

Amoxicillin/K-clavulanate>16/8 >16/8 >16/8 >16/8 >16/8 >16/8 >16/8 >16/8 >16/8 >16/8

Ampicillin/sulbactam>16/8 >16/8 >16/8 >16/8 >16/8 >16/8 >16/8 >16/8 >16/8 >16/8

Ampicillin>16 >16 >16 >16 >16 >16 >16 >16 >16 >16

Cefazolin>16 >16 >16 >16 >16 >16 >16 >16 >16 >16

Cefotaxime>32 >32 >32 >32 >32 >32 >32 >32 >32 >32

Cefoxitin>16 >16 >16 >16 >16 >16 >16 >16 >16 >16

Cefuroxime>16 >16 >16 >16 >16 >16 >16 >16 >16 >16

Cephalothin>16 >16 >16 >16 >16 >16 >16 >16 >16 >16

Ciprofloxacin>2 >2 >2 >2 >2 >2 >2 >2 >2 >2

Gentamicin>8 >8 >8 >8 >8 >8 >8 >8 >8 >8

Levofloxacin>4 >4 >4 >4 >4 >4 >4 >4 >4 >4

Citation: Trivedi MK, Branton A, Trivedi D, Nayak G, Shettigar H, et al. (2015) Antibiogram of Multidrug-Resistant Isolates of Pseudomonas

ISSN:2332-0877 JIDT, an open access journalVolume 3 * Issue 5 * 1000244

# data[].attributes.attachment_link.title
Antibiogram of Multidrug-Resistant Isolates of Pseudomonas aeruginosa after Biofield Treatment - PdfSR.com

# data[].attributes.attachment_link.description
In recent years, prevalence of multidrug resistance (MDR) in Pseudomonas aeruginosa (P. aeruginosa) has been noticed with high morbidity and mortality. Aim of the present study was to determine the impact of Mr. Trivedi's biofield treatment on MDR clinical lab isolates (LS) of P. aeruginosa.

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	Biofield Impact on Biochemical Characteristics of P. Aeruginosa
	

# data[].attributes.subject
	
	
	
	
	Biofield Impact on Biochemical Characteristics of P. Aeruginosa
	

# data[].attributes.body
Experimental results of biofield impact showed altered biochemical characteristics of P. aeruginosa. It positively affects the antimicrobial sensitivity, MIC values, biochemical reactions & biotype number of MDR Isolates of P. aeruginosa.

# data[].attributes.attachment_link.keywords[]
multidrug resistant isolates of pseudomonas aeruginosa

# data[].attributes.attachment_link.keywords[]
biochemical studies of mdr isolates of p. aeruginosa

# data[].attributes.attachment_link.title
"Antibiogram of Multidrug-Resistant Isolates of Pseudomonas aeruginosa after Biofield Treatment" by Mahendra Kumar Trivedi

# data[].attributes.attachment_link.description
In recent years, prevalence of multidrug resistance (MDR) in Pseudomonas aeruginosa (P. aeruginosa) has been noticed with high morbidity and mortality. Aim of the present study was to determine the impact of Mr. Trivedi's biofield treatment on MDR clinical lab isolates (LS) of P. aeruginosa.

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	 Biofield Study of Pseudomonas Aeruginosa
	

# data[].attributes.subject
	
	
	
	
	 Biofield Study of Pseudomonas Aeruginosa
	

# data[].attributes.body
Trivedi’s biofield treatment had been studied and reported in altering the antimicrobial susceptibility and biochemical reactions in clinical MDR lab isolates of P. aeruginosa.

# data[].attributes.headline
	
	
	
	
	biofield & Biochemical Characteristics of Pseudomonas Aeruginosa
	

# data[].attributes.subject
	
	
	
	
	biofield & Biochemical Characteristics of Pseudomonas Aeruginosa
	

# data[].attributes.body
Biofield treatment on lab isolates of MDR P. aeruginosa has significant effect on the biochemical characteristics of Pseudomonas Aeruginosa. Read here for more details.

# data[].attributes.attachment_link.title
Antibiogram of Multidrug-Resistant Isolates of Pseudomonas aeruginosa after Biofield Treatment

# data[].attributes.attachment_link.description
In recent years, prevalence of multidrug resistance (MDR) in Pseudomonas aeruginosa (P. aeruginosa) has been noticed with high morbidity and mortality. Aim of the present study was to determine the impact of Mr. Trivedi's biofield treatment on MDR

# data[].attributes.headline
	
	
	
	
	Biochemical Tests on Pseudomonas Aeruginosa
	

# data[].attributes.subject
	
	
	
	
	Biochemical Tests on Pseudomonas Aeruginosa
	

# data[].attributes.body
Biochemical tests or studies of MDR isolates of P. aeruginosa were determined by MicroScan Walk-Away® in both Biofield treated and untreated samples to identify the impact of Biofield effect.

# data[].attributes.headline
	
	
	
	
	 Biofield Impact on MDR Isolates of Pseudomonas Aeruginosa 
	

# data[].attributes.subject
	
	
	
	
	 Biofield Impact on MDR Isolates of Pseudomonas Aeruginosa 
	

# data[].attributes.body
The aim of this study is to determine the impact of Mr. Trivedi’s biofield treatment on MDR clinical lab isolates (LS) of P. aeruginosa. Follow the link for more information.

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	Parameters for the Quality of Soybean Seeds and Soybean Productivity
	

# data[].attributes.subject
	
	
	
	
	Parameters for the Quality of Soybean Seeds and Soybean Productivity
	

# data[].attributes.body
In a study the Soybean samples were successfully tested on different parameters of quality of soybean seeds and soybean productivity with Biofield treatment.

# data[].attributes.attachment_link.keywords[]
indole acetic acid content in cotton seeds

# data[].attributes.attachment_link.title
"Biofield and Fungicide Seed Treatment Influences on Soybean Productivity, Seed Quality and Weed Community" by Mahendra Kumar Trivedi

# data[].attributes.attachment_link.description
Soybean production in Iowa USA is among the most productive for raínfed regions in the world. Despite generally having excellent soils, growing season temperatures and rainfall, soybean yields are decreased by weed interference and inadequate available soil water at key stages of crop development.

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	Soybean Seed Treatment for Increasing the Productivity
	

# data[].attributes.subject
	
	
	
	
	Soybean Seed Treatment for Increasing the Productivity
	

# data[].attributes.body
Biofield Soybean Seed Treatment is a science that can be used as an alternative treatment in soybean production systems.

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		Parameters for the quality of soybean seeds
	

# data[].attributes.subject
	
	
	
	
	
		Parameters for the quality of soybean seeds
	

# data[].attributes.body
Biofield Treatment applied Soybean Seeds resulted improved results on various parameters for the Quality of Soybean Seeds. Visit the links here for more details.

# data[].attributes.attachment_link.title
Biofield and Fungicide Seed Treatment Influences on Soybean Productivity, Seed Quality and Weed Community

# data[].attributes.attachment_link.description
Soybean production in Iowa USA is among the most productive for rainfed regions in the world. Despite generally having excellent soils, growing season temperatures and rainfall, soybean yields are decreased by weed interference and inadequate

# data[].attributes.headline
	
	
	
	
	Nutrient Value of Soybean, Soybean Fungicide Seed Treatment
	

# data[].attributes.subject
	
	
	
	
	Nutrient Value of Soybean, Soybean Fungicide Seed Treatment
	

# data[].attributes.body
The application of Biofield Treatment on Soybean resulted better nutrient value of Soybean and improved soybean productivity. Follow the link for more information.

# data[].attributes.headline
	
	
	
	
	 Biofield & Fungicide Seed Treatment
	

# data[].attributes.subject
	
	
	
	
	 Biofield & Fungicide Seed Treatment
	

# data[].attributes.body
Biofield & Fungicide Seed Treatment was applied on Soybean seeds to determine the inﬂuences of Soybean productivity, seed quality and Weed Community. Visit for more details.

# data[].attributes.headline
	
	
	
	
	 Soybean Seed Treatment & Soybean Productivity
	

# data[].attributes.subject
	
	
	
	
	 Soybean Seed Treatment & Soybean Productivity
	

# data[].attributes.body
Soybean seed treatment using Biofield energy resulted better soybean productivity in a recent research. Read here a comparative study.

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Biofield and Fungicide Seed Treatment Influences on Soybean Productivity,Seed Quality and Weed Community

Soybean production in Iowa USA is among the most productive for rainfed regions in the world. Despite generally having excellent soils, growing season temperatures and rainfall, soybean yields are decreased by weed interference and inadequate available soil water at key stages of crop development. A field study was conducted at two locations in Iowa in 2012 to determine if seed-applied fungicide or biofield treatments influenced weed community, soil volumetric water concentration and soybean yield and quality. Application of biofield treatment resulted in lower density of tall waterhemp density, greater soybean stand density at R8 stage and greater seed pod-1 compared to the absence of seed fungicide and biofield. Soil volumetric water content varied by seed fungicide x biofield x date interaction but differences were not consistent among treatment combinations. Overall, seed fungicide and biofield treatments had similar effects on soybean productivity, however additional research is necessary to determine if biofield treatment is a suitable replacement for seed fungicide application.

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Biofield and Fungicide Seed Treatment Influences on Soybean Productivity,Seed Quality and Weed Community - PdfSR.com

# data[].attributes.attachment_link.description
Soybean production in Iowa USA is among the most productive for rainfed regions in the world. Despite generally having excellent soils, growing season temperatures and rainfall, soybean yields are decreased by weed interference and inadequate available soil water at key stages of crop development.

# data[].attributes.headline
	
	
	
	
	
		Increasing Chlorophyll Content in Tomato Plant
	

# data[].attributes.subject
	
	
	
	
	
		Increasing Chlorophyll Content in Tomato Plant
	

# data[].attributes.body
Biofield treatment was applied on tomato plant to study the effects on its characteristics. The energy treatment resulted increased chlorophyll content.

# data[].attributes.attachment_link.title
"Impact of Biofield Treatment on Growth and Yield of Lettuce and Tomato" by Mahendra Kumar Trivedi

# data[].attributes.attachment_link.description
Recent studies report the effect of biofield treatment on changes in structural characteristics of organic and inorganic matter, on cancer cells in vitro and on overall plant development. This study tested the impact of the same treatment applied to lettuce and tomato seeds and transplants (Lactuca sativa var. capitata and Lycopersiconesculentum var.

# data[].attributes.headline
	
	
	
	
	Spad Value Chlorophyll Content, Chlorophyll Content Meter
	

# data[].attributes.subject
	
	
	
	
	Spad Value Chlorophyll Content, Chlorophyll Content Meter
	

# data[].attributes.body
Read here the effect of biofield treatment on tomato and lettuce. The Spad Value chlorophyll content meter was used to measure the chlorophyll content of samples during the analysis.

# data[].attributes.attachment_link.title
Impact of Biofield Treatment on Growth and Yield of Lettuce and Tomato

# data[].attributes.attachment_link.description
Recent studies report the effect of biofield treatment on changes in structural characteristics of organic and inorganic matter, on cancer cells in vitro and on overall plant development. This study tested the impact of the same treatment applied

# data[].attributes.headline
	
	
	
	
	 Chlorophyll Content Meter, Spad Value Chlorophyll Content
	

# data[].attributes.subject
	
	
	
	
	 Chlorophyll Content Meter, Spad Value Chlorophyll Content
	

# data[].attributes.body
Chlorophyll content when measured using a Spad Value chlorophyll content meter in biofield treated samples of tomato and lettuce samples, shows better results compared to the untreated samples.

# data[].attributes.headline
	
	
	
	
	Increasing Tomato Yield, Chlorophyll Content in Tomato Plant
	

# data[].attributes.subject
	
	
	
	
	Increasing Tomato Yield, Chlorophyll Content in Tomato Plant
	

# data[].attributes.body
A recent study suggest that the biofield treatment can be applied for increasing tomato yield and also the quality of tomato. Higher leaf tissue chlorophyll content was measured in treated tomato and lettuce plants.

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Australian Journal of Basic and Applied Sciences, 6(10): 100-105, 2012

Corresponding Author: Shrikant Patil, Trivedi Foundation, Scottsdale, AZ, USA.

Impact of Biofield Treatment on Growth and Yieldof Lettuce and Tomato

1Vishal Shinde, 1Frank Sances, 2Shrikant Patil and 1Amy Spence

1Pacific Ag Research, San Luis Obispo, CA, USA.

Abstract: Recent studies report the effect of biofield treatment on changes in structural characteristics

of organic and inorganic matter, on cancer cells in vitro and on overall plant development. This study

tested the impact of the same treatment applied to lettuce and tomato seeds and transplants (Lactuca

sativa var. capitata and Lycopersiconesculentum var. Roma) in commercial plantings with and without

fertilizers and pesticides, in relation to yield, quality, and pest inhibition. Treated lettuce plants with

fertilizer and pesticide applications were more vigorous, exhibited less incidence of soil-borne fungal

wilt, and subsequent yield was statistically greater 43% compared to untreated plants. Treated plants

with no fertilizer or pesticide applications in the field behaved similarly to untreated plants that

received routine fertilizer and pest control inputs. Similarly, fertilizer applied and fertilizer non-applied

treated tomato plants exhibited a 25% and 31% increase in total observable yields respectively. Treated

tomato and lettuce plants also measured higher in total leaf tissue chlorophyll content. The

combination of biofield treatment along with administration of chemical additives demonstrated the

best results with statistically increased yields and higher pest resistance in both test cropping systems.

The specific mechanisms that lead to these preliminary results have yet to be determined.

Key words: Crop development;Biofield treatment; Fertilizer and Organic; Lettuce; Tomato.

Information-containing biofield energies have been postulated to be associated with living organisms and to

affect their self-regulation processes (Rubik, 2002). Recent studies by Trivedi and Tallapragada (2008, 2009)

present enhanced and lasting transformations seen in the physical and structural properties of organic and

inorganic materials which were the effect of consciousness energy when transmitted using specific techniques.

These authors report that elemental diamond, graphite and activated charcoal powders showed measureable and

significant changes in their molecular structure, and go on to suggest that thebiofield energy may involve

electromagnetic and weak interactions.Dabhadeet al. (2009) suggest thatmeasurable changes in particle size and

hence surface area as well as crystallite size of two test substances, antimony and bismuth metal powders,which

they observed as a consequence of a similar treatment,was due to increased energy states caused within the

treated substances.Trivedi and Patil (2011) reported multiple year results on Alphonso Mangos in Asia. The

mango study showed yield increases and pest infestation decreases over a four year time period versus control

trees which on the contrary showed lower yields and increased pest pressure. More recently the biofield energy

was tested on Patchouli micropropagation (Patilet al., 2012) where it was reported to increase regeneration and

cause an overall improvement in plant health. In related studies, the biofield energy was reported to impact

cancer cells in vitro (Yount et al., 2012).The studies on living organisms are able to probe more relevant aspects

of the information content in biofield energies, in order to establish both the reality of the impact as well as its

nature. However, both the in vitro studies were in protected environments showing variability in the results. It

can be expected that adaptive forces would bebetter testedin vivo in the field where the normal challenge of the

environment is experienced and the informational integrity of the organism is also maintained. The nature of

thebiofield energy in these experiments may be expected to produce more well-defined results under such

conditions. However, the mango study was performed on a pre-existing pest infested mango orchard and does

not document the results of systematic treatment under a variety of conditions.

Although science has earlier tested such energies in plants, in the above-mentioned studies the scientific

facts to support such claimsare for the first time seeingreproducible and significant results in experimental

observations. The source of biofield energy treatments are those of an internationally reputed energy healer

whose name is here withheld according to recommended best scientific practice, but can be provided on demand

for replication experiments. While any improvement in human health under such interaction can be accounted

for by the placebo effect, such results in plant systems indicate some basic properties of living organisms which

need to be noted. An understanding of the energy and its use can help improve the environmental conditions

during plant cultivation.In this paper we report on the observed results of crop quality and yield of treated and

untreated tomato and lettuce plantings in organic conditions and in the presence of needbase fertilizers and

pesticides applied according to standard procedure. Scientific mechanismsare not here speculated upon; at this

Aust. J. Basic & Appl. Sci., 6(10): 100-105, 2012

stage we report the positive results observed in our experiments. Further experimentation is necessary in order to

generate the hypotheses regarding underlying mechanisms.

The objective was to conduct a blind study to determine the potential influence of biofield therapy on

growth & development of lettuce & tomato in commercial plantings and to systematically compare the effects

with and without application of fertilizers and pesticides.The treated and untreated plants were planted in plots

in randomized fashion and the location of treated plants remained undisclosed to evaluators during the study.

Seeds were treated and allowed to germinate until ready to be transplanted. The seedlings were treated

again, transplanted into an open field, and allowed to develop according to the season. As a control, untreated

seeds were allowed to germinate in the same manner and transplanted alongside the treated plots in a

randomized fashion. Needbase fertilizers and pesticides were applied onto one set of plots with transplants from

both untreated and treated seeds. Another set of plots for both untreated and treated transplants did not receive

The Biofield treatment was applied for about 3 minutes from a distance of about 1 meter from the samples.

The energy source individual was escorted to the laboratory for treating seeds and to the field for tre ating

transplants, was seated on a chair at the given distance from the material to be treated, and was observed to

focus concentrated thought outwardly towards the seeds or plants ready to be transplanted. The untreated

samples were not in the same room or plot at the time.Each treated set received the treatment twice, the seeds

once before being germinated and the resulting plants 53 days later just before they were transplanted in the

Treated and untreated lettuce plants were planted in separate randomly allocated plots in five replicates

measuring 3.33' by 60' on clay loam soil.Treated and untreated tomato plants were similarly planted in separate

plots measuring 6.66' by 50' on sandy loam soil.Plots were hand transplanted, hand harvested, and drip

Needbase fertilizer and pesticide applications:

Fertilizer 18:6:12 was applied at a rate of 600 lb/a slow release pre-planting.The following pesticides were

applied 18 days after transplanting (DAT): (a) Endura at a rate of 11 oz/a for the purpose of controlling

controlling Downy Mildew (Bremialactucae ). (c) Maneb at a rate of 2 lb/a for the purpose of controlling Downy

Fertilizer 18:6:12 was applied at a rate of 600 lb/a slow release pre-planting.Fertilizer 7:7:7 was applied at

45, 52, 59, 66, and 80 DAT at a rate of 20 gal/a. The following pesticides were applied: (a) Bravo Weatherstik at

a rate of 1.5 pt/a for the purpose of controlling Late Blight (Phytophthorainfestans ) on 63, 84, and 90 DAT. (b)

Quadris at a rate of 10.5 oz/a for the purpose of controlling Powdery Mildew (Oidiumneolycopersici ) on 63, 84,

and 90 DAT. (c) Ran-man at a rate of 3.0 floz/a for the purpose of controlling Late Blight

(Phytophthorainfestans ) on 114 and 121 DAT.

All evaluations were carried out in blinded fashion, with assessors unaware of the location of treated plants.

at 21, 35, 50, and 56 DAT. Stand reduction was calculated using the formula:

Percent reduction in stand=100 x (Reduced Stand / Original Stand)

Chlorophyll content was measured using a spad meter (Spectrum Technologies, Inc., Plainfield, IL) from 10

plants per replicate plot at 32 DAT.Lettuce heads were harvested 56 days after transplanting, and were assessed

for marketable quality and size based on market standards.

Aust. J. Basic & Appl. Sci., 6(10): 100-105, 2012

Crop vigor and stand counts were assessed at 41 DAT and plants measured for height and diameter.

Chlorophyll content wasmeasured at 89 DAT, just before start of harvesting, using a spad meter,from 10 plants

per replicate plot. Tomatoes were harvested over the course of seven pickings between104 t o 126 days after

transplantingand were assessed for marketable quality and size based on market standards.Roots from ten

tomato plants were analyzed for severity of Nematode infection based on a 0-10 scale with 10 representing

maximum severity and lycopene content was assessed at 129 DAT.

Wilted plants and stand reduction results by treatment are presented in Table 1. Biofield treated seeds with

fertilizers/pesticides (TF) showed the lowest amount of total wilted plants per replicate plot.This resulted in the

lowest stand reduction, 14.2%, in comparison to control seeds with fertilizers/pesticides (CF) at 27%.Although

both control and biofieldtreated seeds without fertilizers/pesticides (designated C and T, respectively) showed

similar wilted plants to the CF, the percent loss of stands in T plots were statistically similar to CF plots,

suggesting that the externally applied energy created healthier and more vigorous plants, abl e to withstand

unaltered field conditions. Figure 1 shows the differences in chlorophyll content between treatments. TF and T

plots were observed to have statistically higher chlorophyll content than CF and C treatments.Chlorophyll

content is largely determined by plant nutrition, health status, and exposure to sunlight (i.e. conversion of

protochlorophyllide to chlorophyll); however, all plants in the study received the same amount of sun exposure,

suggesting that the energy treatment had changed certain physiological processes which are beyond the scope of

this study. TF plots were observed to have the greatest number and weight of marketable lettuce heads than any

other treatment, and a greater amount of large (18s) and medium (24s) heads were harvested from these plots as

well (Table 2). TF and CF received the same amounts and types of fertilizers and pesticides, yet yield and

quality was approximately 43% greater in the TF plots. Further, Figure 2 shows that the TF treatment resulted in

a statistically higher total of percent marketable heads compared to all other treatments. If the energy transmitted

is generating change in metabolic processes to the plants, this may explain why TF plots exceeded yield and

quality amounts of T plots, enabling a greater intake of fertilizer nutrients and thereby creating stronger and

Table 1: The number of wilted plants and total stand reduction of control and treated lettuce plants. Means followed by the same letter do

not differ. (Fisher's LSD test).

Wilted Plants (#) Stand Reduction

Control with no fertilizers or pesticides

Control with needbase fertilizers and

5.00 a 6.60 a 12.00 b 6.00 a 29.60 a 26.73 b

Treated with no fertilizers or pesticides

5.40 a 9.80 a 15.20 ab 1.40 b 31.80 a 29.07 b

Treated with needbase fertilizers and

3.80 a 3.20 a 5.40 c 0.80 b13.20 b 14.22 c

Table 2: The number (a) and weight in kg (b) of marketable lettuce heads harvested. Means followed by the same letter do not differ.

(a) Marketable Lettuce Heads #

(b) Marketable Lettuce Heads (kg)

# data[].attributes.attachment_link.title
Impact of Biofield Treatment on Growth and Yieldof Lettuce and Tomato - PdfSR.com

# data[].attributes.attachment_link.description
Recent studies report the effect of biofield treatment on changes in structural characteristics of organic and inorganic matter, on cancer cells in vitro and on overall plant development. This study tested the impact of the same treatment applied to lettuce and tomato seeds and transplants (Lactuca sativa var. capitata and Lycopersiconesculentum var.

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	Poultry Farming Project - The Trivedi Effect
	

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	Poultry Farming Project - The Trivedi Effect
	

# data[].attributes.body
The poultry farming project was aimed to improve the Health, Weight and Food intake of chicken with the help of biofield energy. The energy treatment could be used in poultry farm business plan for poultry raising.

# data[].attributes.headline
	
	
	
	
	Dairy Farming Project - The Trivedi Effect
	

# data[].attributes.subject
	
	
	
	
	Dairy Farming Project - The Trivedi Effect
	

# data[].attributes.body
The dairy farming project is a study of The Trivedi Effect on quality of Milk. Read here to know about the project report about how energy treatment could change the dairy farming in India.

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	 Biofield Impact of Bottle Gourd Plant & Crop
	

# data[].attributes.subject
	
	
	
	
	 Biofield Impact of Bottle Gourd Plant & Crop
	

# data[].attributes.body
The alternative energy treatment by Mr. Mahendra Trivedi has resulted significant improvement in quality of bottle gourd plant. So the energy treatment could be used for better bottle gourd crop.

# data[].attributes.headline
	
	
	
	
	Mango Fruit Production - Impact of The Trivedi Effect
	

# data[].attributes.subject
	
	
	
	
	Mango Fruit Production - Impact of The Trivedi Effect
	

# data[].attributes.body
The study was intended to use The Trivedi Effect for increasing the mango fruit production. In this Mango Project the alphanso mange trees were used for study and results evaluated. Visit for more details.

# data[].attributes.headline
	
	
	
	
	Cashew Project - The Trivedi Effect Impact on Cashew Nut Trees
	

# data[].attributes.subject
	
	
	
	
	Cashew Project - The Trivedi Effect Impact on Cashew Nut Trees
	

# data[].attributes.body
Mr. Mahendra Trivedi's biofield Energy treatment was studied on the cashew nut trees to evaluate the impact of his energy on cashew nut cultivation. Read for more details.

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	Mahendra Trivedi's Biofield Energy | The Trivedi Effect
	

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	Mahendra Trivedi's Biofield Energy | The Trivedi Effect
	

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Mahendra Kumar Trivedi has conducted thousands of experiments based on the science of Biofield Energy and The Trivedi Effect. Visit to know more about the science behind The Trivedi Effect.

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The Science Behind The Trivedi Effect®

Atoms exist in all states of matter. Even the cells of microbes, plants, human beings and all other living / non-living things consist entirely of atoms in the form of complex molecules. Atoms, at the most elementary level, are made from electrons, protons, neutrons and several known and unknown subatomic particles. Physicists and chemists hypothesize several theories to explain the systematic and disciplinary existence of various species inside the atom, the nature of bonds between atoms in condensed states (such as solids and liquids), as well as for the way the particles are working inside the atom.

There have been several attempts to develop a unified picture that links the macroscopic universe and the microscopic atomic and subatomic world. The electromagnetic spectrum, of which visible light only forms a small portion of, arises from the cosmic radiation filtered by the atmosphere surrounding the planet. The observed properties of the matter and the electromagnetic radiation could only be explained by assuming a dual nature. That is, we view the object as a particle and use words to describe the particle's mass, speed and energy. On the other hand, we view the object as a wave and use words like wavelength and frequency to describe that wave. With this picture in mind, the radiation waves propagate through several tiny bundles of energy called photons and exert electrical and magnetic fields in mutually perpendicular directions. The energy varies inversely with the wavelength of the radiation and is high for gamma rays and low for radio waves with several regions of intermediate energy in between. Depending on the energy of radiation, the effects of interaction with matter are different. While gamma rays affect the nucleus of the atom, ultraviolet rays affect the outer electrons, and the infrared waves and microwaves affect the molecular vibrations and rotations. Therefore, the various regions of electromagnetic radiation are used to fingerprint different levels of structure at the atomic and molecular level.

The dual nature of matter and radiation led to quantum indeterminacy. The apparent necessary incompleteness in the description of a physical system has become one of the characteristics of the standard description of quantum physics. Prior to quantum physics, it was thought that (a) a state of a physical system can be uniquely determined by all the values of its measurable properties, and conversely (b) the values of its measurable properties uniquely determined the state. This made late Albert Einstein skeptical of quantum indeterminacy and in 1926, in a letter to Max Born, Einstein wrote: "I, at any rate, am convinced that He [God] does not throw dice." This became one of his greatest and most philosophical statements.

Atoms and subatomic particles are in continuous movement. Einstein postulated that neither the time, the weight, nor the mass are constant. When moving at high speeds, all of these things get compressed; only the speed of light remains the same. Einstein says this happens because energy is equal to mass times the speed of light squared, or E=MC2. This led to the concept of the atomic bomb, where the mass of the tiny atom is converted into tremendous energy. The reverse concept of converting energy into mass has yet to be observed.

Gravity is yet another energy that plays a dominant role at the macroscopic level (at the level of large masses like human beings, planets etc.). Einstein attempted to generalize his theory of gravitation in order to find a single unifying force, the special cases of which are gravitation and electromagnetism.

According to the prophetic novel "The Trigger," written by late Sir Arthur C. Clarke and Michael Kube-McDowell, the well-known CERN model does not say anything about why matter exists. Rather, the understanding is energy is energy, and matter is also energy. Forces are transmitted by vector bosons, which are elementary particles, and confusion arises because particles are matter, and matter is energy. The authors pose the question, "What is the factor which collapses the primal energy field into so many discrete fields states - four forces, a dozen of elementary particles, a hundred elements, a hundred thousand compounds? What is the essence of differentiation that allows a drawer full of pencils, a sky full of snowflakes, a beach full of sand grains to exist - with each element of the set retaining its individual character and separate existence, without sacrificing the underlying identity of form?" Their hypothesis was "Information organizes and differentiates energy. It regularizes and stabilizes matter. Information propagates through matter-energy and mediates the interactions of matter-energy. It is the mind of creation, the anti dyne to chaos."

The matter is considered to be a mere derivation: a subordinate phenomenon. The fundamental essences are energy and information. Information binds energy into form as will binds volition into purpose. "Alter the information, and the form is altered, while the substance remains unchanged." According to them, the information was the Universe's Will, imposing order on the Universe's substance-the order that had followed in the wake of the spontaneous and explosive transformation wrongly taken as the moment of creation. Energy is older than information, but formless and timeless without it: older than matter, but helpless and useless without it. In this new and provocative view, the Big Bang was not the birth of the Universe, but the birth of its consciousness.

Life Energy/consciousness/information signals the universe exists and needs a medium through which it can express itself. This has to be an entity different from all living beings: a unique individual on this planet.

Mr. Mahendra Kumar Trivedi (lovingly known as "GURUJI") is the one who defies the laws of human physiology and has performed what a layman would call "miracles." Although his physiology is totally different in comparison to that observed in normal human beings, he possesses excellent health with a fully functioning body and brain and very high levels of perception, interpretation and execution of daily activities. His food intake and his sleep are as normal as any human.

Mahendra Trivedi has the ability to harness the Divine Force/Vital Force from the Universe and to transmit/infuse it into any living or nonliving substance located anywhere on this planet. This is called The Trivedi Effect®. The energy of The Trivedi Effect® can make permanent changes into the structure of the atom, including the distance between two atoms, the size of the atom, the mass of the atom and the energy within and between the atoms, which are the basic building blocks that compose the entire known universe, visible and nonvisible. Mr. Trivedi's energy/consciousness/information signals, otherwise referred to as "The Trivedi Effect®," have altered the gene sequence by huge proportions in all varieties of plants and microbes, as well as changed interactions within and between atoms. Normally, the changes caused by external applied force/energy will revert back due to the restoring forces operating at the atomic level. However, the above-mentioned changes are found to be permanent and do not alter even after the force is removed (even in the absence of Mr. Trivedi's physical presence).

It may also be noted that, to alter the gene sequence, it is necessary for the technology in the form of energy/force to remain there permanently. Only then can new gene sequences express themselves in the DNA as well as form new proteins and provide unusual results (which are not seen in traditional varieties of crops and microbes). DNA fingerprinting is a rather crude and elementary method to analyze the impact of The Trivedi Effect®, as in any DNA even a single gene sequence consists of molecules with a large number of atoms. In such a system, the molecules are bound by weak secondary forces, which are somewhat easier to manipulate. Hence, to understand this impact/phenomena of The Trivedi Effect®, it is essential to conduct investigations at the level of atoms where the energy within and between the atoms is caused by strong primary forces.

Mahendra Kumar Trivedi has conducted thousands of experiments on metals, ceramics, polymers, chemicals, organic and pharmaceutical compounds through XRD, Mass Spectroscopy, Thermal analysis, Particle Size Analyzer, Surface area, ESR etc. Based on the results of these experiments, it was concluded the biofield treatment of The Trivedi Effect® can alter the distance between the atoms in a unit cell; change the energy in the crystalline structure as well as the crystallite size and the energy quantum between the atoms and within the atom. As per the existing science, if by some means one can alter the above parameters then the behavior of the atoms (and resultantly the materials) in both living and non-living things can be changed. Further, this energy constantly controls/regulates all of the constituents within the atom and between the atoms in such a manner that the atomic behavior and the crystalline behavior of the material must be altered throughout and remain the same all the time, anywhere on this planet.

Based on the results obtained and documented, it can be concluded that Mahendra Trivedi can induce the energy permanently into the atomic world through the procedure of thought intention. The same experiments conducted through the same machines on the same materials (both living and non-living) miraculously yielded different results in terms of quantity and quality when different amounts of energy/information/programming were fed. Every time, we have obtained different behaviors between the Control and Treated samples and also between different Treated samples too, which did not match with each other, by inducing different information every time in terms of the biofield treatment of The Trivedi Effect®. As Sir Arthur C. Clarke and Michael Kube-McDowell pointed out, "Alter the information, and the form is altered, while the substance remains unchanged."

The results of experiments on microbes showed that The Trivedi Effect® changed the species of microbes (based on the data through 16s rDNA). Hence the biofield treatment was able to create a new species of microbes or was able to "rewrite the destiny" of the microbes to be different in the 2nd, 3rd, 4th and so on generations. Thus, his energy has the capacity of creation, which was already shown through the experiments using mass spectroscopy and XRD for non-living materials, where energy was converted into mass. As per Mr. Trivedi, there is only ONE energy. Based on this fact, the same energy creates different types of impacts with varying results on both different living and non-living things.

Therefore, there is little surprise that Mahendra Trivedi can guide, control and regulate the energy through his thought intention procedure, which in turn significantly alters the behavior of the individual atom. It also alters groups of atoms at the level of the crystalline and poly crystalline states in inorganics and large molecular structures in organics, polymers and living things. In doing so, sometimes his physical presence is not required. Many times, he has treated living/non-living things from different corners/countries on this planet.

Also, there is no method according to the existing science (of any discipline) where energy can be converted into mass. Rather, only mass has been converted into energy. Through various experiments, The Trivedi Effect® has shown energy convert into mass (within the earth's gravitational force), thereby proving Einstein's concept that E=MC2 to be absolutely applicable in the case of this miraculous energy.

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The Trivedi Effect, Mahendra Trivedi | Trivedi Science

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Know the science behind The Trivedi Effect® and bio field energy. Mahendra Trivedi harness the Divine Force/Vital Force from the Universe and to transmit/infuse it into any living or nonliving substance located anywhere on this planet. This is called The Trivedi Effect®.

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	About Mahendra Trivedi | The Trivedi Effect
	

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	About Mahendra Trivedi | The Trivedi Effect
	

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Mr. Mahendra Trivedi has the ability transform living organisms and non-living materials through the transmission of a specific, healing energy. This phenomenon is known as The Trivedi Effect. Read here for more details.

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The unique physiology of Mahendra Trivedi has been studied and documented extensively in the USA, Australia, Canada and India by renowned clinical specialists and scientists. The reports are mind-boggling indeed and defy imagination. However, they do prove one simple fact -
Mr. Trivedi has a physiology that is significantly different from all the other seven billion human beings on Earth.

Some of the unique aspects of Mr. Trivedi's physiology include:

The transmission speed in Mr. Trivedi's blood vessels was beyond the maximum limit designated by technology

The arteries showed zero percent atherosclerotic plaque at 41 years of age

At the age of 54, the X-Ray and MRI findings of his spine appeared similar to those of a healthy male who had completed growth plate fusion and was no older than 25 years of age

Full body, digital X-Rays show that he has growing cartilage at the age of 54 years!

The muscle density in his hips is either higher or similar to bone density because his muscles are visible in X-Ray examination at 51 years of age

The elasticity of his body's cells at 41 years of age is much more superior than that of any newborn baby on this planet

The lowest body temperature is 68 degrees Fahrenheit and the highest body temperature is 95 degrees Fahrenheit only

The size of the pituitary fossa is 18.5 mm by 12.8 mm which is the largest ever noted in a healthy subject

The breathing is abdominal with little or no movement of the diaphragm which is biomechanically impossible

An EEG found that his brain is in an alpha state when he is simply "normal"

The sympathetic and parasympathetic parts of his brain function simultaneously, which is biomechanically impossible for humans because both systems produce an opposite impact in blood flow; muscle function; hormone, enzyme and peptide release, etc.

According to Dr Brian Costello, Chairman, American Board of Psychological Specialties in Neuropsychology, "Mr. Trivedi's computerized biofeedback measurements were found to be "uniquely dissimilar" from any other patient and non-patient samples. Mr. Trivedi's brain is into the deepest state of calmness and at the same time it is in the highest state of excitement, which is impossible with a normal human brain"

With Mr. Trivedi's physiological parameters, no other human can survive for even a small period of time.

Clinicians believe that there may be a link between his unique physiology and his extraordinary ability to transform the living organism at cellular level and non-living materials at atomic level.
To know more about him, Please Click Here

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Mahendra Kumar Trivedi | The Trivedi Effect

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The unique physiology of Mahendra Trivedi has been studied and documented extensively in the USA, Australia, Canada and India by renowned clinical specialists and scientists. The reports are mind-boggling indeed and defy imagination. However, they do prove one simple fact - Mr. Trivedi has a physiology that is significantly different from all the other seven billion human beings on Earth.