1.     What is Aspirin 
-its an anticoagulant
-Analgesic 
2.    Why we need to do this experiment - its important to work out concs  - relate to doses/optimum conc/overdosing

3.     Explain the significance of it being “unknown” - link to how the experiment (using spectrophotometry) will combat this and do this by explaining;
-what a spectrophotometer is and 

define Beer – Lambert Law 
(defines the correlation between quantity of light absorbed by a substance dissolved in a solvent which is directly proportional to the concentration of the substance)  

4.     Go on to say what the report will include and the aim – outline the structure of the report and how you’re going to organise your information e.g. firstly we will look at .... and then....

 

·      Aims – determination of 2 unknown concentration 

·      What is spectrophotometry

·      What is aspirin

·       objectives- spectrophotometry what it is and what it actually does. 

·      Serial dilutions- how to make one 

·      Define-Lambda max- explain the theory 

·      Define- Beer lambert – explain theory 

·      Why we are doing this practical and relevance 

·      Explain key concepts e.g. analgesic and spectrophotometry 

·      Diagram of displayed formula of aspirin to highlight specific bonds

·      Peak absorbance

·      Beer’s Law

·      Effects of too much aspirin - overdose level

·      Pre-operative blood tests to check if surgery is safe - Relevence of practical
FeCl₃ And coloured compound formation
Serial dilutions

·      Provide background information: Significance and clinical use of aspirin (dosage)
: anti-inflammatory etc., Acetyl salicylic acid, main active ingredient in aspirin, what counts as a toxic substance

·      aim and hypothesis of the experiment found out if sample is toxic or not and if it links to her driving/case study

·      key concepts and terminology: spectrophotometry, beer lamberts law (define and relate to each other)

·      justify the rationale and the significance of your research – link back to the case study

·      outline the structure of the rest of the research project 

·      Figure/table serial dilution

·      Use a solution to work out lambda max 

·      Using wavelength work out calibration curve for aspirin

·      Need to check if the graph obeys beer lambert law

·      Work out the concentration of 2 unknown solutions

·      Absorbance table including mean

·      Notice anomalies 

·      Calibration curve – lamda max

·      Axis: 

o   wavelength and absorbance

o   concentration and absorbance

·      Describe results and tends but don’t interpret – linear?

·      Shows all calculations – clear and accurate

1.     Dilution table of the different concs of Aspirin 

2.     Table of results of absorbance, include the mean  

3.     A calibration curve – you need this to figure out the two unknown solutions. Make a calibration curve of absorbance against concentration - using the most sensitive wavelength (lamda max) of aspirin you can work out the absorbances at different concs 

X-axis = Concentration  (W/V%)

Y-axis = Absorbance (Au)

 

            Describe Trends  

-Is it linear ? describe shape of graph

·      Describe limitations in experiment

·       Compare with published findings and to see if there is any difference/comparison 

·      If to do it again- keep it the same 

·      Results were accurate/precise 

·      Discuss accuracy of results - Identify sources of inaccuracy – Describe experimental limitations – equipment, environment?

·      Compare results with technicians results and publish findings

·      Justify anomalous results using evidence and journals – reference these

·      Do the trends agree with the hypothesis? - explain

-interpret findings, for example the calibration curve if its linear – what law would it be obeying? 

-What does it mean that you found lambda max for aspirin 

-limitations - The fact that we didn’t do it in person 

-sources of accuracy/inaccuracy - Smudges on the cuvette - Handling it from the smooth edge 

-future experiments 

-relevance to clinical/ real life scenarios – its important to be able to determine concs, relevant because you need the appropriate dose, their might be detrimental consequences if too much was given for example.