Determination of caffeine in beverages by high-performance liquid chromatography (HPLC
Determination of caffeine in beverages by high-performance liquid chromatography (HPLC)
Name :……………………………………………… MSc Course :……………..
Date :………………………………
Marks Guideline
Complete the report as instructed.
Marks are given for: · Give a short introduction to HPLC and discuss the difference between accuracy and precision in analytical science · Plot graphs of the mean peak area and mean peak height for each of the standards against the concentration of the standard. Graphs plotted correctly with appropriate title, units, equation, significant figures and line of best fit. · Use your graphs to determine the concentration of caffeine in the original beverage samples, use appropriate units and significant figures. Show the calculations and include an error value. · Answering the questions on the proforma · Discuss your results, comment on the differences (if any) obtained using peak area and peak height and indicate which you think is the “better” result and why. · Indicate the potential sources of error and their magnitudes and give an overall estimate of the precision of the results obtained. Comment on how the method and results could be improved. |
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Total Possible Mark | 20 |
SMA0020 – Determination of Caffeine in Beverages Using HPLC
The purpose of this experiment is to determine the concentration of caffeine contained in the beverage provided. A calibration curve will be constructed using caffeine standards, then the unknown sample will be measured and its caffeine content calculated.
Your graphs (drawn in Excel or a similar program) and your chromatograms must be attached to your report.
Part 1 – Calibration curve
Run each caffeine standard solution twice, starting with the lowest concentration. Record your measurements in the table below and plot a calibration graph for peak area vs. concentration. Copy and paste your graph in to this proforma.
Conc/ppm | Peak area 1 | Peak Area 2 | Peak Height 1 | Peak Height 2 |
10 | 93742 | 93013 | 9326 | 9326 |
25 | 222699 | 217540 | 21826 | 21826 |
50 | 490364 | 490344 | 49418 | 49418 |
75 | 726731 | 722776 | 72663 | 72663 |
100 | 903954 | 904227 | 90471 | 90471 |
Part 2 – Analysis of unknowns
Record the peak area and peak height for the unknown samples in triplicate.
Sample ID of unknown 1: Tea
Injection | Peak area | Peak Height |
1 | 319403 | 30834 |
2 | 317675 | 30435 |
3 | 323347 | 31244 |
Average | ||
SD |
Calculate the concentration of caffeine in the unknown, including an error value:
Sample ID of unknown 2: Coffee
Injection | Peak area | Peak Height |
1 | 437006 | 37455 |
2 | 414022 | 34879 |
3 | 373455 | 30318 |
Average | ||
SD |
Calculate the concentration of caffeine in the unknown, including an error value:
Sample ID of unknown 3: Red Bull
Injection | Peak area | Peak Height |
1 | 644773 | 64823 |
2 | 666261 | 64345 |
3 | 655535 | 64155 |
Average | ||
SD |
Calculate the concentration of caffeine in the unknown, including an error value:
Questions
- Why were the calibration standards analysed in increasing order of concentration?
- Comment on the linearity of your calibration graphs
- Comment on the magnitude of the errors in your measurements of the unknown concentration.