Determination of Caffeine in Coffee Using High Performance Thin Layer Chromatography
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Introduction
High Performance Thin Layer Chromatography (HPTLC) is a very useful analytical technique and requires low sample preparation, here illustrated through the analysis of caffeine in coffee. Only extraction and filtration, through a 0.45 μm PTFE syringe filter, is needed for boiled coffee samples prior analysis. The HPTLC plate was pre-conditioned with the mobile phase, and a TLC-scanner was a used for the quantitation after the chromatographic separation was completed.
Results and Discussion
Caffeine was detected under UV light at 254 nm, hRf = 56, (Figure 1). A four-level calibration curve was constructed and used for quantitation purposes, (Figure 2). Each sample was analyzed in triplicate performed in parallel, a benefit with planar chromatography over both GC and HPLC.
![Developed HPTLC plate at 254 nm, chromatographic data shown in the table above. A developed High-Performance Thin-Layer Chromatography (HPTLC) plate under ultraviolet light at 254 nm. The plate displays a series of numbered bands from 1 to 24, indicating different sample spots. A dashed rectangle highlights an area with the text ‘hRf = 56’ below it, suggesting the measurement of a particular spot’s retention factor.](/deepweb/assets/sigmaaldrich/marketing/global/images/technical-documents/protocols/analytical-chemistry/thin-layer-chromatography/developed-hptlc-plate/developed-hptlc-plate.jpg)
Figure 1.Developed HPTLC plate at 254 nm, chromatographic data shown in the table above.
![Calibration graph following the polynomial regression mode A graph displaying a series of data points with a polynomial regression line fitted through them, indicating a strong correlation with an r-value of 0.9970. The data points are scattered along the line, suggesting a high degree of accuracy in the calibration process.](/deepweb/assets/sigmaaldrich/marketing/global/images/technical-documents/protocols/analytical-chemistry/thin-layer-chromatography/polynomial-regression-calibration-graph/polynomial-regression-calibration-graph.jpg)
Figure 2.Calibration graph following the polynomial regression mode (r = 0.9970).
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