A Program for Simulation of Peak Profile in Gas Chromatography
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Abstract
Gas chromatography (GC) is a precise and effective technique that is used to identify chemical compositions of samples of compounds and quantitatively analyze volatile organic compounds or semi-volatile organic ones, such as fragrances, spices, fuel, and substances in the air. To effectively analyze samples of compounds and reduce interference, the parameters in GC (e.g., a column type, a column length, a column radius, a gas flow rate, and a rate of temperature increase) must be optimized to fit such compounds. This research aims to develop the program for simulating the analysis results of the compounds by using linear solvation energy relationship (LSER) and time summation model to simulate retention time (tR). Plate Height Theory was used to simulate a peak width (). Gaussian equation was used to simulate peak intensity for each chromatogram peak in both isothermal process and temperature program. The analysis was conducted through Microsoft Excel and the results were shown in the form of a two-dimensional chromatogram. Theoretical findings from the chromatogram simulation of the compounds were compared with 2 published research, that study about the separation of n-alkane through the temperature-programmed GC. Results of the present study show that good linearity with correlation coefficient (R2 = 0.9532 and 0.9896) from the correlation plot between simulated tR and experimental tR were achieved.
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ลิขสิทธ์ ของมหาวิทยาลัยเทคโนโลยีราชมงคลพระนครReferences
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