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Abstract

Mathematical Model For Customizing Chiral High Performance Liquid Chromatographic Analysis Employing Factorial Experimental Design

Author(s): K Valliappan, K Kannan, R Manavalan, C Muralidharan

This paper deals with the development of a mathematical model to predict the baseline enantioseparation and to customize chiral HPLC analysis using factorial experimental design. An attempt is made to establish quantitative relationship between chromatographic separation variables and the response factor (resolution). The significance of the chromatographic factors and adequacy of the model developed was checked using F-test and coefficient of determination (R2) respectively. The trends of important effects of chromatographic factors on chiral resolution have been presented in graphical form. The study suggests that factorial design is a potential tool to customize chiral HPLC analysis.

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