Abstract
Calculation of chromatographic enantioselectivity (α) is critically important in enantioselective chromatographic method development studies. The fact that α can only be calculated from isocratic elution conditions, whereas gradient elution conditions are predominantly used in method development screening, presents some problems for the use of α as a scoring indicator for automated, intelligent enantioselective chromatography method development systems. In this study, an empirical algorithm was developed to estimate α at isocratic conditions based upon information collected from a gradient elution. The algorithm was validated for SFC applications and has been shown to accurately predict enantioselectivity for a wide variety of racemic test analytes eluted on different chiral column and mobile phase conditions.
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