Study on the systematic optimization of capillary electrophoresis using a controlled weighted centroid variable size simplex algorithm

Abstract

The systematic optimization of capillary electrophoretic separations using a dynamic scouting optimum method-controlled weighted centroid variable size simplex algorithm is described. The factors affecting the efficiency of the separation are simultaneously considered during the optimization procedures. The established optimization method is applied to amino acid separation by capillary zone electrophoresis (CZE) with on-column indirect UV detection and to the separation of local anesthetics by micellar electrokinetic chromatography (MECC) with on-column UV detection. The optimization procedures include the pH and the background absorption electrolyte (BGAE) concentrations together with the applied voltage in the CZE separation of amino acids. The pH, the SDS concentrations together with the percentage of methanol are considered in the MECC separation of local anesthetics. Two methods, i.e., the Long Coefficient and Uniform Design Table, are used to define the start vertexes during the optimization procedure and similar final experimental conditions for the separations are achieved. Thirteen native amino acids are baseline separated by CZE and 4 local anesthetics are satisfactorily separated by MECC.