Optimization of chromatographic selectivity of twelve sulphonamides in reversed-phase high-performance liquid chromatography using mixture designs and multi-criteria decision making

Abstract

For the optimization of the reversed-phase high-performance liquid chromatographic separation of twelve sulphonamides using a quaternary mobile phase, quadratic regression models were calculated. The three pseudo-components were buffer-methanol, buffer-acetonitrile and buffer-tetrahydrofuran and had identical solvent strengths. The capacity factors of the sulphonamides were determined at ten mobile phase compositions. The calculated regression models were used to optimize the resolution of the mobile phase and to simulate a chromatogram under optimum mobile phase conditions. The simulated optimum separation showed great similarity with a chromatogram measured under optimum conditions.