Prediction of the Retention Behavior of lonizable Compounds in Reversed-Phase LC Using Factor-Analytical Modeling

摘要

Principal component factor analysis (PCFA) and target transformation factor analysis (TTFA) are used to examine the reversed-phase high-performance liquid chromatographic retention behavior of some neutral, basic, and acidic organic compounds in water-methanol-acetonitrile solvent systems at pH 7, 5, and 3. The ratios of the pairs of HA/A~- (acid) or B/BH~+ (base) are controlled by the buffered mobile phases, and this permits the factor analytical model to be extended to ionic compounds. Four factors are sufficient to reproduce the data within an error margin of 3%.