Evaluation of Peakmaster for computer‐aided multivariate optimisation of a CE separation of 17 antipsychotic drugs using minimal experimental data

Abstract

The computer-assisted development of a CE method for compliance monitoring of a group of 17 antipsychotic drugs (chlorpromazine hydrochloride, clozapine, droperidol, flupenthixol dihydrochloride, fluphenazine dihydrochloride, haloperidol, pimozide, thioridazine hydrochloride, trifluoperazine dihydrochloride, prochlorperazine dimaleate, amisulpride, aripiprazole, olanzapine, quetiapine fumarate, risperidone, ziprasidone, and zuclopenthixol dihydrochloride) was performed. Peakmaster, a free simulation program for CE, was employed in a multivariate optimisation approach to determine suitable BGE conditions with minimal experimentation. However, analyte input parameters (pK(a) and limiting ionic mobility) were not included within the software and required determination. Limiting ionic mobility was determined experimentally, while pK(a) values were calculated using ACD Labs software. A modified chromatographic response factor, which identified the BGE providing the greatest resolution between each pair of peaks within 10 min, was used and determined a pH 2.5 and an ionic strength of 50 mM as optimal. Marked disparities were apparent between experimentally determined and computer-simulated results, due to error associated with pK(a) values calculated using ACD Labs. These results confirm that Peakmaster analyses are highly sensitive to pK(a) values, especially where the pH of the BGE is in the proximity of the analyte pK(a); but also that Peakmaster does allows a rational approach to dramatically reduce the amount of experimental work required for multivariate optimisation of conditions for CE.