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Prediction of the migration behavior of analytes in capillary electrophoresis based on three fundamental parameters

TitlePrediction of the migration behavior of analytes in capillary electrophoresis based on three fundamental parameters
Publication TypeJournal Article
Year of Publication1997
AuthorsBritzMcKibbin, P, Chen, DDY
JournalJournal of Chromatography A
Volume781
Pagination23-34
Date PublishedSep
Type of ArticleProceedings Paper
ISBN Number0021-9673
KeywordsAFFINITY, BETA-CYCLODEXTRIN, BINDING, CHIRAL SEPARATION, CONSTANTS, deoxyribonucleotides, ELECTROKINETIC CHROMATOGRAPHY, ENANTIOMERS, migration behaviour, migration time prediction, MODEL, OPTIMIZATION, SELECTORS, TIOCONAZOLE
Abstract

The prediction of analyte migration behavior in capillary electrophoresis (CE) is essential for rapid method development. The dynamic complexation model, based on 1:1 interactions, was used to accurately predict the apparent electrophoretic mobilities and the migration times of a group of deoxyribonucleotides (dNPs) at various concentrations of beta-cyclodextrin (beta-CD). The electrophoretic mobility of the analyte, the electrophoretic mobility of the analyte-additive complex and the equilibrium constant are the three fundamental parameters required to determine the mobility of an analyte. The apparent migration time of the analyte can be predicted once the electroosmotic mobility and relative viscosity of the solution are known. Optimum separation conditions can be determined based on these parameters. Excellent agreement between observed analyte migration behavior and predicted values was demonstrated, with relative errors being often less than 1%. The theory was tested repeatedly under various conditions in order to assess its predictive capabilities and limitations. Analysis by molecular modelling, in conjunction with calculated electrophoretic parameters and equilibrium constants, provided deeper insight into the probable mechanisms of the separation process at the molecular level. (C) 1997 Elsevier Science B.V.

URL<Go to ISI>://A1997YC19800005