Predicting electrophoretic mobility of beta-blockers in a water-methanol based electrolyte system |
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| Authors: | A Jouyban M Khoubnasabjafari H K Chan K D Altria B J Clark |
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| Institution: | (1) School of Pharmacy, Tabriz University of Medical Sciences, 51664 Tabriz, Iran;(2) Drug Applied Research Centre, Tabriz University of Medical Sciences, 51664 Tabriz, Iran;(3) Faculty of Pharmacy, The University of Sydney, 2006 Sydney, N.S.W., Australia;(4) Pharmaceutical Development, Glaxo Wellcome R& D, Park Road, SG120DP Ware, Herts, UK;(5) School of Pharmacy, University of Bradford, BD7 1DP Bradford, UK |
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| Abstract: | Summary Applicability of a mathematical model to predict the electrophoretic mobility of structurally related analyses is shown using
generated mobility data for beta-blockers in a mixed aqueousmethanolic buffer. The mobilities of atenolol, alprenolol, labetalol
and metoprolol in binary mixed solvent buffers containing different concentrations of methanol have been employed to train
the model. Then the mobilities of propranolol, timolol and acebutalol have been predicted using the trained model. The produced
mean prediction errors employing two and one experimental data points for three beta-blockers are 1.6 and 2.8%, respectively,
which is easily within experimental uncertainty. |
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| Keywords: | Capillary zone electrophoresis Electrophoretic mobility Beta-blockers Water-methanol mixture Mathematical modeling |
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