Reference : Optimization of the separation of beta-blockers by ion-pair capillary electrophoresis in...
Scientific journals : Article
Human health sciences : Pharmacy, pharmacology & toxicology
http://hdl.handle.net/2268/18523
Optimization of the separation of beta-blockers by ion-pair capillary electrophoresis in non-aqueous media using univariate and multivariate approaches
English
Servais, Anne-Catherine mailto [Université de Liège - ULg > Département de pharmacie > Analyse des médicaments >]
Fillet, Marianne mailto [Université de Liège - ULg > Département de pharmacie > Analyse des médicaments >]
Chiap, Patrice mailto [Université de Liège - ULg > Département de pharmacie > Analyse des médicaments >]
Abushoffa, Adel M. [Université de Liège - ULG > Département de pharmacie > Analyse des médicaments > >]
Hubert, Philippe mailto [Université de Liège - ULg > Département de pharmacie > Analyse des médicaments > >]
Crommen, Jacques mailto [Université de Liège - ULg > Département de pharmacie > Analyse des médicaments >]
Dec-2002
Journal of Separation Science
Wiley-V C H Verlag Gmbh
25
15-17
1087-1095
Yes (verified by ORBi)
International
1615-9314
Weinheim
[en] non-aqueous capillary electrophoresis ; ion-pairing ; optimization ; beta-blockers
[en] The separation of four beta-blocking drug substances (atenolol, sotalol, betaxolol, and metoprolol) selected as model basic analytes has been investigated in non-aqueous capillary electrophoresis (NACE) using the principle of ion-pair formation. Camphorsulphonate was selected as the counter-ion in a background electrolyte (BGE) made up of formate buffer in a mixture of acetonitrile/methanol or acetonitrile/ethanol. The influence on resolution of the concentration of the counter-ion, the nature and proportion of the organic solvents, as well as the concentration of the ionic components of the BGE was first studied by a univariate approach. An experimental design was then applied to estimate possible quadratic effects and first-order interactions. To identify the most important factors affecting the separation of the four beta-blockers, a two-level fractional factorial design with 16 experimental points was applied as a screening test. A three factor Box-Behnken design with 12 experimental points was used to predict and optimize the selectivity. Finally the optimal conditions obtained by the univariate and the multivariate, approaches were compared.
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
http://hdl.handle.net/2268/18523

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