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Retention modeling and resolution optimization for a group of N ‐phenylpyrazole derivatives in micellar electrokinetic chromatography using empirical and physicochemical models
Author(s) -
GarcíaRuiz Carmen,
Jiménez Olga,
Marina Maria L.
Publication year - 2003
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.200390042
Subject(s) - micellar electrokinetic chromatography , electrokinetic phenomena , chemistry , pulmonary surfactant , chromatography , resolution (logic) , micelle , sodium dodecyl sulfate , electrophoresis , analytical chemistry (journal) , aqueous solution , organic chemistry , biochemistry , artificial intelligence , computer science
The optimization of the separation resolution for a group of N ‐phenylpyrazole derivatives in micellar electrokinetic chromatography (MEKC) as a function of the separation buffer composition (surfactant and organic modifier concentration) has been performed. In order to achieve our purpose, the first step has been the prediction of the migration times of the electroosmotic flow ( t 0 ) and micelles ( t m ), and the retention factors of solutes ( k ), as a function of surfactant (sodium dodecyl sulfate) and alcohol ( n ‐propanol or n ‐butanol) concentrations, by means of empirical equations. Also, some physicochemical models have been applied to relate the retention factors to the surfactant and the organic modifier concentrations in order to optimize the separation resolution and to increase our knowledge of the separation process. Finally, a comparison of the resolution optimization through the use of the physicochemical and empirical models selected has been made in order to obtain the optimum separation buffer composition for the separation of a group of 17 N ‐phenylpyrazole derivatives as test solutes.