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Optimization of multicomponent solvent selection in high‐performance liquid chromatography using a statistical method
Author(s) -
Wang QinSun,
Gao RuYu,
Wang HengYan,
Yan BingWen
Publication year - 1991
Publication title -
chinese journal of chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.28
H-Index - 41
eISSN - 1614-7065
pISSN - 1001-604X
DOI - 10.1002/cjoc.19910090305
Subject(s) - chemistry , selection (genetic algorithm) , high performance liquid chromatography , solvent , chromatography , phase (matter) , isopropyl , resolution (logic) , polynomial , reversed phase chromatography , organic chemistry , artificial intelligence , computer science , mathematical analysis , mathematics
A computer‐assisted method is presented for optimization of multicomponent solvent mobile phase selection for separation of O ‐ethyl‐ N ‐isopropyl phosphoro (thioureido) thioates in reversed‐phase HPLC and four geometric isomers of pesticides Decis in normal‐phase HPLC. The method is based on Snyder's solvent selection triangle concept using a statistical method. The optimization of the separation over the experimental region is based on a special polynomial estimation from seven experimental runs, and resolution ( R s ) is used as the selection criterion. Excellent agreement was obtained between predicted data and experimental results.