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Computer‐assisted optimization of mobile phase compositions and development distance selectivity in gradient two‐step development high‐performance thin‐layer chromatography
Author(s) -
BingWen Yan,
Ling Zhang,
QinSun Wang
Publication year - 1996
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.19960140412
Subject(s) - chemistry , development (topology) , chromatography , phase (matter) , selectivity , analytical chemistry (journal) , selection (genetic algorithm) , biological system , artificial intelligence , computer science , mathematical analysis , mathematics , organic chemistry , biology , catalysis , biochemistry
A computer‐assisted method is presented for optimization of mobile phase compositions and development distance in gradient two‐step development HPTLC. The method is based on a system which can predict the final R f values for gradient two‐step development from values measured using five preliminary runs. The statistical scanning method is then used for optimization, using R f difference as the selection criterion. The method was evaluated using a mixture of eight components. Excellent agreement was obtained between predicted and experimental results.

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