JPC - Journal of Planar Chromatography - Modern TLC
Volume/Issue:
Volume 18: Issue 102
Use of a genetic algorithm to optimize TLC separation
Authors: Sandra Babić 1 , Alka Horvat 1 , and Marija Kaštelan-Macan 1
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  • 1 University of Zagreb Laboratory of Analytical Chemistry, Faculty of Chemical Engineering and Technology Marulićev trg 20 HR-10000 Zagreb Croatia
DOI:
https://doi.org/10.1556/jpc.18.2005.2.5
Page Count:
112–117
Publication Date:
01 Apr 2005
Online Publication Date:
17 Mar 2007
Article Category:
Research Article
Restricted access

A method for optimization of a TLC separation based on use of a genetic algorithm is described. The procedure was tested by optimization of the reversed-phase HPTLC separation of a mixture of six pesticides and satisfactory optimum results were obtained. The performance of the genetic algorithm was tested by measurement of the number of generations, the population size, the mutation probability, and the crossover probability. Three separation criteria ( MRF , R * and R **) were examined as fitness functions. The genetic algorithm was compared with the simplex method.

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Cover JPC - Journal of Planar Chromatography - Modern TLC
JPC - Journal of Planar Chromatography - Modern TLC
Print ISSN:
0933-4173
Online ISSN:
1789-0993
Keywords:
TLC; Genetic algorithm; Optimization; Pesticides

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