title: [Application of genetic algorithm in optimization of mobile phase composition in high performance liquid chromatography].
abstract: Referring to traditional optimal methods, a method for the optimization of isocratic elution mobile phase composition in high performance liquid chromatography has been developed. In this method, the genetic algorithm based on line-crossover and plane-mutation is used. The principle of genetic algorithm and the process of optimization of mobile phase composition in reversed-phase ion-pair high performance liquid chromatography using genetic algorithm are introduced in details. With the concentrations of acetonitrile and ion-pair reagent sodium octane sulfonate chosen as the optimal parameters, the optimum was obtained by three times of optimization procedures. The mean relative error between the predicted and experimental values was 0.75% at the optimum and the optimization results were satisfactory.
authors.affiliation: National Chromatographic R. & A. Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116011, China.
authors.forename: Xue-Guo
authors.initials: XG
authors.lastname: Chen
authors.forename: Jian-Yi
authors.initials: JY
authors.lastname: Ni
authors.forename: Han-Fa
authors.initials: HF
authors.lastname: Zou
authors.forename: Rui-Huan
authors.initials: RH
authors.lastname: Zhao
mesh_terms: D000465:Algorithms; D000596:Amino Acids / Q000302:isolation & purification*; D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D005823:Genetics; D010449:Peptide Mapping
chemical_list: D000596:Amino Acids