Genetic-algorithm-based potential selection in multivariant voltammetric determination of indomethacin and acemethacin by partial least squares

被引：30

作者：

Arcos, MJ ^{[1
]}

Alonso, C ^{[1
]}

Ortiz, MC ^{[1
]}

机构：

[1] Univ Burgos, Dept Quim, Area Quim Analit, Fac Ciencia & Technol Alimentos & Ciencias Quim, E-09001 Burgos, Spain

来源：

ELECTROCHIMICA ACTA | 1998年 / 43卷 / 5-6期

关键词：

indomethacin; acemethacin; multivariant calibration; genetic algorithm; voltammetry;

D O I：

10.1016/S0013-4686(97)00139-4

中图分类号：

O646 [电化学、电解、磁化学];

学科分类号：

081704 ;

摘要：

A procedure was proposed for the resolution of strongly overlapping voltammetric signals from mixtures of indomethacin and acemethacin. In this procedure a partial least squares regression (PLS) used the full voltammogram. The application of a genetic algorithm to select some of the predictor variables (potentials of the voltammogram) allows one to reduce by up to one tenth the number of experimental variables, but does not diminish the prediction of the PLS model constructed with these selected variables. The relative error in absolute value is less than 2% when concentrations of several mixtures are calculated. (C) 1997 Elsevier Science Ltd.

引用

页码：479 / 485

页数：7

共 30 条

[1]

[Anonymous], PARVUS EXTENDABLE PA

[2]

[Anonymous], 1991, Handbook of genetic algorithms

[3] ELECTROANALYTICAL STUDY OF INDOMETHACIN [J].