Partial least-squares and principal-component regression of multi-analyte high-performance liquid chromatography with diode-array detection

被引：2

作者：

Frenich, AG ^{[1
]}

Galera, MM ^{[1
]}

Vidal, JLM ^{[1
]}

Garcia, MDG ^{[1
]}

机构：

[1] UNIV ALMERIA,FAC EXPTL SCI,DEPT HYDROGEOL & ANALYT CHEM,E-04071 ALMERIA,SPAIN

来源：

JOURNAL OF CHROMATOGRAPHY A | 1996年 / 727卷 / 01期

关键词：

principal component analysis; chemometrics; computer-assisted chromatography; partial least-squares regression; multivariate calibration; mobile-phase composition; calibration methods; pesticides; pyrethroids; cypermethrin; fenvalerate; permethrin;

D O I：

暂无

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Three multivariate calibration methods, partial least-squares (PLS-1 and PLS-2) and principal component regression (PCR), were applied to the simultaneous determination of cypermethrin, fenvalerate and cis- and trans-permethrin by HPLC. Several preprocessing algorithms for pretreatment of data in chemometric approaches are discussed. Mean centering and the selection of the chromatogram region to realize the calibration were found to be advantageous.

引用

页码：27 / 38

页数：12

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