Wavelength selection method for multicomponent spectrophotometric determinations using partial least squares

被引：130

作者：

Frenich, AG

JouanRimbaud, D

Massart, DL

Kuttatharmmakul, S

Galera, MM

Vidal, JLM

机构：

[1] FREE UNIV BRUSSELS,INST PHARMACEUT,CHEMOAC,B-1090 BRUSSELS,BELGIUM

[2] UNIV ALMERIA,DEPT HYDROL & ANALYT CHEM,E-04071 ALMERIA,SPAIN

来源：

ANALYST | 1995年 / 120卷 / 12期

关键词：

ultraviolet-visible spectrophotometry; feature selection; partial least squares;

D O I：

10.1039/an9952002787

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

A method for eliminating unnecessary wavelengths is applied with the goal of achieving improved prediction ability in multicomponent determinations by UV/VIS spectrophotometry with partial least squares (PLS), The feature selection method is based on the regression coefficients of the closed form of the PLS model, This method was evaluated with calibration data of different types, and with different criteria to choose the optimum number of factors, The results presented suggest that wavelength selection improves the prediction ability of PLS method.

引用

收藏

页码：2787 / 2792

页数：6

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