Application of multivariate curve resolution alternating least squares (MCR-ALS) to the quantitative analysis of pharmaceutical and agricultural samples

被引：224

作者：

Azzouz, T. ^{[1
]}

Tauler, R. ^{[1
]}

机构：

[1] CSIC, IIQAB, Dept Environm Chem, ES-08034 Barcelona, Spain

来源：

TALANTA | 2008年 / 74卷 / 05期

关键词：

forage analysis; NIR spectroscopy; MCR-ALS; PLSR;

D O I：

10.1016/j.talanta.2007.08.024

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Application of multivariate curve resolution alternating least squares (MCR-ALS), for the resolution and quantification of different analytes in different type of pharmaceutical and agricultural samples is shown. In particular, MCR-ALS is applied first to the UV spectrophotometric quantitative analysis of mixtures of commercial steroid drugs, and second to the near-infrared (NIR) spectrophotometric quantitative analysis of humidity and protein contents in forage cereal samples. Quantitative results obtained by MCR-ALS are compared to those obtained using the well established partial least squares regression (PLSR) multivariate calibration method. (c) 2007 Published by Elsevier B.V.

引用

页码：1201 / 1210

页数：10

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