Multivariate curve resolution-alternating least squares (MCR-ALS) applied to spectroscopic data from monitoring chemical reactions processes

被引：218

作者：

Garrido, M. ^{[2
]}

Rius, F. X. ^{[1
]}

Larrechi, M. S. ^{[1
]}

机构：

[1] Univ Rovira & Virgili, Dept Analyt & Organ Chem, Fac Chem, Tarragona 43005, Spain

[2] Univ Nacl Sur, Lab FIA, Dept Chem, RA-8000 Bahia Blanca, Buenos Aires, Argentina

来源：

ANALYTICAL AND BIOANALYTICAL CHEMISTRY | 2008年 / 390卷 / 08期

关键词：

chemometrics; MCR-ALS; multivariate curve resolution; reaction monitoring; process monitoring; rate constant determination; kinetic data analysis;

D O I：

10.1007/s00216-008-1955-6

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

This paper overviews the application of multivariate curve resolution (optimized by alternating least squares) to spectroscopic data acquired by monitoring chemical reactions and other processes. The goals of the resolution methods and the principles for understanding their applications are described. Some of the problems arising from these evolving systems and the limitations of the multivariate curve resolution methods are also discussed. This article reviews most of the applications of multivariate curve resolution applied to reacting systems published between January 2000 and June 2007. Some basic papers dated before 2000 have also been included.

引用

页码：2059 / 2066

页数：8

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