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多元曲线分辨交替最小二乘法(MCR-ALS)应用于监测化学反应过程的光谱数据。

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

作者信息

Garrido M, Rius F X, Larrechi M S

机构信息

Lab. FIA, Department of Chemistry, Universidad Nacional del Sur, Av. Alem 1253 PB, B8000CPB, Bahía Blanca, Argentina.

出版信息

Anal Bioanal Chem. 2008 Apr;390(8):2059-66. doi: 10.1007/s00216-008-1955-6. Epub 2008 Mar 5.

Abstract

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.

摘要

本文概述了多元曲线分辨法(通过交替最小二乘法优化)在监测化学反应及其他过程所获取的光谱数据中的应用。阐述了分辨方法的目标以及理解其应用的原理。还讨论了这些动态系统产生的一些问题以及多元曲线分辨法的局限性。本文回顾了2000年1月至2007年6月间发表的多元曲线分辨法在反应体系中的大部分应用。也纳入了一些2000年以前的基础文献。

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