Multivariate Curve Resolution (MCR). Solving the mixture analysis problem-Reference-Cited by-同舟云学术

Multivariate Curve Resolution (MCR). Solving the mixture analysis problem

Published:2014 Issue:14 Volume:6 Page:4964-4976
ISSN:1759-9660
Container-title:Anal. Methods
language:en
Short-container-title:Anal. Methods

Author:

de Juan Anna¹²³⁴,Jaumot Joaquim⁵⁶,Tauler Romà⁵⁶

Affiliation:

1. Chemometrics Group

2. Dept. Analytical Chemistry

3. Universitat de Barcelona

4. 08028 Barcelona, Spain

5. IDAEA-CSIC

6. Barcelona, Spain

Abstract

This article is a tutorial that focuses on the main aspects to be considered when applying Multivariate Curve Resolution to analyze multicomponent systems, particularly when the Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) algorithm is used.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2014/AY/C4AY00571F

Reference63 articles.

1. S. C. Rutan , A.de Juan and R.Tauler , Introduction to Multivariate Curve Resolution , in Comprehensive Chemometrics , ed. S. Brown , R.Tauler and R. Walczak , Elsevier , Oxford , 2009 , vol. 2 , pp. 249–259

2. Self Modeling Curve Resolution

3. Mixture analysis using factor analysis. II: Self-modeling curve resolution

4. Chemometrics applied to unravel multicomponent processes and mixtures

5. Multivariate Curve Resolution (MCR) from 2000: Progress in Concepts and Applications

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