Multivariate curve resolution: a review of advanced and tailored applications and challenges

Anal Chim Acta. 2013 Feb 26;765:28-36. doi: 10.1016/j.aca.2012.12.028. Epub 2012 Dec 25.

Abstract

Multivariate curve resolution (MCR) is a widespread methodology for the analysis of process data in many different application fields. This article intends to propose a critical review of the recently published works. Particular attention will be paid to situations requiring advanced and tailored applications of multivariate curve resolution, dealing with improvements in preprocessing methods, multi-set data arrangements, tailored constraints, issues related to non-ideal noise structure and deviation to linearity. These analytical issues are tackling the limits of applicability of MCR methods and, therefore, they can be considered as the most challenging ones.

Publication types

  • Review

MeSH terms

  • Algorithms
  • Least-Squares Analysis
  • Models, Theoretical
  • Multivariate Analysis*
  • Principal Component Analysis