Multivariate curve resolution-alternating least squares (MCR-ALS) applied to spectroscopic data from monitoring chemical reactions processes.
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.
Garrido
M
M
Lab. FIA, Department of Chemistry, Universidad Nacional del Sur, Av. Alem 1253 PB, B8000CPB, Bahía Blanca, Argentina.
Rius
F X
FX
Larrechi
M S
MS
D002857:Chromium / Q000737:chemistry; D004396:Coloring Agents / Q000737:chemistry; D001330:Electronic Data Processing / Q000379:methods; D004798:Enzymes / Q000737:chemistry; D016018:Least-Squares Analysis; D008055:Lipids / Q000737:chemistry; D015999:Multivariate Analysis; D009696:Nucleic Acids / Q000737:chemistry; D009930:Organic Chemicals / Q000737:chemistry; D011506:Proteins / Q000737:chemistry; D013057:Spectrum Analysis / Q000379:methods*
D004396:Coloring Agents; D004798:Enzymes; D008055:Lipids; D009696:Nucleic Acids; D009930:Organic Chemicals; D011506:Proteins; D002857:Chromium