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Self‐modeling curve resolution analysis of on‐line vibrational spectra of polymerisation and transesterification
Author(s) -
Ozaki Yukihiro,
Šašić Slobodan,
Jiang JianHui,
Siesler Heinz W.
Publication year - 2002
Publication title -
macromolecular symposia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 76
eISSN - 1521-3900
pISSN - 1022-1360
DOI - 10.1002/1521-3900(200208)184:1<229::aid-masy229>3.0.co;2-d
Subject(s) - transesterification , raman spectroscopy , copolymer , spectral line , infrared spectroscopy , resolution (logic) , line (geometry) , materials science , polymer chemistry , chemistry , analytical chemistry (journal) , computational chemistry , chemical engineering , polymer , organic chemistry , physics , computer science , engineering , optics , geometry , mathematics , astronomy , artificial intelligence , catalysis
This article discusses the potential of self‐modeling curve resolution analysis (SMCR) for the evolution of on‐line vibrational spectral data of polymerisation and transesterification. After the general introduction of the SMCR approach, representative SMCR techniques like orthogonal projection analysis (OPA) and simple‐to‐use interactive self‐modeling mixture analysis (SIMPLISMA) are briefly outlined. As examples the SMCR analysis of the Raman spectra of the block copolymerisation of styrene and 1,3‐butadiene and that of the near‐infrared (NIR) spectra of the melt‐extrusion transesterification of ethylene‐vinylacetate copolymer will be illustrated. In the last part of this review paper, a new powerful SMCR method that we have recently proposed is demonstrated.