Raman Spectroscopic Classification of Polyethylene Glycol Samples of Varying Molecular Weights Using Machine Learning

Polyethylene glycol (PEG) is a widely used water-soluble polymer (WSP) whose properties such as crystallinity depend on molecular weight. This study explores whether Raman spectroscopy, combined with supervised machine learning, can differentiate PEG samples of defined molecular weights within the i...

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Autori principali:	Thomas J. Tewes, Ciara N. Duismann, Udita Singh, Peter F. W. Simon, Dirk P. Bockmühl
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-02-01
Serie:	Molecules
Soggetti:	polyethylene glycol PEG water-soluble polymers SVM PCA LDA
Accesso online:	https://www.mdpi.com/1420-3049/31/5/778
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