NIR Spectroscopy and Machine Learning for the Quantification of Blended Textiles: Towards Improved Understanding for Textile Recycling

Accurate quantification of cotton content is a key prerequisite for efficient textile recycling. However, it remains challenging due to material heterogeneity and technical limitations. Near-infrared spectroscopy (NIR) combined with advanced data analysis offers a rapid, non-destructive approach. Ho...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	David Lilek, Sebnem Sara Yayla, Hana Stipanovic, Thomas-Klement Fink, Jeannie Egan, Birgit Herbinger, Alexia Tischberger-Aldrian, Christian B. Schimper
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-03-01
Schriftenreihe:	Applied Sciences
Schlagworte:	near-infrared spectroscopy (NIR) textile recycling cotton/polyester blends cotton content prediction spectral preprocessing machine learning
Online-Zugang:	https://www.mdpi.com/2076-3417/16/7/3242
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