Xpectrass: an evaluation-driven preprocessing and interpretable machine learning platform for large-scale FTIR polymer classification

Digital Discovery 2026 Open access

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Authors: M. Maksuda Khanam, Saleena Younus, Laila Mousafi Alasal, M. Khabir Uddin, Julhash U. Kazi
DOI: 10.1039/d6dd00137h
Cited by: 1
References: 28

Abstract

Xpectrass provides evaluation-driven FTIR preprocessing, machine-learning benchmarking, and SHAP-based interpretation for reproducible polymer classification.

Fields of Study & Subjects

Spectroscopy and Chemometric Analyses Microplastics and Plastic Pollution Machine Learning in Materials Science

Publication details

Journal / source
Digital Discovery
Publisher
Royal Society of Chemistry (RSC)
Volume
5
Issue
8
Pages
3356–3367
Publication date
1 January 2026
Language
EN