Multi-class machine learning classification of PFAS in environmental water samples: a blinded test of performance on unknowns

Environ. Sci.: Adv., 2024, 3,366-382
DOI: 10.1039/D3VA00266G, Paper
Open Access Open Access
Creative Commons Licence  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Tohren C. G. Kibbey, Denis M. O'Carroll, Andrew Safulko, Greg Coyle
A multi-class method was developed to identify PFAS origin based on chemical composition, and performance of the method was evaluated in a blinded test against unknowns. The method showed great promise in its ability to recognize sample origin.
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