“…Several new PFAS methods have been published in the last two years, including two using machine learning tools (which, of course, is a hot field now with many applications). First, Joseph et al applied machine learning with target and suspect screening to discover new PFAS source fingerprints . Machine-learning classifiers were used to identify PFAS that were diagnostic of different sources, including AFFF-impacted groundwater, landfill leachate, biosolids leachate, municipal WWTP effluent, and pulp-and-paper mill wastewater effluent.…”