
Molecules, Год журнала: 2025, Номер 30(11), С. 2313 - 2313
Опубликована: Май 25, 2025
As regulations ban legacy PFASs, many emerging PFASs are being developed, leading to their release into the aquatic environment and drinking water. However, research studies on these in water limited, current standards only cover a few leaving unregulated toxicity unknown. Therefore, machine learning-based suspect screening combined with target was employed comprehensively identify quantify both novel from Yangtze River Delta, potential sources of contamination were determined through pollutant profile analysis. A total 30 identified, including 16 14 categorized 11 classes. Quantitative semi-quantitative analyses revealed that maximum concentrations ranged <LOQ (limit quantification) 48.92 ng/L. Notably, PFPeA (48.92 ng/L), perfluorobutanoic acid (PFBA, 44.83 perfluorooctanoic (PFOA, 37.72 perfluorobutanesulfonic (PFBS, 26.77 bis(trifluoromethanesulfonyl)imide (HNTf2, 15.02 ng/L) exhibited higher compared other PFASs. The analysis suggested Delta’s more likely originate pollution upper middle reaches rather than local industrial emissions. Then, identified prioritized by integrating PBT (persistence, bioaccumulation, toxicity) properties environmental exposure data. In prioritization risk assessment process, ten high-concern had Risk Indexes (RIs) those ref-PFOA ref-PFOS, eight two Delta originates surface lower River, which accumulates pollutants its reaches, affecting health over 20 million people. Our findings indicated presence region’s demonstrated conceptual models for chemical information prediction assessment. Although levels relatively low, still dominate. Further is needed identify, monitor, assess risks
Язык: Английский