five

Environmental Occurrence, Source Identification, and Health Hazards of Ultrashort-Chain PFAS in the Yangtze River Delta

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://figshare.com/articles/dataset/Environmental_Occurrence_Source_Identification_and_Health_Hazards_of_Ultrashort-Chain_PFAS_in_the_Yangtze_River_Delta/30660944
下载链接
链接失效反馈
官方服务:
资源简介:
Ultrashort-chain per- and polyfluoroalkyl substances (USC-PFAS), defined by three or fewer carbon atoms in their backbone, represent an emerging class of environmental contaminants whose prevalence and hazards remain inadequately characterized. This study conducted a comprehensive survey of seven USC-PFAS and 37 other PFAS compounds in aquatic environments within the Integrated Demonstration Zone of the Yangtze River Delta, a region undergoing continued industrialization. Results showed that USC-PFAS overwhelmingly dominated PFAS profiles, with trifluoroacetic acid (TFA) representing the most abundant species. Mean concentrations of TFA reached 8.7 × 104 ng/L in surface water, 8.0 × 104 ng/L in source water, and 6.9 × 104 ng/L in tap water, constituting 90.1% to 99.6% of total ∑44PFAS across matrices. When TFA was excluded, the remaining ∑6USC-PFAS contributed 44.0% to 58.8% of the total PFAS burden. Trifluoromethanesulfonic acid (TFMS) was the second most abundant in surface and source waters, while trifluoromethane sulfonimide (Ntf2) ranked second in tap water. Source apportionment analyses implicated battery electrolyte formulations as major contributors of TFMS and Ntf2. Hazard prioritization based on persistence, mobility, bioaccumulation, and toxicity (PMBT) metrics, alongside measured environmental levels, identified TFA, TFMS, perfluoro-2-(perfluoromethoxy)propanoic acid (PMPA), and perfluorooctanoic acid (PFOA) as high-hazard compounds. These findings suggest that USC-PFAS constitute a pervasive and underregulated class of pollutants, whose high mobility and recalcitrance challenge current assumptions regarding their environmental safety and call for urgent regulatory reevaluation.
创建时间:
2025-11-19
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作