Per- and Polyfluoroalkyl Substances in Potential Drinking Water Sources Globally: Distributions, Monitoring Trends, and Risk Assessment

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Abstract
Due to widespread industrial applications and increased discharges, concentrations of polyfluoroalkyl substances (PFAS) in potential drinking water sources have risen significantly, putting more people at risk of PFAS exposure. This study aimed to systematically clarify the occurrence characteristics (concentrations, detection frequencies, and temporal trends) of PFAS in global potential drinking water sources over the past decade, assess their oral exposure risks, and identify key PFAS species with high detection frequencies, high contamination levels, or high toxicity risks, thereby providing scientific support for the development of targeted control technologies and management strategies. This study systematically searched and reviewed the relevant literature published between 2014 and 2024 on PFAS levels in global potential drinking water sources, extracting data on PFAS concentrations, detection information, and sampling characteristics. Using the U.S. Environmental Protection Agency (EPA) Reference Dose (RfD) for oral exposure as the Acceptable Daily Intake (ADI), we evaluated the exposure risks of eight specific PFAS via the Risk Quotient for Specific Contaminants (RQRSC) model and analyzed the annual detection trends of the top thirty PFAS with the highest detection frequencies. Regarding total PFAS contamination, China, Brazil, Germany, South Africa, and the Danube River Basin exhibited particularly high levels, with China being the most severely contaminated. Risk assessment indicated that 45.6% of global potential drinking water sources were at high risk (RQRSC > 1), while 48.4% were at low risk (RQRSC < 0.2). Among the evaluated PFAS, PFOA, PFOS, PFDA, and GenX were associated with higher toxicity exposure risks. For the identified key concern PFAS, it is necessary to simplify detection techniques, promote targeted large-scale safe treatment technologies, and explore intelligent monitoring tools to reduce regulatory lag, thereby effectively monitoring, preventing, and controlling PFAS contamination.
Funding Information
  • National Natural Science Foundation of China (52470012)
  • National Key Research and Development Program of China (2024YFC3810901-03)

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