Consumption of drinking water is a major and actionable human exposure pathway for per- and polyfluoroalkyl substances (PFAS), making it a focus of regulatory efforts. Population-based clinical guidelines recently established serum PFAS levels associated with health risk, but translating these into corresponding external drinking water exposure concentrations remains a data gap. Toxicokinetic (TK) models that relate drinking water PFAS concentrations to population serum levels provide a framework to link clinical guidelines with environmental exposure. In this study, we expand and evaluate a probabilistic, one-compartment TK model to estimate population serum PFAS concentrations for six regulated PFAS. We implement the model to estimate drinking water PFAS concentrations that maintain serum concentrations in sensitive populations below a clinical action level recommended by the National Academies of Sciences, Engineering and Medicine. Model revisions include incorporating population variability distributions for exposure factors, implementing continuous modeling from birth to account for transgenerational transfer, improving computational efficiency, and adding two additional PFAS. Distributions of modifiable parameters are combined using Monte Carlo simulations to predict the distribution of serum PFAS concentrations across defined populations. Model predictions reproduced empirical serum concentrations for populations of infants, children, and adults within two-fold error of observed central tendencies and upper percentiles for six PFAS. Drinking water concentrations that maintain serum concentrations below the National Academies of Sciences, Engineering, and Medicine clinical action level for breastfed infants range from 19 to 162 ng/L for the six PFAS, individually. These drinking water concentrations can inform regulatory, policy, and clinical decision-making, although they are not appropriate as health-protective drinking water standards.
Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants widely detected in food and human serum, raising concerns about major exposure pathways in the general population. This study evaluated the relative importance of dietary and drinking water exposure pathways for seven legacy PFAS compo...
Hong-Bing Sun· Environmental science and po...· 0 citations
Chlorination of drinking water effectively prevents waterborne infections but also results in the formation of potentially carcinogenic disinfection by-products, including trihalomethanes (THMs). Experimental animal studies indicate that the liver and kidney are target organs for THM carcinogenicity, yet epidemiologica...
Emilie Helte, M. Säve-Söderbergh, A. Åkesson· Environment International· 0 citations
A relative source contribution factor is applied when deriving noncancer health-based guidance values for drinking water contaminants. The present work aimed at assessing the adequacy of the 20% default value often attributed to this factor while accounting for concomitant inhalation exposure to the reference concentra...
Per- and polyfluoroalkyl substances (PFAS) are widely detected in water sources, making contaminated potable water a direct and ongoing exposure pathway for the general population. In Australia, nationally comparable drinking water data remain limited. This study presents the first nationwide citizen science project of...
Wejdan Alghamdi, Ivanhoe K. H. Leung, Bradley O. Clarke· Environmental Pollution· 0 citations
Regulatory assessment of per- and polyfluoroalkyl substances (PFASs) in European surface waters is shifting from a single-compound environmental quality standard (EQS) for perfluorooctane sulfonic acid (PFOS) toward a potency-weighted sum of 25 PFASs criterion under the revised Water Framework Directive (WFD). This env...
G. Schertzinger, Raquel González de Vega, Viktoria Müller et al.· Toxics· 0 citations
BACKGROUND
Phthalate plasticizers are widely detected in finished drinking water and are frequently discussed in the context of endocrine disruption. Yet global syntheses rarely integrate (i) between-study heterogeneity, (ii) co-occurrence structure, and (iii) probabilistic screening-level risk characterization under c...
Azza Naïja, Omnia Mohamed, D. Malouche et al.· Science of the Total Environ...· 0 citations
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