1. Source apportionment of serum PFASs in two highly exposed communities.
- Author
-
Wallis DJ, Barton KE, Knappe DRU, Kotlarz N, McDonough CA, Higgins CP, Hoppin JA, and Adgate JL
- Subjects
- Humans, Nutrition Surveys, Multivariate Analysis, Principal Component Analysis, Fluorocarbons analysis, Drinking Water analysis, Alkanesulfonic Acids analysis, Water Pollutants, Chemical analysis
- Abstract
Per- and polyfluoroalkyl substances (PFASs) are synthetic chemicals that are ubiquitous in environmental and biological systems, including human serum. PFASs are used in many products and industrial processes and are tied to numerous health effects. Due to multiple sources and exposure pathways, methods are needed to identify PFAS sources in communities to develop targeted interventions. We assessed effectiveness of three source apportionment methods (UNMIX, positive matrix factorization [PMF], and principal component analysis - multiple linear regression [PCA-MLR]) for identifying contributors to human serum PFAS concentrations in two highly exposed populations in Colorado and North Carolina where drinking water was contaminated via upstream sources, including a Space Force base and a fluorochemical manufacturing plant. UNMIX and PMF models extracted three to four potential PFAS exposure sources in the Colorado and North Carolina cohorts while PCA-MLR classified two in each cohort. No sources were characterized in NHANES (National Health and Nutrition Examination Study). Results suggest that these three methods can successfully identify sources in highly exposed populations. Future PFAS exposure research should focus on analyzing serum for an expanded PFAS panel, identifying cohorts with other distinct point source exposures, and combining biological and environmental data to better understand source apportionment results in the context of PFAS toxicokinetic behavior., Competing Interests: Declaration of competing interest This work was supported by the National Institute of Environmental Health Sciences (NIEHS) under Grants No. R21ES029394 (CO), T32ES007046, 1R21ES029353 & P42ES031009 (NC) and the Environmental Protection Agency under Grant No. G18A112656081. Any opinion, findings, conclusions, or recommendations expressed are those of the authors and do not necessarily reflect the views of the NIH or the EPA. This publication was developed under Assistance Agreement No. R839482 awarded by the U.S. Environmental Protection Agency to Dr. Christopher P. Higgins., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)
- Published
- 2023
- Full Text
- View/download PDF