Cited by 91Per- and polyfluoroalkyl substances researchToxic Organic Pollutants ImpactFluorine in Organic Chemistry

Spatial and temporal variability of perfluoroalkyl substances in the Laurentian Great Lakes

Remucal, Christina K.·2019·Environmental Science: Processes & Impacts

Abstract

Per- and polyfluoroalkyl substances (PFAS) are a diverse group of fluorinated organic chemicals that have been used in industrial and consumer applications since the 1950s. PFAS are resistant to chemical and biological degradation and are ubiquitous in the environment, including in water, sediment, and biota in the Laurentian Great Lakes. This critical review evaluates the spatial and temporal variability of commonly studied perfluoroalkyl sulfonates (PFSAs) and perfluoroalkyl carboxylates (PFCAs) in the Great Lakes by synthesizing data collected in water, surface sediment, sediment cores, lake trout (Salvelinus namaycush), and herring gull (Larus argentatus) eggs. The lowest PFAS concentrations in all matrices are detected in Lake Superior, which is located in the most pristine region of the Great Lakes Basin. In contrast, higher concentrations are observed in Lakes Erie and Ontario, which are more impacted by industrial activity and wastewater discharge. The distribution of individual PFAS compounds also varies across the lakes in response to changes in PFAS sources, with higher proportions of PFSAs in the eastern lakes. Sediment and biota are enriched in long chain PFSAs and PFCAs relative to concentrations in the water column, as expected based on predicted partitioning behavior. Sediment cores and bioarchives consistently demonstrate that PFAS concentrations increased in the Great Lakes from the initial time points until the early 2000s. The available data indicate that PFOS and PFOA concentrations decline after this period in the upper Great Lakes, but are stable in Lake Ontario. However, these trends depend on the lake, the individual compound, and the organism considered.

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  • Several authors reviewed seasonal, spatial, and temporal variation of PFAS in surface water matrices, biota, and sediments; however, they did not address the global trends of occurrences of PFAS, rather the reviews were specific to particular geographic areas.

    “For example, several authors reviewed seasonal, spatial, and temporal variation of PFAS in surface water matrices, biota, and sediments; however, they did not address the global trends of occurrences of PFAS, rather the reviews were specific to particular geographic areas (e.g., Sweden, Laurentine, Great Lakes, China) (Banzhaf et al., 2017; Remucal, 2019; Wang et al., 2020, 2015).”

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References 88 · Cited by 91

Authors
Remucal, C. K.
Affiliations
University of Wisconsin–Madison (US)
Corresponding author
Remucal, Christina K.
Venue
Environmental Science: Processes & Impacts
Published
2019
Volume
21
Issue
11
Pages
1816-1834
ISSN
  • 2050-7887 (ISSN-L)
  • 2050-7895
OpenAlex
W2963859410
Cited by
91
References
88
Citations by year
2026: 16 · 2025: 25 · 2024: 14 · 2023: 6 · 2022: 15 · 2021: 9 · 2020: 6
FWCI
0.63
Type
journal article
Language
en
Open access
closed
Locations
  • Environmental Science Processes & Impacts (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Toxic Organic Pollutants Impact
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Fluorine in Organic Chemistry
Keywords
per- and polyfluoroalkyl substances, PFAS, Great Lakes, spatiotemporal variation, perfluoroalkyl sulfonates, perfluoroalkyl carboxylates, PFOS, perfluorooctanoic acid, sediment core, herring gull eggs, sediment-water partitioning, Lake Superior, Lake Ontario, Lake Erie, wastewater discharge
MeSH terms
Animals, Carboxylic Acids, Environmental Monitoring, Fluorocarbons, Great Lakes Region, Trout, Water Pollutants, Chemical, Geologic Sediments, Charadriiformes, Lakes, Spatio-Temporal Analysis

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