Furthering the Capabilities of Diffusive-Gradient Passive Samplers for Per- and Polyfluoroalkyl Substances

Per- and polyfluoroalkyl substances (PFAS) are chemical pollutants of growing concern for many stakeholders. Due to their ubiquity, persistence in the environment, and potential for toxicity at low environmental concentrations, it is necessary to have convenient and reliable methods to measure PFAS in natural waters. Passive sampling methods (in situ preconcentration of PFAS) may be suitable for monitoring situations. One passive sampling design successfully employed for other, well studied contaminants (e.g., methylmercury) is the diffusive gradient in thin film sampler (DGT). However, the application of DGT for PFAS requires development and validation. Here, we iterate on previous PFAS-DGT studies by introducing a redesigned diffusive gradient sampler for PFAS in water and show that it reliably measures 25 PFAS in water, consistent with diffusion theory. Diffusion and whole-sampler uptake rates consistently agreed with model predictions within ±50% relative difference, including when tested at cold temperature (5 °C). In field and laboratory deployments, DGT samplers measured PFAS concentrations within ±23% of grab sample results on average in each case─better performance than codeployed microporous polyethylene tube passive samplers. Based on the evidence in this study, the DGT passive sampler is a promising tool for consistently and accurately passively sampling PFAS in natural waters.

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Publication Details

Journal
Environmental Science & Technology
Published
2025-05-08
DOI
https://doi.org/10.1021/acs.est.4c14136
Citations
3
Primary Topic
Per- and polyfluoroalkyl substances research
Type
article
Field-Weighted Citation Impact
2.58

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article

Furthering the Capabilities of Diffusive-Gradient Passive Samplers for Per- and Polyfluoroalkyl Substances

Rainer Lohmann, Šimon Vojta, Jarod Snook, Jitka Bečanová
3 citations
Environmental Science & Technology
Per- and polyfluoroalkyl substances research
2.58
article

Furthering the Capabilities of Diffusive-Gradient Passive Samplers for Per- and Polyfluoroalkyl Substances

Rainer Lohmann, Šimon Vojta, Jarod Snook, Jitka Bečanová
article en
3 citations

Abstract

Per- and polyfluoroalkyl substances (PFAS) are chemical pollutants of growing concern for many stakeholders. Due to their ubiquity, persistence in the environment, and potential for toxicity at low environmental concentrations, it is necessary to have convenient and reliable methods to measure PFAS in natural waters. Passive sampling methods (in situ preconcentration of PFAS) may be suitable for monitoring situations. One passive sampling design successfully employed for other, well studied contaminants (e.g., methylmercury) is the diffusive gradient in thin film sampler (DGT). However, the application of DGT for PFAS requires development and validation. Here, we iterate on previous PFAS-DGT studies by introducing a redesigned diffusive gradient sampler for PFAS in water and show that it reliably measures 25 PFAS in water, consistent with diffusion theory. Diffusion and whole-sampler uptake rates consistently agreed with model predictions within ±50% relative difference, including when tested at cold temperature (5 °C). In field and laboratory deployments, DGT samplers measured PFAS concentrations within ±23% of grab sample results on average in each case─better performance than codeployed microporous polyethylene tube passive samplers. Based on the evidence in this study, the DGT passive sampler is a promising tool for consistently and accurately passively sampling PFAS in natural waters.

Environmental Science & TechnologyVol. 59(19)
University of Rhode Island (US)
Strategic Environmental Research and Development Program, National Institute of Environmental Health Sciences
Openalex Percentile: Top 12%
Per- and polyfluoroalkyl substances research
2.58
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Furthering the Capabilities of Diffusive-Gradient Passive Samplers for Per- and Polyfluoroalkyl Substances — Rainer Lohmann, Šimon Vojta, et al. · Environmental Science & Technology (2025) | TGRS Research Map | TGRS