4.8 Article

Hydrolytically Stable Ionic Fluorogels for High-Performance Remediation of Per- and Polyfluoroalkyl Substances (PFAS) from Natural Water

Journal

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
Volume 61, Issue 41, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/anie.202208150

Keywords

Networks; PFAS; Polymers; Water Purification

Funding

  1. Strategic Environmental Research and Development Program of the U.S. Department of Defense [ER20-1211]
  2. National institute of Environmental Health Sciences [P42ES031007]
  3. NC Water Resources Research Institute (WRRI)
  4. US Geological Survey (USGS) [2021-2501-01, 20213441-02]
  5. Dobbins Fellowship
  6. NC Policy Collaboratory
  7. National Science Foundation [CHE-1828183, CHE0922858]

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In this study, a novel polymer network material with a synergistic combination of ionic and fluorous components was reported for the efficient removal of anionic PFAS from water. The material showed significant removal efficiency for 21 legacy and emerging PFAS and could be regenerated for multiple cycles of use.
PFAS are known bioaccumulative and persistent chemicals which pollute natural waters globally. There exists a lack of granular sorbents to efficiently remove both legacy and emerging PFAS at environmentally relevant concentrations. Herein, we report a class of polymer networks with a synergistic combination of ionic and fluorous components that serve as granular materials for the removal of anionic PFAS from water. A library of Ionic Fluorogels (IFs) with systematic variation in charge density and polymer network architecture was synthesized from hydrolytically stable fluorous building blocks. The IFs were demonstrated as effective sorbents for the removal of 21 legacy and emerging PFAS from a natural water and were regenerable over multiple cycles of reuse. Comparison of one IF to a commercial ion exchange resin in mini-rapid small-scale column tests demonstrated superior performance for the removal of short-chain PFAS from natural water under operationally relevant conditions.

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