Detection of Per- and Polyfluoroalkyl Substances (PFAS) by Interrupted Energy Transfer
Alberto Concellón1,2, Timothy M Swager1
1Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
Angewandte Chemie (International Ed. in English)
|October 5, 2023
Summary
A new sensor detects per- and polyfluoroalkyl substances (PFAS) in water using a polymer and dye system. This technology offers selective detection of harmful chemicals like PFOA and PFOS in water distribution systems.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Materials Science
Background:
- Per- and polyfluoroalkyl substances (PFAS) are widespread environmental contaminants of significant concern.
- Current continuous monitoring technologies for PFAS in water distribution systems are lacking.
Purpose of the Study:
- To develop a selective ratiometric sensing approach for detecting perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) in aqueous environments.
- To create a sensor capable of continuous monitoring within water distribution infrastructures.
Main Methods:
- Utilized a highly fluorinated poly(p-phenylene ethynylene) and an embedded fluorinated squaraine dye for ratiometric sensing.
- Leveraged excitonic transport and Dexter energy transfer mechanism, modulated by PFAS interaction with polymer-dye electronic coupling.
- Evaluated sensor performance in spin-coated films and polymer nanoparticles.
Main Results:
- Achieved selective detection of PFOA and PFOS at μg/L concentrations.
- Demonstrated selective detection limits of approximately 150 ppb for polymer films and 50 ppb for polymer nanoparticles.
- Confirmed sensor functionality is independent of water type, showing similar responses in milliQ and well water.
Conclusions:
- The developed ratiometric sensing approach provides a promising method for continuous PFAS monitoring.
- The polymer/dye system exhibits selective and sensitive detection of key PFAS compounds.
- The sensor's robustness across different water types supports its potential application in real-world water monitoring scenarios.
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