Multicomponent PFCAs Capture, Detection, Differentiation, and Aqueous-Phase Removal with Adaptive Luminescent Organic Cages

Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are persistent, nonbiodegradable pollutants that accumulate in water, posing threats to human health and aqueous ecosystems. There is currently a need for technologies capable of both multicomponent detection and removal of PFAS from contaminated sources. Here, we show that two low-cost, easy-to-prepare fluorescent porous organic cages remove efficiently trace amounts of a representative perfluoroalkyl carboxylic acids (PFCAs), perfluorooctanoic acid (PFOA), with pseudo-second-order rate constants (kobs) as high as (1.273 ± 0.001) × 104 g mg-1 h-1, while reducing PFOA levels from 1500 ppt to as low as 3.49 ± 0.21 ppt. By integrating these cages into a high-throughput sensor array and using substrate-selective fluorescence response "fingerprints" for precise discrimination, accurate differentiation of PFCAs (C4-C10) with varying carbon chain lengths can also be achieved. This dual-function approach, involving both multicomponent PFAS detection and efficient removal, provides a new and easy-to-implement approach to the environmental monitoring and remediation of PFAS.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2026-10-14
DOI
https://doi.org/10.1021/acsami.6c17211
Primary Topic
Per- and polyfluoroalkyl substances research
Type
article
Field-Weighted Citation Impact
0.00

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article

Multicomponent PFCAs Capture, Detection, Differentiation, and Aqueous-Phase Removal with Adaptive Luminescent Organic Cages

Jonathan L. Sessler, Richard J. Hooley, Yongping Chai, Junyi Chen et al.
ACS Applied Materials & Interfaces
Per- and polyfluoroalkyl substances research
article

Multicomponent PFCAs Capture, Detection, Differentiation, and Aqueous-Phase Removal with Adaptive Luminescent Organic Cages

Jonathan L. Sessler, Richard J. Hooley, Yongping Chai, Junyi Chen, Xiaodong Chi, Yanlei He, Wenjie Wang
article en

Abstract

Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are persistent, nonbiodegradable pollutants that accumulate in water, posing threats to human health and aqueous ecosystems. There is currently a need for technologies capable of both multicomponent detection and removal of PFAS from contaminated sources. Here, we show that two low-cost, easy-to-prepare fluorescent porous organic cages remove efficiently trace amounts of a representative perfluoroalkyl carboxylic acids (PFCAs), perfluorooctanoic acid (PFOA), with pseudo-second-order rate constants (kobs) as high as (1.273 ± 0.001) × 104 g mg-1 h-1, while reducing PFOA levels from 1500 ppt to as low as 3.49 ± 0.21 ppt. By integrating these cages into a high-throughput sensor array and using substrate-selective fluorescence response "fingerprints" for precise discrimination, accurate differentiation of PFCAs (C4-C10) with varying carbon chain lengths can also be achieved. This dual-function approach, involving both multicomponent PFAS detection and efficient removal, provides a new and easy-to-implement approach to the environmental monitoring and remediation of PFAS.

ACS Applied Materials & Interfaces
University of California, Riverside (US), Huazhong University of Science and Technology (CN), The University of Texas at Austin (US)
Welch Foundation, Natural Science Foundation of Hubei Province, Shenzhen Science and Technology Innovation Program, Division of Chemistry
Responsible consumption and production, Clean water and sanitation
Openalex Percentile: Top 24%
Per- and polyfluoroalkyl substances research
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