Jrad Asmaa, Das Gobinda, Alkhatib Nour, Prakasam Thirumurugan, Benyettou Farah, Varghese Sabu, Gándara Felipe, Olson Mark, Kirmizialtin Serdal, Trabolsi Ali
NYUAD Water Research Center, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Chemistry Program, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Nat Commun. 2024 Dec 2;15(1):10490. doi: 10.1038/s41467-024-53945-4.
The contamination of water by per- and polyfluorinated substances (PFAS) is a pressing global issue due to their harmful effects on health and the environment. This study explores a cationic covalent organic framework (COF), TG-PD COF, for the efficient detection and removal of perfluorooctanoic acid (PFOA) from water. Synthesized via a simple sonochemical method, TG-PD COF shows remarkable selectivity and sensitivity to PFOA, with a detection limit as low as 1.8 µg·L⁻¹. It achieves significant PFOA adsorption exceeding 2600 mg·g⁻¹ within seconds over several cycles in batch mode and complete removal at environmentally relevant concentrations in column adsorption. Results reveal unique adsorption behavior characterized by two phases, leveraging PFOA aggregation through hydrophobic interactions. Computer simulations elucidate the mechanisms underlying TG-PD COF's sensing, adsorption, and charge transfer dynamics. Our findings position this COF design strategy as a promising solution for combating PFAS contamination in water bodies worldwide.
全氟和多氟烷基物质（PFAS）对水的污染是一个紧迫的全球问题，因为它们对健康和环境有害。本研究探索了一种阳离子共价有机框架（COF），即TG-PD COF，用于从水中高效检测和去除全氟辛酸（PFOA）。通过简单的声化学方法合成的TG-PD COF对PFOA表现出显著的选择性和灵敏度，检测限低至1.8 µg·L⁻¹。在分批模式下，它在几个循环中几秒钟内就能实现超过2600 mg·g⁻¹的显著PFOA吸附，在柱吸附中能在环境相关浓度下完全去除。结果揭示了独特的吸附行为，其特征为两个阶段，通过疏水相互作用利用PFOA聚集。计算机模拟阐明了TG-PD COF传感、吸附和电荷转移动力学的潜在机制。我们的研究结果将这种COF设计策略定位为解决全球水体中PFAS污染的一种有前景的解决方案。
