膜
冠醚
共价键
选择性
共价有机骨架
渗透
价(化学)
化学
分子识别
分子工程
聚合物
化学工程
合成膜
离子
材料科学
纳米技术
组合化学
合理设计
金属有机骨架
乙醚
分子
配体(生物化学)
选择性吸附
纳滤
水溶液
模块化设计
离解(化学)
混合材料
萃取(化学)
聚合膜
作者
Ziye Song,Kai Liu,Wendi Zhang,William Wang Dirckinck-Holmfeld,Saisai Yu,Zhe Jia,Yuanhan Liu,管玉涛,Ming Liu
出处
期刊:ACS Nano
[American Chemical Society]
日期:2026-10-20
标识
DOI:10.1021/acsnano.6c14330
摘要
Abstract Membrane-based separation offers a highly promising paradigm for the precise extraction of monovalent cations, which is critical for bioinspired engineering and advanced ion-separation applications. However, efficient discrimination among these cations remains profoundly challenging owing to their nearly identical valence states and comparable subnanometer hydrated diameters. Herein, we report the rational design and fabrication of crown ether (CE)-functionalized covalent organic framework (COF) membranes that achieve efficient mono/monovalent cation separation while maintaining rapid ion transport. The integration of CE moieties into the framework architectures plays a dual role: narrowing the channels to the angstrom scale while simultaneously serving as specific recognition sites for target cations through host–guest interactions. Consequently, the optimal CE-functionalized TFP-TDA-2 COF membrane exhibits an exceptional K+/Na+ selectivity of 64 with a K+ permeation rate of 41.2 mmol m–2 h–1, surpassing previously reported COF membranes. Theoretical simulations reveal that, while the COF channels provide rapid transport pathway, synergistic CE recognition substantially lowers the thermodynamic dehydration and translocation barrier for K+ relative to Na+. Furthermore, the modular nature of this strategy enables the specific recognition of other targeted cations through precise side-chain engineering by covalently anchoring different crown ether derivatives. This study demonstrates an effective structural engineering strategy for efficient monovalent cation separation, offering an approach for the development of next-generation, single-ion-selective membranes for broad real-world applications.
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