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Three-Dimensional Ionic Covalent Organic Frameworks for Rapid, Reversible, and Selective Ion Exchange

Li, Zonglong, Li, Hui, Guan, Xinyu, Tang, Junjie, Yusran, Yusran, Li, Zhan, Xue, Ming, Fang, Qianrong, Yan, Yushan, Valtchev, Valentin, Qiu, Shilun·2017·Journal of the American Chemical Society

Abstract

Covalent organic frameworks (COFs) have emerged as functional materials for various potential applications. However, the availability of three-dimensional (3D) COFs is still limited, and nearly all of them exhibit neutral porous skeletons. Here we report a general strategy to design porous positively charged 3D ionic COFs by incorporation of cationic monomers in the framework. The obtained 3D COFs are built of 3-fold interpenetrated diamond net and show impressive surface area and CO 2 uptakes. The ion-exchange ability of 3D ionic COFs has been highlighted by reversible removal of nuclear waste model ions and excellent size-selective capture for anionic pollutants. This research thereby provides a new perspective to explore 3D COFs as a versatile type of ion-exchange materials.

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Metadata

Authors
Li, Z., Li, H., Guan, X., Tang, J., Yusran, Y., Li, Z., Xue, M., Fang, Q., Yan, Y., Valtchev, V., & Qiu, S.
Venue
Journal of the American Chemical Society
Published
2017-11-29
Volume
139
Issue
49
Pages
17771-17774
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2768285209
Cited by
269
References
0
FWCI
10.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Three-Dimensional Ionic Covalent Organic Frameworks for Rapid, Reversible, and Selective Ion Exchange. https://app.cochat.ai/papers/10.1021/jacs.7b11283
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Li, Z., Li, H., Guan, X., Tang, J., Yusran, Y., Li, Z., Xue, M., Fang, Q., Yan, Y., Valtchev, V., & Qiu, S. (2017). Three-Dimensional Ionic Covalent Organic Frameworks for Rapid, Reversible, and Selective Ion Exchange. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.7b11283

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.