Guest-adaptive molecular sensing in a dynamic 3D covalent organic framework

Lei Wei, Tu Sun, Zhaolin Shi, Zezhao Xu, Wen Wen, Shan Jiang, Yingbo Zhao (), Yanhang Ma () and Yue-Biao Zhang ()
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Lei Wei: ShanghaiTech University
Tu Sun: ShanghaiTech University
Zhaolin Shi: ShanghaiTech University
Zezhao Xu: ShanghaiTech University
Wen Wen: Chinese Academy of Sciences
Shan Jiang: ShanghaiTech University
Yingbo Zhao: ShanghaiTech University
Yanhang Ma: ShanghaiTech University
Yue-Biao Zhang: ShanghaiTech University

Nature Communications, 2022, vol. 13, issue 1, 1-10

Abstract: Abstract Molecular recognition is an attractive approach to designing sensitive and selective sensors for volatile organic compounds (VOCs). Although organic macrocycles and cages have been well-developed for recognising organics by their adaptive pockets in liquids, porous solids for gas detection require a deliberate design balancing adaptability and robustness. Here we report a dynamic 3D covalent organic framework (dynaCOF) constructed from an environmentally sensitive fluorophore that can undergo concerted and adaptive structural transitions upon adsorption of gas and vapours. The COF is capable of rapid and reliable detection of various VOCs, even for non-polar hydrocarbon gas under humid conditions. The adaptive guest inclusion amplifies the host-guest interactions and facilitates the differentiation of organic vapours by their polarity and sizes/shapes, and the covalently linked 3D interwoven networks ensure the robustness and coherency of the materials. The present result paves the way for multiplex fluorescence sensing of various VOCs with molecular-specific responses.

Date: 2022
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DOI: 10.1038/s41467-022-35674-8

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