School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
Shanghai Key Laboratory of High-Resolution Electron Microscopy, ShanghaiTech University, Shanghai, 201210, China.
Nat Commun. 2022 Dec 24;13(1):7936. doi: 10.1038/s41467-022-35674-8.
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.
分子识别是设计用于挥发性有机化合物 (VOC) 的敏感和选择性传感器的一种有吸引力的方法。尽管有机大环和笼已经通过其在液体中的自适应口袋很好地发展起来以识别有机物，但用于气体检测的多孔固体需要平衡适应性和鲁棒性的精心设计。在这里，我们报告了一种由环境敏感荧光团构建的动态 3D 共价有机骨架 (dynaCOF)，它可以在吸附气体和蒸气时进行协同和自适应结构转变。该 COF 能够快速可靠地检测各种 VOC，即使在潮湿条件下对非极性碳氢化合物气体也是如此。自适应客体包含放大了主客体相互作用，并通过它们的极性和大小/形状促进了有机蒸气的区分，而共价连接的 3D 交织网络确保了材料的鲁棒性和一致性。目前的结果为具有分子特异性响应的各种 VOC 的多路荧光传感铺平了道路。
