电子鼻
金属有机骨架
材料科学
光子晶体
光子学
纳米技术
指纹(计算)
计算机科学
光电子学
有机化学
化学
人工智能
吸附
作者
Lei Gao,Donghui Kou,Ruicheng Lin,Wei Ma,Shufen Zhang
出处
期刊:Small
[Wiley]
日期:2024-01-28
标识
DOI:10.1002/smll.202308641
摘要
Abstract The photonic nose inspired by the olfactory system is an integrated detection platform constructed by multiple sensing units as channels. However, in the detection of volatile organic compounds (VOCs), the sensing results that cannot be directly readable and the poor ability to distinguish analytes with similar chemical properties are the main challenges faced by this sensor. Here, 8 metal‐organic frameworks (MOF)‐based photonic crystals are used as the basic sensing units to construct a photonic nose detection platform. The microscopic adsorption of VOCs by MOFs enables the photonic crystals (PCs) to produce macroscopic structural color output, and further makes the photonic nose have specific color fingerprints for different VOCs, the response time of all PCs to VOCs can be within 1 s. Through the color fingerprint, the visual identification of VOCs produced by 5 common solvent vapors is realized, and 9 VOCs with similar chemical properties are further distinguished. In addition, the application potential of the photonic nose in the actual environment is verified by identifying different contents of benzene in the paint. It is envisaged that the MOF‐based photonic nose has great reference value for the development of intelligent and multi‐component synergistic functional gas sensors.
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