Gao Lei, Kou Donghui, Lin Ruicheng, Ma Wei, Zhang Shufen
State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, Dalian University of Technology, 2# Linggong Rd, Dalian, 116024, China.
Small. 2024 Jul;20(27):e2308641. doi: 10.1002/smll.202308641. Epub 2024 Jan 28.
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.
受嗅觉系统启发的光子鼻是一种由多个传感单元作为通道构建的集成检测平台。然而，在挥发性有机化合物（VOCs）的检测中，传感结果不可直接读取以及区分化学性质相似的分析物的能力较差是该传感器面临的主要挑战。在此，8种基于金属有机框架（MOF）的光子晶体被用作基本传感单元来构建光子鼻检测平台。MOF对VOCs的微观吸附使光子晶体（PCs）产生宏观结构颜色输出，并进一步使光子鼻对不同的VOCs具有特定的颜色指纹，所有PCs对VOCs的响应时间可在1秒内。通过颜色指纹，实现了对5种常见溶剂蒸汽产生的VOCs的视觉识别，并进一步区分了9种化学性质相似的VOCs。此外，通过识别油漆中不同含量的苯，验证了光子鼻在实际环境中的应用潜力。可以设想，基于MOF的光子鼻对智能和多组分协同功能气体传感器的开发具有很大的参考价值。
