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Date
2024
Abstract
The exploration of efficient artificial olfactory systems has always been a hot topic in the field of high-performance chemical sensors. However, it is extremely challenging to promote the capabilities regarding the sensing signal perception, transfer and recognition. We tried to build a brand new visual artificial olfactory system that combines vision and smell together. Firstly, to realize the highly sensitive and specific recognition of different types of analytes by the reaction-based olfactory receptor, multi-mode response probes were proposed. Secondly, to simulate the olfactory mucosa, a series of hydrogels with different structures were explored to improve the fidelity of the visualized signal. Furthermore, to realize the function of the olfactory center, a super-recognition method of the image signal based on deep learning was established. Finally, an ultrasensitive visualized artificial olfactory system with capabilities of intelligent and super-recognition of analytes was constructed and utilized for various analytes identification.
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Publisher
University of Limerick
Citation
20th Sensors and Their Applications Conference, 2024, Paper No: 19
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Paper_19.pdf
Adobe PDF, 171.97 KB
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Funding Information
This work was supported by the National Key Research and Development Program of China (2022YFA1205500), National Natural Science Foundation of China (52172168), Key Research Program of Frontier Sciences (CAS Grant No. ZDBS-LY-JSC029)