Ultrasensitive visualized artificial olfactory system

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.