A chemiresistive-potentiometric multivariate sensor for discriminative gas detection

Hong Zhang, Zuobin Zhang, Zhou Li, Hongjie Han, Weiguo Song and Jianxin Yi ()
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Hong Zhang: University of Science and Technology of China
Zuobin Zhang: University of Science and Technology of China
Zhou Li: University of Science and Technology of China
Hongjie Han: University of Science and Technology of China
Weiguo Song: University of Science and Technology of China
Jianxin Yi: University of Science and Technology of China

Nature Communications, 2023, vol. 14, issue 1, 1-9

Abstract: Abstract Highly efficient gas sensors able to detect and identify hazardous gases are crucial for numerous applications. Array of conventional single-output sensors is currently limited by problems including drift, large size, and high cost. Here, we report a sensor with multiple chemiresistive and potentiometric outputs for discriminative gas detection. Such sensor is applicable to a wide range of semiconducting electrodes and solid electrolytes, which allows to tailor and optimize the sensing pattern by tuning the material combination and conditions. The sensor performance is boosted by equipping a mixed-conducting perovskite electrode with reverse potentiometric polarity. A conceptual sensor with dual sensitive electrodes achieves superior three-dimensional (sub)ppm sensing and discrimination of humidity and seven hazardous gases (2-Ethylhexanol, ethanol, acetone, toluene, ammonia, carbon monoxide, and nitrogen dioxide), and enables accurate and early warning of fire hazards. Our findings offer possibilities to design simple, compact, inexpensive, and highly efficient multivariate gas sensors.

Date: 2023
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DOI: 10.1038/s41467-023-39213-x

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