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A chemiresistive-potentiometric multivariate sensor for discriminative gas detection

Author

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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)

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.

Suggested Citation

  • Hong Zhang & Zuobin Zhang & Zhou Li & Hongjie Han & Weiguo Song & Jianxin Yi, 2023. "A chemiresistive-potentiometric multivariate sensor for discriminative gas detection," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39213-x
    DOI: 10.1038/s41467-023-39213-x
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    1. Xiaomeng Yin & Hao Zhang & Xuezhi Qiao & Xinyuan Zhou & Zhenjie Xue & Xiangyu Chen & Haochen Ye & Cancan Li & Zhe Tang & Kailin Zhang & Tie Wang, 2024. "Artificial olfactory memory system based on conductive metal-organic frameworks," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    2. Jiayu Li & Wenzhe Si & Lei Shi & Ruiqin Gao & Qiuju Li & Wei An & Zicheng Zhao & Lu Zhang & Ni Bai & Xiaoxin Zou & Guo-Dong Li, 2024. "Essential role of lattice oxygen in hydrogen sensing reaction," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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