Optimal gas sensor combination selection method for low cost machine olfaction applicated in food discrimination

Zhang, Ruoyu; Chen, Dongliang; Xing, Chong; Wu, Qiuju; Xu, Lei

doi:10.1016/j.sna.2023.114936

Sensors and Actuators A: Physical

2024

DOI: 10.1016/j.sna.2023.114936

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Optimal gas sensor combination selection method for low cost machine olfaction applicated in food discrimination

Ruoyu Zhang,

Dongliang Chen,

Chong Xing

et al.

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Machine Learning‐Assisted Research and Development of Chemiresistive Gas Sensors

Yuan,

Luo,

Meng

2024

Adv Eng Mater

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The traditional trial‐and‐error testing to develop high‐performance chemiresistive gas sensors is inefficient and fails to meet the high demand for sensors in various industries. Machine learning can address the limitations of trial‐and‐error testing and can be effectively utilized for enhancing, developing, and designing sensors. This review first discusses the prediction of critical mechanism parameters of gas‐sensitive materials by machine learning, including adsorption energy, band gap, thermal conductivity, and dielectric constant. Secondly, it proposes that machine learning can improve five performance indexes: selectivity, response/recovery time, stability, sensitivity, and accuracy. Machine learning also facilitates the development and structural design of gas‐sensitive new materials. In addition, the potential of machine learning to optimize the sensor arrays is investigated, including reducing the number of sensors, identifying the best array combination, and improving recognition and detection capabilities. Finally, this paper discusses the challenges and limitations of machine‐learning assisted chemiresistive gas sensors in practical applications and envisions their future development.This article is protected by copyright. All rights reserved.

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Machine Learning‐Assisted Research and Development of Chemiresistive Gas Sensors

Yuan,

Luo,

Meng

2024

Adv Eng Mater

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Optimal gas sensor combination selection method for low cost machine olfaction applicated in food discrimination

Cited by 1 publication

References 27 publications

Machine Learning‐Assisted Research and Development of Chemiresistive Gas Sensors

Machine Learning‐Assisted Research and Development of Chemiresistive Gas Sensors

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