期刊
MICROCHEMICAL JOURNAL
卷 181, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.microc.2022.107833
关键词
Gas sensor; Flexible electronics; Self-powered sensor; Artificial intelligence; Environmental sensing
资金
- Fundamental Research Funds for the Central Universities [2242022 k330047]
- The dual creative talents from Jiangsu Province [JSSCBS20210152]
- National Natural Science Foundation of Jiangsu Province [BK20221456]
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing [2022-KF-25]
- Open Fund of Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province [JBGS011]
- Zijing Youth Scholars from Southeast University
Gas and environmental parameters monitoring is a hot research topic in the field of the Internet of Things and smart systems. This review paper discusses the development trends of next-generation gas sensors, including micro/nanostructures, multi-functional purpose, assisted self-powered/zero power, and machine learning-enhanced methodology. Various manufacturing technologies and mechanisms are introduced to improve the sensitivity and multi-functional applications of gas sensors. The paper also highlights the importance of smart gas detection for medical and healthcare applications.
Gas and environmental parameters monitoring is a hot research topic along with the technology development trends of the Internet of Things and smart systems (aiming for an early and accurate detection). To introduce next-generation gas sensors, this review paper reported gas electronics from micro/nano to the era of a self-powered and artificially intelligent system. To figure out the development trends of gas sensing, four key issues needed to be noted including micro/nanostructures, multi-functional purpose, assisted self-powered/zero power, and the machine learning-enhanced methodology. To increase sensitivity/early detection and to produce chip-level units, various micro/nanostructures manufacturing technologies were introduced to assist the sensitivity of gas sensors. Flexible 2-D materials and various mechanisms were reported to aim for the detection of extra-low concentrations and mechanically robustness for multi-functional applications. With the aid of the triboelectric/piezoelectric mechanism, the gas devices were widely adopted in environmentally friendly electronics. Moreover, facing the developmental trends in machine learning and sustainable system, smart gas detection with robustness and early/low concentration for medical and healthcare applications was the next engine trend. This review paper not only concluded the development trends of the next-generation gas sensor but also point out the era of the self-powered and artificially intelligent system in gas monitoring.
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