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Metal oxide semiconductors for gas sensing

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Goel, Neeraj, Kunal, Kishor, Kushwaha, Aditya, Kumar, Mahesh·2023·Engineering Reports

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Abstract

The usage of the gas sensor has been increasing very rapidly in the industry and in daily life for various potential applications. In the recent years, metal oxide semiconductors (MOS) become the primary choice for designing highly sensitive, stable, and low‐cost real‐life applications‐based gas sensors due to their inherent physical and chemical properties. Researchers have proposed numerous sensing mechanisms to explain the functionality of MOS‐based gas sensors. In this review, we have comprehensively covered different sensing mechanisms used for MOS. We have also discussed different parameters affecting the sensitivity and selectivity of the gas sensors. Moreover, the different techniques used to enhance the gas sensing response of MOS‐based sensors are also extensively covered. And finally, we give our prospective on recent opportunities and challenges on the future applications of MOS‐based gas sensors.

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Authors: Goel, N., Kunal, K., Kushwaha, A., & Kumar, M.
Venue: Engineering Reports
Publisher: Wiley
Published: 2022-12-08
Volume: 5
Issue: 6
ISSN: 2577-8196 (ISSN-L)
DOI: 10.1002/eng2.12604
OpenAlex: W4311953715
Cited by: 294
References: 88
FWCI: 16.33
Type: journal article
Language: en
Open access: gold

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.

Metal oxide semiconductors for gas sensing

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