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Journal of Advanced Ceramics 2023, 12(2): 207-227 https://doi.org/10.26599/JAC.2023.9220694
Review | Open Access | Issue | Published: 10 January 2023

Metal oxide semiconductor gas sensing materials for early lung cancer diagnosis

Show Author's Information Xiaoxi Hea,  Hongfeng Chaia,  Yifan Luoa,c,  Lingfeng Minb,  Marc Debliquyc,  Chao Zhanga( )
School of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China
Department of Respiratory and Critical Care Medicine, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University, Yangzhou 225001, China
Service de Science des Matériaux, Faculté Polytechnique, Université de Mons, Mons 7000, Belgium
Keywords:
gas sensors, metal oxides, exhaled breath analysis, lung cancer (LC) diagnosis
Cite this article:
He X, Chai H, Luo Y, et al. Metal oxide semiconductor gas sensing materials for early lung cancer diagnosis. Journal of Advanced Ceramics, 2023, 12(2): 207-227. https://doi.org/10.26599/JAC.2023.9220694
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Abstract Full text About this article

The urgency of early lung cancer (LC) diagnosis and treatment has been more and more significant. Exhaled breath analysis using gas sensors is a promising way to find out if someone has LC due to its low-cost, non-invasive, and real-time monitoring compared with traditional invasive diagnostic techniques. Among sensor-based gas detection techniques, metal oxide semiconductor’s gas sensors are one of the most important types. This review presents the-state-of-art in metal oxide gas sensors for the diagnosis of early LC. First, the exhaled breath biomarkers are described with emphasis on the concentration of abnormal volatile organic compounds (VOCs) caused by the metabolic process of LC cells. Then, the research status of metal oxide gas sensors in LC diagnosis is summarized. The sensing performance and enhancement strategy of biomarkers provided by metal oxide semiconductor materials are reviewed. Another effective way to improve VOC detection performance is to build a gas sensor array. At the same time, various gas sensors combined with self-powered techniques are mentioned to display a broad development prospect in breath diagnosis. Finally, metal oxide gas sensor-based LC diagnosis is prospected.


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About this article

Metal oxide semiconductor gas sensing materials for early lung cancer diagnosis

Show Author's information Xiaoxi Hea, Hongfeng Chaia, Yifan Luoa,c, Lingfeng Minb, Marc Debliquyc, Chao Zhanga( )
School of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China
Department of Respiratory and Critical Care Medicine, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University, Yangzhou 225001, China
Service de Science des Matériaux, Faculté Polytechnique, Université de Mons, Mons 7000, Belgium

Abstract

The urgency of early lung cancer (LC) diagnosis and treatment has been more and more significant. Exhaled breath analysis using gas sensors is a promising way to find out if someone has LC due to its low-cost, non-invasive, and real-time monitoring compared with traditional invasive diagnostic techniques. Among sensor-based gas detection techniques, metal oxide semiconductor’s gas sensors are one of the most important types. This review presents the-state-of-art in metal oxide gas sensors for the diagnosis of early LC. First, the exhaled breath biomarkers are described with emphasis on the concentration of abnormal volatile organic compounds (VOCs) caused by the metabolic process of LC cells. Then, the research status of metal oxide gas sensors in LC diagnosis is summarized. The sensing performance and enhancement strategy of biomarkers provided by metal oxide semiconductor materials are reviewed. Another effective way to improve VOC detection performance is to build a gas sensor array. At the same time, various gas sensors combined with self-powered techniques are mentioned to display a broad development prospect in breath diagnosis. Finally, metal oxide gas sensor-based LC diagnosis is prospected.

Keywords: gas sensors, metal oxides, exhaled breath analysis, lung cancer (LC) diagnosis

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Publication history
Copyright
Acknowledgements
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Publication history

Received: 26 July 2022
Revised: 03 November 2022
Accepted: 07 November 2022
Published: 10 January 2023
Issue date: February 2023

Copyright

© The Author(s) 2022.

Acknowledgements

This work is supported by the Outstanding Youth Foundation of Jiangsu Province of China under Grant No. BK20211548, the National Natural Science Foundation of China under Grant No. 51872254, the Yangzhou City–Yangzhou University Cooperation Foundation under Grant No. YZ2021153, and the Walloon Region of Belgium through the Interreg V France–Wallonie–Vlaanderen program under PATHACOV project (Grant No. 1.1.297).

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