Abstract
Early cancer screening can significantly improve therapeutic outcomes, volatile organic compounds (VOCs) and other related gases in exhaled breath, as cancer-specific biomarkers, offer a novel approach for non-invasive diagnosis. Metal oxide semiconductor (MOS)-based gas sensors are pivotal for exhaled breath VOCs detection, featuring compact size, cost-effectiveness, and rapid response. This review summarizes the most recent five-year research advances in cancer biomarker detection, and clarifies the core mechanisms of electrical property changes from sensing material-VOCs interactions and key performance metrics including sensitivity, selectivity, humidity tolerance, response/recovery time, stability, and operating temperature. This review also highlights the optimization strategies of sensing materials such as metal doping, surface modification, heterostructure fabrication, and metal oxide-carrier composite synthesis to enhance trace detection, selectivity, and stability via expanded specific surface area, the introduction of active sites and interfacial charge transfer modulation. Finally, this review outlines sensor arrays integrated with machine learning for precise cancer recognition. This review provides theoretical support for the performance optimization and clinical translation of MOS sensors, and facilitates their widespread application in the non-invasive early diagnosis of cancers.
Graphical Abstract
Keywords
MOS Sensor, Exhaled Breath Analysis, Cancer Biomarker, Detection Performance, volatile organic compound
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Date
2026-10-28
Online Available Date
2026-08-23
Revised Date
2026-07-05
Received Date
2026-02-22
Recommended Citation
Guang-Lan Chen, Hui-Hui Luo, Wen-Wen Peng, Shi-Yu Xu, Yu-Ting Li, Hui-Jie Ke, Si-Hui Zhong, Jia-Ao Wei, Tong Chen, Xiao-Kun Li, You-Lin Zhang, Wei Chen.
Metal Oxide Semiconductor Gas Sensors for Exhaled Breath Cancer Biomarker Detection[J]. Journal of Electrochemistry,
2026,
32(10): 2417005.
DOI: 10.61558/2993-074X.3623
Available at:
https://jelectrochem.xmu.edu.cn/journal/vol32/iss10/2

