Advancements in smart electrochemical gas sensors: bridging IoT, self-powering, and machine learning for healthcare
Electrochemical gas sensors evolve into smart, integrated platforms driven by IoT, self-powered systems, and ML. This review outlines their use as multifunctional devices for disease detection and personalized healthcare.
Authors
- Jiaying Sun (ORCID: https://orcid.org/0000-0002-6645-2144)
- Yanjie Hu (ORCID: https://orcid.org/0000-0003-1147-7632)
- Hongyang Guo
- Zhuoru Huang (ORCID: https://orcid.org/0000-0002-0233-5459)
- Ping Wang (ORCID: https://orcid.org/0000-0002-7704-2538)
- Y. J. Zeng (ORCID: https://orcid.org/0000-0001-5673-3447)
- Hao Wan
- Yong Zhou (ORCID: https://orcid.org/0000-0002-7449-0538)
- Haoting Zhang (ORCID: https://orcid.org/0000-0003-0391-3449)
- Xiaojing Zhang (ORCID: https://orcid.org/0009-0006-2130-3475)
Institutions
- Sir Run Run Shaw Hospital (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Sensors & Diagnostics
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5sd00077g
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Natural Science Foundation of Zhejiang Province