Multi-Channel Intelligent Electronic Nose for Rapid Identification of Complex Hazardous Gases
We report an intelligent electronic nose based on the 18-channel sensors (16 gas sensors, 1 humidity sensor and 1 temperature sensor), integrated with Drosophila-inspired neural network algorithm. This microsystem is capable of detecting toxic and harmful gases within 1 s and identifying various hazardous gases with a high accuracy of 98.5% even in harsh environments such as device damage and high humidity. It demonstrates the potential for precise and rapid gas recognition.
Authors
- Fangyu Zhao (ORCID: https://orcid.org/0000-0002-4191-7355)
- Jiachuang Wang (ORCID: https://orcid.org/0000-0001-5066-3361)
- Tiger H. Tao (ORCID: https://orcid.org/0000-0002-6583-5039)
- Nan Qin
- Wenyuan Liu (ORCID: https://orcid.org/0000-0002-8728-2703)
Institutions
- State Key Laboratory of Transducer Technology (CN)
- Shanghai Institute of Microsystem and Information Technology (CN)
Publication Details
- Published
- 2025-03-09
- DOI
- https://doi.org/10.1109/edtm61175.2025.11040415
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Science and Technology Major Project
- Youth Innovation Promotion Association
- National Science Fund for Distinguished Young Scholars
- Key Research Program of Frontier Science, Chinese Academy of Sciences