Gas Sensing for Air Quality Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 468
Special Issue Editors
Interests: machine olfaction; electronic noise; sensor fusion
Special Issues, Collections and Topics in MDPI journals
Interests: gas sensor; microsensor; biosensor
Special Issue Information
Dear Colleagues,
Air quality monitoring is an important research topic in the fields of environmental protection and public safety. Gas sensing technology, as the primary means, is facing rapid development in both basic theory and practical applications. To deeply explore the latest scientific progress of gas sensing technology and promote its widespread application in air quality monitoring, we have specifically planned this Special Issue. This Special Issue aims to gather top scholars in the field and share latest research findings, discuss scientific challenges, and envision future development paths for gas sensing technology in air quality monitoring.
In this context, this Special Issue of "Gas Sensing for Air Quality Monitoring" invites original research and comprehensive reviews including, but not limited to, the following topics:
1. Gas sensing mechanisms and materials: In-depth analyses of interaction mechanisms between gas molecules and sensing materials exploring the development and application of novel sensing materials, such as nanomaterials and polymer materials.
2. Sensor design and optimization: The design of high-performance gas sensors based on physical, chemical, and biological sensing principles, and discussions on scientific methods for structural optimization and performance enhancement.
3. Sensor signal processing and data analysis: Research on algorithms for processing gas sensing signals to improve data accuracy and reliability and on the utilization of big data and artificial intelligence technologies to realize intelligent analysis and early warning of air quality monitoring data.
4. Simultaneous monitoring of multiple gasses: Research on the scientific principles and methods for the simultaneous monitoring of multi-component gasses and the exploration of the design, optimization, and application of sensor arrays in complex environments.
5. Particulate matter and gas co-monitoring: Combining particulate matter monitoring and gas sensing technology to build a scientific framework for co-monitoring systems to achieve comprehensive, accurate, and real-time air quality monitoring.
6. Environmental adaptability research: Discussions on the adaptability of gas sensing systems in extreme environments with proposed scientific solutions.
Dr. Yinsheng Chen
Prof. Dr. Yunbo Shi
Dr. Wenjie Zhao
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning
- machine olfaction
- electronic nose
- gas detection
- concentration estimation
- deep learning
- signal processing
- gas sensitive material
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