Detection of CWA Simulants by Electronic Nose Based on Low-Powered MEMS Gas Sensor Array

作者：Mengxue Xu, Yihong Zhong, Xiaochun Hu, Tao Yi, Qingqing Shen, Shumin Zhang, Pingping Zhang, Hongpeng Zhang, Zhenxing Cheng, Xuhui Sun · 发表于：IEEE Sensors Journal · 年份：2025 · DOI：10.1109/jsen.2025.3587138 · 被引用次数：5 · 研究领域：Gas Sensing Nanomaterials and Sensors、Advanced Chemical Sensor Technologies、Analytical Chemistry and Sensors

Given the severe threats of chemical warfare agents (CWAs) to public safety, gas sensing technology development is vital. Metal oxide semiconductor (MOS) based gas sensors are popular for detection of CWA simulants, which have been widely used in the safe study of CWAs detection due to their similar structure and properties with actual CWAs. But the reported MOS sensors still suffer from high power consumption and poor selectivity of discriminating multiple simulants. In this work, an electronic nose (e-nose) driven by artificial intelligence (AI) algorithms is established to detect and identify five CWA simulants. The e-nose consists of 24 MOS based micro-electro-mechanical system (MEMS) gas sensors that own advantages of small size (0.9 mm×0.9 mm), low-power (99.0%) with BPN, respectively. These results suggest that the AI driven e-nose strategy has highly potential to be applied as a portable equipment for rapid, on-site detection and identification of CWA simulants and even actual CWAs.