Detection of Drug-Producing Chemicals Based on Gas Sensor Array with Dynamic Temperature Modulation

• Published in: IEEE sensors journal Vol. 23; no. 8; p. 1
• Main Authors: Meng, Fanli, Mi, Chunjin, Luan, Xi, Ji, Hanyang, Zhu, Hongmin, Yuan, Zhenyu
• Format: Journal Article
• Language: English
• Published: New York IEEE 15.04.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Chemical sensors; Chemicals; Data acquisition; Decision analysis; Decision tree; Decision trees; Drug-producing chemicals; Dynamic temperature modulation; Gas detectors; Gas sensor array; Gas sensors; Heating; Modulation; Principal components analysis; Qualitative analysis; Remote sensors; Sensor arrays; Sensors; Temperature sensors; Toluene
• ISSN: 1530-437X; 1558-1748
• DOI: 10.1109/JSEN.2023.3252726

This paper aims to study how to use gas sensor array detection system to realize the remote contactless identification of drug-producing chemicals in the external environment. The dynamic temperature modulation method of semiconductor sensor array is used to prove the feasibility and practicality of the method. In this paper, the influence of heating period on sensor stability under rectangular wave heating condition is studied. The hardware system of gas sensor array is established, and the data is collected by the data acquisition system. In the simulated external environment, acetone, toluene, ether and 2-butanone are qualitative analysis and identification. The data are dimensionally reduced by principal component analysis (PCA) algorithm and combined with decision tree algorithm to identify the data dynamic temperature modulation and array, which provides a research direction for more accurate qualitative identification and quantitative analysis of drug-producing chemicals.