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

This article 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 article, 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 are 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.