Dichloromethane detection based on near-infrared absorptive sensing

Abstract

High-risk liquid chemicals inadvertently enter the surrounding environment during production, storage, transportation, and use, posing a serious threat to ecosystems and human health. How to quickly detect chemical contaminants has become an urgent problem to be solved. In this paper, a new method of short-wave infrared 0. 9-1. 7 μm hyperspectral imaging telemetry based on liquid crystal tunable filter (LCTF) is proposed to replace the traditional contact nonimaging sampling analysis method. The dichloromethane liquid is characterized and combined with the envelope method and correlation coefficient algorithm for identification imaging. It can achieve remote sensing identification and distribution of four toxic liquids within a short distance of 0. 5-1. 5 meters, with a spectral resolution of up to 30 nm and a recognition accuracy of 99 %. It is a fast and accurate method for detecting surface chemical agents and toxic and hazardous substances on contaminated surfaces. Shorten the time of chemical reconnaissance and improve the efficiency of environmental perception.