Paper
18 March 2024 Dichloromethane detection based on near-infrared absorptive sensing
Zhixiong Yang, Lingling Pang, Shuai Wang, Chunchao Yu, Boyang Wang, Kun Li
Author Affiliations +
Proceedings Volume 13104, Advanced Fiber Laser Conference (AFL2023); 131043I (2024) https://doi.org/10.1117/12.3023483
Event: Advanced Fiber Laser Conference (AFL2023), 2023, Shenzhen, China
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 non-imaging 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.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhixiong Yang, Lingling Pang, Shuai Wang, Chunchao Yu, Boyang Wang, and Kun Li "Dichloromethane detection based on near-infrared absorptive sensing", Proc. SPIE 13104, Advanced Fiber Laser Conference (AFL2023), 131043I (18 March 2024); https://doi.org/10.1117/12.3023483
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KEYWORDS
Contamination

Imaging systems

Liquids

CCD cameras

Infrared radiation

Hyperspectral imaging

Spectroscopy

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