安全、健康和环境2025，Vol.25Issue(1)：1-10,10.DOI:10.3969/j.issn.1672-7932.2025.01.001
危险化学品快速检测技术前沿与展望
Frontiers and Prospects of Rapid Detection Technology for Hazardous Chemicals
摘要
Abstract
With the rapid development of the national economy,the demand for chemicals is continuously increasing in various industries.Chemicals,especially hazardous chemicals,pose serious risks to human surviv-al and development due to their inherent harmful characteristics.The basis of chemical hazard identification is the rapid detection of the chemical itself.In order to fully understand the information of chemical hazards and ensure the safety of industrial production,the analytical chemical technologies applicable to the rapid detection of hazardous chemicals were summarized from the objective needs of rapid detection of hazardous chemicals,such as fast test speed,high sensitivity and strong universality,including gas chromatography,infrared spec-troscopy,Raman spectroscopy,mass spectrometry and gas chemical sensing,etc.The principle of each tech-nique was introduced in detail,and the advantages and disadvantages of the different methods were analyzed.Conventional gas chromatography,mass spectrometry and infrared spectroscopy have high sensitivity,but large volume and high energy consumption.Raman spectroscopy has been miniaturized,and electronic nose technolo-gy has good universality,but infrared spectroscopy,Raman spectroscopy and electronic nose all have high re-quirements for spectral analysis.The future development direction of rapid detection technology of hazardous chemicals will focus on the problems that need to be solved,such as the miniaturization design of instruments,the development of new spectral recognition algorithms,and the combination technology matching.关键词
危险化学品/危害识别/快速检测/光谱/色谱/质谱/传感Key words
hazardous chemicals/hazard identification/rapid detection/spectrum/chromatography/mass spectrometry/sensing分类
化学工程引用本文复制引用
宋项宁,纪国峰,厉鹏,万可风,马倩,张宏哲..危险化学品快速检测技术前沿与展望[J].安全、健康和环境,2025,25(1):1-10,10.基金项目
中石化科技部课题(H24009),典型油田助剂物理危险性智能表征与分类技术研究. （H24009）
