Rapid identification of volatile organic compounds and their isomers in the atmosphere

被引:0
|
作者
张兴龙 [1 ,2 ]
葛一凡 [1 ,2 ]
万恩来 [1 ,2 ]
刘玉柱 [1 ,2 ]
姚金平 [3 ]
机构
[1] Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean, Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology
[2] Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection,Nanjing University of Information Science & Technology
[3] State Key Laboratory of High Field Laser Physics, Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of
关键词
D O I
暂无
中图分类号
X831 [大气监测]; O657.38 [激光光谱分析法];
学科分类号
0706 ; 070602 ;
摘要
Isomers are widely present in volatile organic compounds(VOCs), and it is a tremendous challenge to rapidly distinguish the isomers of VOCs in the atmosphere. In this work, laserinduced breakdown spectroscopy(LIBS) technology was developed to online distinguish VOCs and their isomers in the air. First, LIBS was used to directly detect halogenated hydrocarbons(a typical class of VOCs) and the characteristic peaks of the related halogens were observed in the LIBS spectra. Then, comparing the LIBS spectra of various samples, it was found that for VOCs with different molecular formulas, although the spectra are completely the same in elemental composition, there are still significant differences in the relative intensity of the spectral lines and other information. Finally, in light of the shortcomings of traditional LIBS technology in identifying isomers, machine learning algorithms were introduced to develop the LIBS technique to identify the isomers of atmospheric VOCs, and the recognition results were very good. It is proved that LIBS combined with machine learning algorithms is promising for online traceability of VOCs in the atmospheric environment.
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页码:22 / 29
页数:8
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