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Frontiers of Optoelectronics

Front. Optoelectron.    2018, Vol. 11 Issue (3) : 256-260
Identifying PM2.5 samples collected in different environment by using terahertz time-domain spectroscopy
Chenghong WU, Xinyang MIAO, Kun ZHAO()
Beijing Key Laboratory of Optical Detection Technology for Oil and Gas, China University of Petroleum, Beijing 102249, China
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Particulate matter with the diameter of less than 2.5 mm (PM2.5) is the most important causation of air pollution. In this study, PM2.5 samples were collected in three different environment including ordinary atmospheric environment, lampblack environment and the environment with an air conditioning exhaust fan, and analyzed by using terahertz time-domain spectroscopy (THz-TDS). The linear regression analysis and the principal component analysis (PCA) are used to identify PM2.5 samples collected in different environment. The results indicate that combining THz-TDS with statistical methods can serve as a contactless and efficient approach to identify air pollutants in different environment.

Keywords PM2.5      terahertz time-domain spectroscopy (THz-TDS)      statistical methods     
Corresponding Authors: Kun ZHAO   
Just Accepted Date: 18 May 2018   Online First Date: 21 June 2018    Issue Date: 31 August 2018
 Cite this article:   
Chenghong WU,Xinyang MIAO,Kun ZHAO. Identifying PM2.5 samples collected in different environment by using terahertz time-domain spectroscopy[J]. Front. Optoelectron., 2018, 11(3): 256-260.
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Chenghong WU
Xinyang MIAO
Fig.1  PM2.5 samples collected in different environment. (a) Ordinary atmospheric environment; (b) lampblack environment; (c) environment with an air conditioning exhaust fan; (d) blank filter
Fig.2  THz-TDS of samples and air
Fig.3  PM2.5 mass dependent the degree of attenuation
Fig.4  Frequency dependence of the absorbance spectra for PM2.5 samples collected in three different environment
Fig.5  Two-dimensional system of PC1 versus PC2 plot calculated by PC
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