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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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Abstract 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.
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Keywords
PM2.5
terahertz time-domain spectroscopy (THz-TDS)
statistical methods
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Corresponding Author(s):
Kun ZHAO
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Just Accepted Date: 18 May 2018
Online First Date: 21 June 2018
Issue Date: 31 August 2018
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