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Particle and Aerosol Research
Vol. 14, No. 4, December 2018, Pages 153-169
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ISSN : 1738-8716 (Print)
ISSN : 2287-8130 (Online)
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Classification and identification of organic aerosols in the atmosphere over Seoul using two dimensional gas chromatography-time of flight mass spectrometry (GC¡¿GC/TOF-MS) data
So Hyeon Jeon1),2), Hyung Bae Lim3), Na Rae Choi2), Ji Yi Lee3), Yun Kyong Ahn1), Yong Pyo Kim1) *,
1)Western Seoul Center, Korea Basic Science Institute, Seoul, Korea
2)Department of Environmental Science and Engineering, Ewha Womans University, Seoul, Korea
3)National Institute of Environmental Research, Air Quality Research Division, Seoul, Korea
4)Department of Chemical Engineering & Materials Science, Ewha Womans University, Seoul, Korea
*Corresponding author.
Tel.: +81-2-3277-2832, E-mail: yong@ewha.ac.kr
Received 14 November 2018, Revised 20 December 2018, Accepted 24 December 2018, Available online 31 December 2018
http://dx.doi.org/10.11629/jpaar.2018.14.4.153
Abstracts
To identify a variety of organic compounds in the ambient aerosols, the two-dimensional gas chromatography-time of flight mass spectrometry (GCxGC) system (2DGC) has been applied. While 2DGC provides more peaks, the amount of the generated data becomes huge. A two-step approach has been proposed to efficiently interpret the organic aerosol analysis data. The two-dimensional 2DGC data were divided into 6 chemical groups depending on their volatility and polarity. Using these classification standards, all the peaks were subject to both qualitative and quantitative analyses and then classified into 8 classes. The aerosol samples collected in Seoul in summer 2013 and winter 2014 were used as the test case. It was found that some chemical classes such as furanone showed seasonal variation in the high polarity-volatile organic compounds (HP-VOC) group. Also, for some chemical classes, qualitative and quantitative analyses showed different trends. Limitations of the proposed method are discussed.
Keywords
GC¡¿GC/TOF-MS, qualitative analysis, quantitative analysis, chemical categorization, organic aerosols.
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