Comparative analysis of organic chemical compositions in airborne particulate matter from Ulaanbaatar, Beijing, and Seoul using UPLC-FT-ICR-MS and artificial neural network

This paper presents comparative study on the composition and sources of PM2.5 in Ulaanbaatar, Beijing, and Seoul. Ultrahigh performance liquid chromatography (UPLC) combined with ultrahigh resolution mass spectrometry (UHR-MS) were employed to analyze 85 samples collected in winter. The obtained 340...

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Veröffentlicht in:	The Science of the total environment 2023-11, Vol.901, p.165917-165917, Article 165917
Hauptverfasser:	Son, Seungwoo, Park, Moonhee, Jang, Kyoung-Soon, Lee, Ji Yi, Wu, Zhijun, Natsagdorj, Amgalan, Kim, Young Hwan, Kim, Sunghwan
Format:	Artikel
Sprache:	eng
Schlagworte:	air pollution Airborne particulate matter Artificial neural network biomass China coal combustion comparative study comprehensive two-dimensional gas chromatography environment FT-ICR MS GCxGC/HRMS lipids mass spectrometry neural networks Organo‑nitrogen Organo‑sulfur particulates petroleum polycyclic aromatic hydrocarbons public health sulfur ultra-performance liquid chromatography winter
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