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DOI10.5194/acp-19-13945-2019
Molecular characterization of polar organic aerosol constituents in off-road engine emissions using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS): implications for source apportionment
Cui M.; Li C.; Chen Y.; Zhang F.; Li J.; Jiang B.; Mo Y.; Li J.; Yan C.; Zheng M.; Xie Z.; Zhang G.; Zheng J.
发表日期2019
ISSN16807316
起始页码13945
结束页码13956
卷号19期号:22
英文摘要The molecular compositions of polar organic compounds (POCs) in particles emitted from various vessels and excavators were characterized using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS), and possible molecular structures of POCs were proposed. POCs were extracted with purified water and sorted by elemental composition into three groups: CHO, CHON, and S-containing compounds (CHONS and CHOS). The results show the following. (i) CHO (accounting for 49% of total POCs in terms of peak response) was the most abundant group for all tested off-road engines, followed by CHON (33 %) and CHOS (35 %) for diesel and HFO (heavy-fueloil)- fueled off-road engines. (ii) The abundance and structure of the CHON group in water extracts were different in terms of engine type and load. The relative peak response of CHON was the highest for excavator emissions in working mode, compared to the idling and moving modes. Furthermore, dinitrophenol and methyl dinitrophenol were potentially the most abundant emission species for high-rated speed excavators, while nitronaphthol and methyl nitronaphthol were more important for low-rated speed vessels. (iii) The composition and structure of the S-containing compounds were directly influenced by fuel oil characteristics (sulfur content and aromatic ring), with more condensed aromatic rings in the S-containing compounds proposed in HFO-fueled vessel emissions. More abundant aliphatic chains were inferred in diesel equipment emissions. Overall, higher fractions of condensed hydrocarbons and aromatic rings in POCs emitted from vessels using HFO cause strong optical absorption capacity. Different structures in POCs could provide a direction for qualitative and quantitative analysis of organic compounds as tracers to distinguish these emissions from diesel or HFO-fueled off-road engines. © Author(s) 2019.
语种英语
scopus关键词aerosol; FTIR spectroscopy; molecular analysis; organic compound; polar meteorology; source apportionment; tracer; traffic emission
来源期刊Atmospheric Chemistry and Physics
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/144034
作者单位College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China; State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China; Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China; School of Environmental Science and Engineering, Yangzhou University, Yangzhou, 225127, China; SKL-ESPC and BIC-EAST, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China; Centre for Materials and Coastal Research, Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, 21502, Germany
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Cui M.,Li C.,Chen Y.,et al. Molecular characterization of polar organic aerosol constituents in off-road engine emissions using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS): implications for source apportionment[J],2019,19(22).
APA Cui M..,Li C..,Chen Y..,Zhang F..,Li J..,...&Zheng J..(2019).Molecular characterization of polar organic aerosol constituents in off-road engine emissions using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS): implications for source apportionment.Atmospheric Chemistry and Physics,19(22).
MLA Cui M.,et al."Molecular characterization of polar organic aerosol constituents in off-road engine emissions using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS): implications for source apportionment".Atmospheric Chemistry and Physics 19.22(2019).
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