DOI: 10.1016/j.atmosenv.2017.03.052
Scopus记录号: 2-s2.0-85016962150
论文题名: Characterization of organic aerosol in Beijing by laser desorption ionization coupled with Fourier Transform Ion Cyclotron Resonance Mass spectrometry
作者: Xue J ; , Li Y ; , Xie X ; , Xiong C ; , Liu H ; , Chen S ; , Nie Z ; , Chen C ; , Zhao J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 159 起始页码: 55
结束页码: 65
语种: 英语
英文关键词: LDI-FT-ICR
; Mass spectrometry
; Organic aerosol
; Organoamines
; PAHs
Scopus关键词: Aerosols
; Aromatic hydrocarbons
; Atmospheric aerosols
; Atmospheric ionization
; Atmospheric thermodynamics
; Carbon
; Desorption
; Ionization
; Ions
; Mass spectrometry
; Negative ions
; Organic compounds
; Particles (particulate matter)
; Polycyclic aromatic hydrocarbons
; Positive ions
; Solvent extraction
; Spectrometry
; Accurate mass measurements
; Elemental compositions
; Fourier transform ion cyclotron resonance mass spectrometry
; Laser desorption ionization
; LDI-FT-ICR
; Organic aerosol
; Organoamines
; Polycyclic aromatic hydrocarbons (PAHS)
; Organic lasers
; aliphatic amine
; anion
; organic compound
; polycyclic aromatic hydrocarbon
; aerosol
; chemical composition
; chemical compound
; formation mechanism
; mass spectrometry
; PAH
; particle size
; particulate matter
; public health
; solvent
; volcanic cloud
; aerosol
; aluminum foil
; Article
; chemical composition
; China
; ion cyclotron resonance mass spectrometry
; matrix assisted laser desorption ionization time of flight mass spectrometry
; particulate matter
; priority journal
; solvent extraction
; winter
; Beijing [China]
; China
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: In order to resolve the organic compositions in the atmospheric aerosol which is significant for understanding the formation mechanism of particulate matter and their harm for human health, a direct laser desorption ionization (LDI) coupled with Fourier Transform Resonance Mass (FT-ICR MS) was utilized for characterizing the aerosol particles collected in Beijing during winter. A lot of organic compounds can be detected by direct laser desorption ionization of the aerosol particular with different size collected on aluminum foil without complicated sample pretreatment process. In addition, semi quantification of the organic compounds can be achieved with solvent extraction procedure. It was found that the ubiquitous polycyclic aromatic hydrocarbons (PAHs) contaminants in the aerosol could serve as matrix, which helps the detection of many kinds of compounds including highly saturated amphiphilic long alkyl chain compounds (carbon number>16), like aliphatic amines in positive ion mode and organosulfates in negative ion mode. Based on the accurate mass measurement results, elemental compositions of over 1500 peaks in the mass spectrum were derived, and we categorized them into five groups according to their elemental compositions in order to provide helpful information for tracing the pollution source. It is demonstrated that abundant information about the organic components in the atmospheric aerosol can be provided by direct LDI FT-ICR MS method, and these information will largely facilitate further studies on origin and formation process of the aerosol. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82798
Appears in Collections: 气候变化事实与影响
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作者单位: Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry, Chinese Academy of Sciences, Beijing, China; Beijing National Laboratory for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; National Center for Mass Spectrometry in Beijing, Beijing, China
Recommended Citation:
Xue J,, Li Y,, Xie X,et al. Characterization of organic aerosol in Beijing by laser desorption ionization coupled with Fourier Transform Ion Cyclotron Resonance Mass spectrometry[J]. Atmospheric Environment,2017-01-01,159