Molecular characterization of dissolved organic matters in winter atmospheric fine particulate matters (PM2.5) from a coastal city of northeast China
文献类型:期刊论文
作者 | Ning, Cuiping1,2; Gao, Yuan1; Zhang, Haijun1; Yu, Haoran1,2; Wang, Lei3; Geng, Ningbo1; Cao, Rong1; Chen, Jiping1 |
刊名 | SCIENCE OF THE TOTAL ENVIRONMENT |
出版日期 | 2019-11-01 |
卷号 | 689页码:312-321 |
ISSN号 | 0048-9697 |
关键词 | PM2.5 DOMs FT-ICR MS Molecular characteristic |
DOI | 10.1016/j.scitotenv.2019.06.418 |
通讯作者 | Gao, Yuan(acyoyo@dicp.ac.cn) |
英文摘要 | Dissolved organic matters (DOM5) in fine particulate matters (PM2.5) play a crucial role in global climate change and carbon cycle. However, the chemical components of DOMs are poorly understood due to its ultra-complexity. In this study, DOM5 in atmospheric PM2.5 collected during the heating period in coastal city Dalian were analyzed with ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometer, and the molecular composition was characterized. A large number of monoisotopic molecular formulas were assigned to DOM5, which could be classified into CHO, CHNO, CHOS, and CHNOS subgroups. A total 014228 molecular formulas were identified in DOM5 collected in hazy days, while only 2313 components were found in DOM5 collected in normal days. CHO group was the dominated components in normal days, whereas CHNO group gave significantly higher contributions in hazy days. The S-containing (CHOS and CHNOS) groups posed the highest relative percentages in both normal and hazy days. In addition, potential emission sources were discussed according to the chemical component analysis. The van Kreve lent diagram illustrated that lignin-like and protein amino sugar family species were the most abundant subclasses in DOMs; and 78% and 94% of DOMs in atmospheric PM2.5 collected from Dalian could come from biogenic origins in hazy and normal days, respectively. More compounds in hazy days were derived from anthropogenic emissions. (C) 2019 Elsevier B.V. All rights reserved. |
WOS关键词 | RESONANCE MASS-SPECTROMETRY ; HUMIC-LIKE SUBSTANCES ; FT-ICR-MS ; COMPREHENSIVE CHARACTERIZATION ; PINENE OZONOLYSIS ; AEROSOL ; WATER ; ORGANOSULFATES ; ELECTROSPRAY ; CARBON |
资助项目 | National Natural Science Foundation of China[91643104] ; National Natural Science Foundation of China[21607152] ; National Natural Science Foundation of China[91543201] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | ELSEVIER |
WOS记录号 | WOS:000482379400030 |
资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China |
源URL | [http://cas-ir.dicp.ac.cn/handle/321008/173107] |
专题 | 大连化学物理研究所_中国科学院大连化学物理研究所 |
通讯作者 | Gao, Yuan |
作者单位 | 1.Chinese Acad Sci, Dalian Inst Chem Phys, CAS Key Lab Separat Sci Analyt Chem, Dalian 116023, Liaoning, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Nankai Univ, Minist Educ, Key Lab Pollut Proc & Environm Criteria, Tianjin Key Lab Environm Remediat & Pollut Contro, Tianjin 300071, Peoples R China |
推荐引用方式 GB/T 7714 | Ning, Cuiping,Gao, Yuan,Zhang, Haijun,et al. Molecular characterization of dissolved organic matters in winter atmospheric fine particulate matters (PM2.5) from a coastal city of northeast China[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,689:312-321. |
APA | Ning, Cuiping.,Gao, Yuan.,Zhang, Haijun.,Yu, Haoran.,Wang, Lei.,...&Chen, Jiping.(2019).Molecular characterization of dissolved organic matters in winter atmospheric fine particulate matters (PM2.5) from a coastal city of northeast China.SCIENCE OF THE TOTAL ENVIRONMENT,689,312-321. |
MLA | Ning, Cuiping,et al."Molecular characterization of dissolved organic matters in winter atmospheric fine particulate matters (PM2.5) from a coastal city of northeast China".SCIENCE OF THE TOTAL ENVIRONMENT 689(2019):312-321. |
入库方式: OAI收割
来源:大连化学物理研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。