DOI: 10.1016/j.atmosenv.2017.10.053
Scopus记录号: 2-s2.0-85032668762
论文题名: Quantification of amine functional groups and their influence on OM/OC in the IMPROVE network
作者: Kamruzzaman M ; , Takahama S ; , Dillner A ; M
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 172 起始页码: 124
结束页码: 132
语种: 英语
英文关键词: Fourier transform-infrared spectroscopy
; FTIR
; Organic carbon
; Organic matter
; Partial least squares regression
; Particulate matter
Scopus关键词: Amines
; Biogeochemistry
; Biological materials
; Fourier transform infrared spectroscopy
; Least squares approximations
; Organic carbon
; Organic compounds
; Standards
; Amine functional groups
; Atmospheric particulate matter
; Calibration standard
; Collection geometry
; FTIR
; Organic functional groups
; Partial least squares regression
; Particulate Matter
; Urban growth
; alcohol
; amine
; carbonyl derivative
; carboxylic acid
; organic carbon
; organic matter
; atmospheric chemistry
; concentration (composition)
; FTIR spectroscopy
; network analysis
; organic carbon
; organic compound
; organic matter
; particulate matter
; regression analysis
; rural area
; seasonality
; Article
; boundary layer
; covalent bond
; infrared spectroscopy
; nonhuman
; partial least squares regression
; prediction
; priority journal
; secondary organic aerosol
; vegetation
; United States
; Animalia
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: Recently, we developed a method using FT-IR spectroscopy coupled with partial least squares (PLS) regression to measure the four most abundant organic functional groups, aliphatic C-H, alcohol OH, carboxylic acid OH and carbonyl C=O, in atmospheric particulate matter. These functional groups are summed to estimate organic matter (OM) while the carbon from the functional groups is summed to estimate organic carbon (OC). With this method, OM and OM/OC can be estimated for each sample rather than relying on one assumed value to convert OC measurements to OM. This study continues the development of the FT-IR and PLS method for estimating OM and OM/OC by including the amine functional group. Amines are ubiquitous in the atmosphere and come from motor vehicle exhaust, animal husbandry, biomass burning, and vegetation among other sources. In this study, calibration standards for amines are produced by aerosolizing individual amine compounds and collecting them on PTFE filters using an IMPROVE sampler, thereby mimicking the filter media and collection geometry of ambient standards. The moles of amine functional group on each standard and a narrow range of amine-specific wavenumbers in the FT-IR spectra (wavenumber range 1 550–1 500 cm−1) are used to develop a PLS calibration model. The PLS model is validated using three methods: prediction of a set of laboratory standards not included in the model, a peak height analysis and a PLS model with a broader wavenumber range. The model is then applied to the ambient samples collected throughout 2013 from 16 IMPROVE sites in the USA. Urban sites have higher amine concentrations than most rural sites, but amine functional groups account for a lower fraction of OM at urban sites. Amine concentrations, contributions to OM and seasonality vary by site and sample. Amine has a small impact on the annual average OM/OC for urban sites, but for some rural sites including amine in the OM/OC calculations increased OM/OC by 0.1 or more. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/83153
Appears in Collections: 气候变化事实与影响
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作者单位: Air Quality Research Center, University of California, Davis, CA, United States; Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
Recommended Citation:
Kamruzzaman M,, Takahama S,, Dillner A,et al. Quantification of amine functional groups and their influence on OM/OC in the IMPROVE network[J]. Atmospheric Environment,2018-01-01,172