气候变化领域集成服务门户(CCPortal): Optimization of a thermal desorption-gas chromatography/mass spectrometry method for characterization of semi-volatile organic compounds in high time resolved PM2.5

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DOI	10.1016/j.apr.2019.12.016
	Optimization of a thermal desorption-gas chromatography/mass spectrometry method for characterization of semi-volatile organic compounds in high time resolved PM2.5
	Flores R.M.; Mertoglu E.
发表日期	2020
ISSN	13091042
卷号	11 期号:3
英文摘要	Organic aerosol (OA) is an important fraction of fine particulate matter. Most primary OA emissions comprise semivolatile organic compounds (SVOCs) that are reactive and may partition into particle and vapor phases. Collection of SVOCs in the particle phase at high time resolution reduces positive and negative artifacts, but requires sensitive analytical techniques for chemical characterization. In this work, we investigated the effect of thermal desorption-gas chromatography/mass spectrometry (TD-GC-MS) analytical variables on 16 polycyclic aromatic hydrocarbons (PAHs) and 29 n-alkanes. Analytical responses of target compounds were mostly influenced by trap desorption time and GC column pressure. The optimal TD-GC-MS trap desorption conditions were 350 °C for 10 min at GC constant pressure mode of 17 psi. Good linearity (R2 > 0.99) was observed for all target analytes (with the exception of 6 ring PAHs and C35–C39 n-alkanes). Method detection limits were 0.038–0.157 ng m−3 and 0.028–0.355 ng m−3 for PAHs and n-alkanes, respectively. The optimized method was tested on PM2.5 samples collected with the high-volume sampling technique at high temporal resolution of 2 h. Analysis of a sample, followed by analysis of a blank, did not show carryover. The optimized TD-GC-MS method showed the capability to resolve diurnal variations of target analytes in high time resolved PM2.5. Using TD-GC-MS for analysis of high time resolved PM2.5 will contribute to the improvement of source apportionment, emission inventories, and global chemistry-climate models. © 2020 Turkish National Committee for Air Pollution Research and Control
英文关键词	Diurnal variation; Istanbul megacity; PM2.5; SVOCs; Thermal desorption
语种	英语
来源期刊	Atmospheric Pollution Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120568
作者单位	Environmental Engineering Department, Marmara University Göztepe Campus, Istanbul, 34722, Turkey
推荐引用方式 GB/T 7714	Flores R.M.,Mertoglu E.. Optimization of a thermal desorption-gas chromatography/mass spectrometry method for characterization of semi-volatile organic compounds in high time resolved PM2.5[J],2020,11(3).
APA	Flores R.M.,&Mertoglu E..(2020).Optimization of a thermal desorption-gas chromatography/mass spectrometry method for characterization of semi-volatile organic compounds in high time resolved PM2.5.Atmospheric Pollution Research,11(3).
MLA	Flores R.M.,et al."Optimization of a thermal desorption-gas chromatography/mass spectrometry method for characterization of semi-volatile organic compounds in high time resolved PM2.5".Atmospheric Pollution Research 11.3(2020).