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用于时间序列研究的细颗粒物(PM2.5)表征:有机分子标志物形态分析方法及丹佛市每日测量观测结果

PM(2.5) Characterization for Time Series Studies: Organic Molecular Marker Speciation Methods and Observations from Daily Measurements in Denver.

作者信息

Dutton Steven J, Williams Daniel E, Garcia Jessica K, Vedal Sverre, Hannigan Michael P

机构信息

Department of Civil, Environmental and Architectural Engineering, College of Engineering and Applied Science, University of Colorado, Boulder, CO 80309, USA.

出版信息

Atmos Environ (1994). 2009 Apr;43(12):2018-2030. doi: 10.1016/j.atmosenv.2009.01.003.

DOI:10.1016/j.atmosenv.2009.01.003
PMID:20161318
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2678721/
Abstract

Particulate matter less than 2.5 microns in diameter (PM(2.5)) has been shown to have a wide range of adverse health effects and consequently is regulated in accordance with the US-EPA's National Ambient Air Quality Standards. PM(2.5) originates from multiple primary sources and is also formed through secondary processes in the atmosphere. It is plausible that some sources form PM(2.5) that is more toxic than PM(2.5) from other sources. Identifying the responsible sources could provide insight into the biological mechanisms causing the observed health effects and provide a more efficient approach to regulation. This is the goal of the Denver Aerosol Sources and Health (DASH) study, a multi-year PM(2.5) source apportionment and health study.The first step in apportioning the PM(2.5) to different sources is to determine the chemical make-up of the PM(2.5). This paper presents the methodology used during the DASH study for organic speciation of PM(2.5). Specifically, methods are covered for solvent extraction of non-polar and semi-polar organic molecular markers using gas chromatography-mass spectrometry (GC-MS). Vast reductions in detection limits were obtained through the use of a programmable temperature vaporization (PTV) inlet along with other method improvements. Results are presented for the first 1.5 years of the DASH study revealing seasonal and source-related patterns in the molecular markers and their long-term correlation structure. Preliminary analysis suggests that point sources are not a significant contributor to the organic molecular markers measured at our receptor site. Several motor vehicle emission markers help identify a gasoline/diesel split in the ambient data. Findings show both similarities and differences when compared with other cities where similar measurements and assessments have been made.

摘要

直径小于2.5微米的颗粒物(PM2.5)已被证明会对健康产生广泛的不利影响,因此按照美国环境保护局(US-EPA)的《国家环境空气质量标准》进行管控。PM2.5有多种主要来源,也通过大气中的二次过程形成。某些来源形成的PM2.5可能比其他来源的PM2.5毒性更强,这是合理的。确定责任来源有助于深入了解导致所观察到的健康影响的生物学机制,并提供更有效的监管方法。这就是丹佛气溶胶来源与健康(DASH)研究的目标,这是一项为期多年的PM2.5来源解析与健康研究。将PM2.5分配到不同来源的第一步是确定PM2.5的化学组成。本文介绍了DASH研究中用于PM2.5有机成分分析的方法。具体而言,涵盖了使用气相色谱-质谱联用仪(GC-MS)对非极性和半极性有机分子标志物进行溶剂萃取的方法。通过使用程序升温汽化(PTV)进样口以及其他方法改进,检测限大幅降低。文中给出了DASH研究前1.5年的结果,揭示了分子标志物的季节和来源相关模式及其长期相关结构。初步分析表明,点源对我们受体站点测量的有机分子标志物贡献不大。几种机动车排放标志物有助于识别环境数据中的汽油/柴油比例。与其他进行了类似测量和评估的城市相比,研究结果既有相似之处也有不同之处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/cd717816dfbc/nihms88679f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/7c613eba5248/nihms88679f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/9f0c5ce9aa41/nihms88679f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/3909c8c494ea/nihms88679f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/7833fa9e1158/nihms88679f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/d1704162a9a8/nihms88679f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/d05f539e8b1a/nihms88679f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/cd717816dfbc/nihms88679f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/7c613eba5248/nihms88679f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/9f0c5ce9aa41/nihms88679f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/3909c8c494ea/nihms88679f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/7833fa9e1158/nihms88679f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/d1704162a9a8/nihms88679f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/d05f539e8b1a/nihms88679f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/2678721/cd717816dfbc/nihms88679f7.jpg

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