Composition and Sources of Organic Aerosol in Two Megacities in Western China Using Complementary Mass Spectrometric and Statistical Techniques

Tianqu Cui*, Manousos I. Manousakas, Qiyuan Wang, Gaëlle Uzu, Yufang Hao, Peeyush Khare, Lu Qi, Yang Chen, Yuemei Han, Jay G. Slowik, Jean-Luc Jaffrezo, Junji Cao, André S. H. Prévôt* and Kaspar R. Daellenbach*, 
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Abstract

Over 300 daily PM2.5 filter samples were collected in two western Chinese megacities, Xi’an and Chongqing, from October 2019 to May 2020. Their aqueous extracts were nebulized simultaneously to an aerosol mass spectrometer (AMS) and a recently developed extractive electrospray ionization (EESI) mass spectrometer, for bulk and near-molecular organic aerosol (OA) composition, respectively. Carbonate was quantified using EESI and a total organic carbon analyzer to separate inorganic carbon from dust. Via isotopically-labelled internal standards and positive matrix factorization, seven water-soluble sources were quantified separately using the AMS- and EESI-based analyses, with consistent types, concentrations, and correlations. These include dust, solid fuel combustion (SFC)-related, nitrogen- (and sulfur-) containing, summer/winter oxygenated OAs, and a cigarette-related OA only in EESI. When accounting for water-solubility, SFC-related OAs were the largest (53%) sources in Chongqing, while dust (consisting of 77% OA and 23% carbonates) was the largest (30%) source in Xi’an. Overall, this study presents one of the first times that complementary mass spectrometric techniques independently resolved consistent OA sources─with added chemical information─over multiple seasons and locations of complex pollution. The methods and quantified sources are essential for subsequent chemical, modelling, and health studies, and policy making for air pollution mitigation.

This study used complementary state-of-the-art mass spectrometric and statistical techniques to characterize bulk and near-molecular organic aerosol composition in two western Chinese megacities, resolving consistent source types and concentrations.

Abstract Image

利用质谱和统计互补技术研究中国西部两个特大城市有机气溶胶的组成和来源
从2019年10月至2020年5月,在中国西部的两个特大城市--西安和重庆,每天采集300多个PM2.5过滤样品。它们的水提取物被同时雾化到气溶胶质谱仪(AMS)和最近开发的萃取电喷雾离子化质谱仪(EESI)上,分别检测块状和近分子有机气溶胶(OA)成分。使用萃取电喷雾离子化质谱仪和总有机碳分析仪对碳酸盐进行定量,以从尘埃中分离出无机碳。通过同位素标记的内部标准和正矩阵因式分解,利用基于 AMS 和 EESI 的分析分别量化了七种水溶源,其类型、浓度和相关性都是一致的。这些来源包括灰尘、与固体燃料燃烧 (SFC) 有关的、含氮(和硫)的、夏季/冬季含氧 OA,以及仅在 EESI 中与香烟有关的 OA。考虑到水溶性,与 SFC 相关的 OA 是重庆最大的来源(53%),而粉尘(由 77% 的 OA 和 23% 的碳酸盐组成)则是西安最大的来源(30%)。总之,这项研究首次展示了互补质谱技术在多季节、多地点的复杂污染中独立解析出一致的 OA 来源,并提供了更多的化学信息。这些方法和量化的来源对于后续的化学、建模和健康研究以及缓解空气污染的政策制定至关重要。这项研究使用了互补的先进质谱和统计技术来表征中国西部两个特大城市的大量和近分子有机气溶胶成分,解析了一致的来源类型和浓度。
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