气候变化领域集成服务门户(CCPortal): Atmospheric conditions and composition that influence PM2.5 oxidative potential in Beijing, China

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DOI	10.5194/acp-21-5549-2021
	Atmospheric conditions and composition that influence PM2.5 oxidative potential in Beijing, China
	Campbell S.J.; Wolfer K.; Utinger B.; Westwood J.; Zhang Z.-H.; Bukowiecki N.; Steimer S.S.; Vu T.V.; Xu J.; Straw N.; Thomson S.; Elzein A.; Sun Y.; Liu D.; Li L.; Fu P.; Lewis A.C.; Harrison R.M.; Bloss W.J.; Loh M.; Miller M.R.; Shi Z.; Kalberer M.
发表日期	2021
ISSN	1680-7316
起始页码	5549
结束页码	5573
卷号	21 期号:7
英文摘要	Epidemiological studies have consistently linked exposure to PM2.5 with adverse health effects. The oxidative potential (OP) of aerosol particles has been widely suggested as a measure of their potential toxicity. Several acellular chemical assays are now readily employed to measure OP; however, uncertainty remains regarding the atmospheric conditions and specific chemical components of PM2.5 that drive OP. A limited number of studies have simultaneously utilised multiple OP assays with a wide range of concurrent measurements and investigated the seasonality of PM2.5 OP. In this work, filter samples were collected in winter 2016 and summer 2017 during the atmospheric pollution and human health in a Chinese megacity campaign (APHH-Beijing), and PM2.5 OP was analysed using four acellular methods: ascorbic acid (AA), dithiothreitol (DTT), 2,7-dichlorofluorescin/hydrogen peroxidase (DCFH) and electron paramagnetic resonance spectroscopy (EPR). Each assay reflects different oxidising properties of PM2.5, including particle-bound reactive oxygen species (DCFH), superoxide radical production (EPR) and catalytic redox chemistry (DTT/AA), and a combination of these four assays provided a detailed overall picture of the oxidising properties of PM2.5 at a central site in Beijing. Positive correlations of OP (normalised per volume of air) of all four assays with overall PM2.5 mass were observed, with stronger correlations in winter compared to summer. In contrast, when OP assay values were normalised for particle mass, days with higher PM2.5 mass concentrations (µgm−3) were found to have lower mass-normalised OP values as measured by AA and DTT. This finding supports that total PM2.5 mass concentrations alone may not always be the best indicator for particle toxicity. Univariate analysis of OP values and an extensive range of additional measurements, 107 in total, including PM2.5 composition, gas-phase composition and meteorological data, provided detailed insight into the chemical components and atmospheric processes that determine PM2.5 OP variability. Multivariate statistical analyses highlighted associations of OP assay responses with varying chemical components in PM2.5 for both mass- and volume-normalised data. AA and DTT assays were well predicted by a small set of measurements in multiple linear regression (MLR) models and indicated fossil fuel combustion, vehicle emissions and biogenic secondary organic aerosol (SOA) as influential particle sources in the assay response. Mass MLR models of OP associated with compositional source profiles predicted OP almost as well as volume MLR models, illustrating the influence of mass composition on both particle-level OP and total volume OP. Univariate and multivariate analysis showed that different assays cover different chemical spaces, and through comparison of mass- and volume-normalised data we demonstrate that mass-normalised OP provides a more nuanced picture of compositional drivers and sources of OP compared to volume-normalised analysis. This study constitutes one of the most extensive and comprehensive composition datasets currently available and provides a unique opportunity to explore chemical variations in PM2.5 and how they affect both PM2.5 OP and the concentrations of particle-bound reactive oxygen species. © Author(s) 2021. This work is distributed under
语种	英语
scopus关键词	aerosol composition; assay; atmospheric chemistry; atmospheric modeling; correlation; multiple regression; multivariate analysis; oxidation; particulate matter; reactive oxygen species; toxicity; Beijing [China]; China; Indicator indicator
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246983
作者单位	Department of Environmental Sciences, University of Basel, Basel, Switzerland; Department of Chemistry, University of Cambridge, Cambridge, United Kingdom; School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, United Kingdom; Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom; Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York, United Kingdom; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; National Centre for Atmospheric Science, University of York, York, United Kingdom; Institute of Surface Earth System Science, Tianjin University, Tianjin, China; Institute of Occupational Medicine, Edinburgh, United Kingdom; Department of Environmental Science, Stockholm University, Stockholm, Sweden; Department of Environmental Sciences, Center of Excel...
推荐引用方式 GB/T 7714	Campbell S.J.,Wolfer K.,Utinger B.,et al. Atmospheric conditions and composition that influence PM2.5 oxidative potential in Beijing, China[J],2021,21(7).
APA	Campbell S.J..,Wolfer K..,Utinger B..,Westwood J..,Zhang Z.-H..,...&Kalberer M..(2021).Atmospheric conditions and composition that influence PM2.5 oxidative potential in Beijing, China.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(7).
MLA	Campbell S.J.,et al."Atmospheric conditions and composition that influence PM2.5 oxidative potential in Beijing, China".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.7(2021).