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Characteristics and oxidative potential of atmospheric PM2.5 in Beijing: Source apportionment and seasonal variation.
Sci Total Environ. 2019 Feb 10; 650(Pt 1):277-287.ST

Abstract

PM2.5 (particulate matter with the aerodynamic diameter Dp < 2.5 μm) was hypothesized to generate reactive oxygen species (ROS) and induce oxidative stress associated with inflammation and cardiovascular diseases. In the current study, PM2.5 concentrations, water-soluble ions and elements, carbonaceous components and ROS activity characterized by the dithiothreitol (DTT) assay were determined for the PM2.5 samples collected in Beijing, China, over a whole year. Source apportionments of PM2.5 and DTT activity were also performed. The mean ± standard deviation of PM2.5, DTTm (mass-normalized DTT activity) and DTTv (volume-normalized DTT activity) were 113.8 ± 62.7 μg·m-3, 0.13 ± 0.10 nmol·μg-1·min-1 and 12.26 ± 6.82 nmol·m-3·min-1, respectively. The seasonal averages of DTTm and DTTv exhibited peak values during the local summer. Organic carbon (OC), NO3-, SO42-, NH4+ and elemental carbon (EC) were the dominant components in the constituents tested. Higher concentrations of carbonaceous components occurred in autumn and winter compared with spring and summer. Based on the positive matrix factorization model (PMF), the simulation results of source apportionment for PM2.5 in Beijing, obtained using the annual data, identified the main categories as follows: dust, coal combustion, secondary sulfate and industrial emissions, vehicle emissions and secondary nitrates. Most detected constituents exhibited significantly positive correlations with DTTv (p < 0.01). The results corresponding to multiple linear regression (MLR) between DTTv activity and source contribution to PM2.5 manifested the sensitivity sequence of DTTv activity for the resolved sources as vehicle emissions > secondary sulfate and industrial emissions > coal combustion > dust.

CAPSULE

Based on a descending sequence of relative contribution, the diagnostic sources of DTTv activity in PM2.5 from Beijing included primarily vehicle emissions, secondary sulfates and industrial emissions, coal combustion, and dust.

Authors+Show Affiliations

Key Laboratory for Earth Surface and Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.Key Laboratory for Earth Surface and Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.Key Laboratory for Earth Surface and Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.Key Laboratory for Earth Surface and Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.Key Laboratory for Earth Surface and Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.Key Laboratory for Earth Surface and Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China. Electronic address: wxliu@urban.pku.edu.cn.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

30199673

Citation

Yu, ShuangYu, et al. "Characteristics and Oxidative Potential of Atmospheric PM2.5 in Beijing: Source Apportionment and Seasonal Variation." The Science of the Total Environment, vol. 650, no. Pt 1, 2019, pp. 277-287.
Yu S, Liu W, Xu Y, et al. Characteristics and oxidative potential of atmospheric PM2.5 in Beijing: Source apportionment and seasonal variation. Sci Total Environ. 2019;650(Pt 1):277-287.
Yu, S., Liu, W., Xu, Y., Yi, K., Zhou, M., Tao, S., & Liu, W. (2019). Characteristics and oxidative potential of atmospheric PM2.5 in Beijing: Source apportionment and seasonal variation. The Science of the Total Environment, 650(Pt 1), 277-287. https://doi.org/10.1016/j.scitotenv.2018.09.021
Yu S, et al. Characteristics and Oxidative Potential of Atmospheric PM2.5 in Beijing: Source Apportionment and Seasonal Variation. Sci Total Environ. 2019 Feb 10;650(Pt 1):277-287. PubMed PMID: 30199673.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Characteristics and oxidative potential of atmospheric PM2.5 in Beijing: Source apportionment and seasonal variation. AU - Yu,ShuangYu, AU - Liu,WeiJian, AU - Xu,YunSong, AU - Yi,Kan, AU - Zhou,Ming, AU - Tao,Shu, AU - Liu,WenXin, Y1 - 2018/09/03/ PY - 2018/07/08/received PY - 2018/08/31/revised PY - 2018/09/02/accepted PY - 2018/9/11/pubmed PY - 2018/9/11/medline PY - 2018/9/11/entrez KW - DTT activity KW - PM(2.5) KW - PMF KW - Source apportionment SP - 277 EP - 287 JF - The Science of the total environment JO - Sci. Total Environ. VL - 650 IS - Pt 1 N2 - : PM2.5 (particulate matter with the aerodynamic diameter Dp < 2.5 μm) was hypothesized to generate reactive oxygen species (ROS) and induce oxidative stress associated with inflammation and cardiovascular diseases. In the current study, PM2.5 concentrations, water-soluble ions and elements, carbonaceous components and ROS activity characterized by the dithiothreitol (DTT) assay were determined for the PM2.5 samples collected in Beijing, China, over a whole year. Source apportionments of PM2.5 and DTT activity were also performed. The mean ± standard deviation of PM2.5, DTTm (mass-normalized DTT activity) and DTTv (volume-normalized DTT activity) were 113.8 ± 62.7 μg·m-3, 0.13 ± 0.10 nmol·μg-1·min-1 and 12.26 ± 6.82 nmol·m-3·min-1, respectively. The seasonal averages of DTTm and DTTv exhibited peak values during the local summer. Organic carbon (OC), NO3-, SO42-, NH4+ and elemental carbon (EC) were the dominant components in the constituents tested. Higher concentrations of carbonaceous components occurred in autumn and winter compared with spring and summer. Based on the positive matrix factorization model (PMF), the simulation results of source apportionment for PM2.5 in Beijing, obtained using the annual data, identified the main categories as follows: dust, coal combustion, secondary sulfate and industrial emissions, vehicle emissions and secondary nitrates. Most detected constituents exhibited significantly positive correlations with DTTv (p < 0.01). The results corresponding to multiple linear regression (MLR) between DTTv activity and source contribution to PM2.5 manifested the sensitivity sequence of DTTv activity for the resolved sources as vehicle emissions > secondary sulfate and industrial emissions > coal combustion > dust. CAPSULE: Based on a descending sequence of relative contribution, the diagnostic sources of DTTv activity in PM2.5 from Beijing included primarily vehicle emissions, secondary sulfates and industrial emissions, coal combustion, and dust. SN - 1879-1026 UR - https://www.unboundmedicine.com/medline/citation/30199673/Characteristics_and_oxidative_potential_of_atmospheric_PM2_5_in_Beijing:_Source_apportionment_and_seasonal_variation_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0048-9697(18)33439-9 DB - PRIME DP - Unbound Medicine ER -
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