Articles | Volume 21, issue 7
https://doi.org/10.5194/acp-21-5549-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-5549-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Atmospheric conditions and composition that influence PM2.5 oxidative potential in Beijing, China
Steven J. Campbell
CORRESPONDING AUTHOR
Department of Environmental Sciences, University of Basel, Basel,
Switzerland
Department of Chemistry, University of Cambridge, Cambridge, UK
Kate Wolfer
Department of Environmental Sciences, University of Basel, Basel,
Switzerland
Battist Utinger
Department of Environmental Sciences, University of Basel, Basel,
Switzerland
Joe Westwood
Department of Chemistry, University of Cambridge, Cambridge, UK
Zhi-Hui Zhang
Department of Environmental Sciences, University of Basel, Basel,
Switzerland
Department of Chemistry, University of Cambridge, Cambridge, UK
Nicolas Bukowiecki
Department of Environmental Sciences, University of Basel, Basel,
Switzerland
Sarah S. Steimer
Department of Chemistry, University of Cambridge, Cambridge, UK
now at: Department of Environmental Science, Stockholm
University, Stockholm, Sweden
Tuan V. Vu
School of Geography, Earth and Environmental Sciences, University of
Birmingham, Birmingham, UK
also at: Department of Environmental Sciences/Center of
Excellence in Environmental Studies, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia
Jingsha Xu
School of Geography, Earth and Environmental Sciences, University of
Birmingham, Birmingham, UK
Nicholas Straw
Centre for Cardiovascular Science, Queen's Medical Research Institute,
University of Edinburgh, Edinburgh, UK
Steven Thomson
School of Geography, Earth and Environmental Sciences, University of
Birmingham, Birmingham, UK
Atallah Elzein
Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry,
University of York, York, UK
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing, China
Di Liu
School of Geography, Earth and Environmental Sciences, University of
Birmingham, Birmingham, UK
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing, China
Linjie Li
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing, China
Pingqing Fu
Institute of Surface Earth System Science, Tianjin University,
Tianjin, China
Alastair C. Lewis
Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry,
University of York, York, UK
National Centre for Atmospheric Science, University of York, York, UK
Roy M. Harrison
School of Geography, Earth and Environmental Sciences, University of
Birmingham, Birmingham, UK
now at: School of Public Health, Imperial College London, London, UK
William J. Bloss
School of Geography, Earth and Environmental Sciences, University of
Birmingham, Birmingham, UK
Miranda Loh
Institute of Occupational Medicine, Edinburgh, UK
Mark R. Miller
Centre for Cardiovascular Science, Queen's Medical Research Institute,
University of Edinburgh, Edinburgh, UK
Zongbo Shi
School of Geography, Earth and Environmental Sciences, University of
Birmingham, Birmingham, UK
Markus Kalberer
Department of Environmental Sciences, University of Basel, Basel,
Switzerland
Department of Chemistry, University of Cambridge, Cambridge, UK
Model code and software
Code developed for analysis in Atmospheric conditions and composition that influence PM2.5 oxidative potential in Beijing, China Kate Wolfer https://github.com/katewolfer/Beijing
Short summary
In this study, we quantify PM2.5 oxidative potential (OP), a metric widely suggested as a potential measure of particle toxicity, in Beijing in summer and winter using four acellular assays. We correlate PM2.5 OP with a comprehensive range of atmospheric and particle composition measurements, demonstrating inter-assay differences and seasonal variation of PM2.5 OP. Using multivariate statistical analysis, we highlight specific particle chemical components and sources that influence OP.
In this study, we quantify PM2.5 oxidative potential (OP), a metric widely suggested as a...
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