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Abstract
Most fine ambient particulate matter (PM2.5)-based epidemiological models use globalized concentration-response (CR) functions assuming that the toxicity of PM2.5 is solely mass-dependent without considering its chemical composition. Although oxidative potential (OP) has emerged as an alternate metric of PM2.5 toxicity, the association between PM2.5 mass and OP on a large spatial extent has not been investigated. In this study, we evaluate this relationship using 385 PM2.5 samples collected from 14 different sites across 4 different continents and using 5 different OP (and cytotoxicity) endpoints. Our results show that the relationship between PM2.5 mass vs. OP (and cytotoxicity) is largely non-linear due to significant differences in the intrinsic toxicity, resulting from a spatially heterogeneous chemical composition of PM2.5. These results emphasize the need to develop localized CR functions incorporating other measures of PM2.5 properties (e.g., OP) to better predict the PM2.5-attributed health burdens.
This study shows that the relationship between concentrations of ambient fine particulate matter (PM2.5) and its health effects may vary in different regions of the world due to significant spatial variations in the toxicities of PM2.5.
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1 University of Illinois at Urbana Champaign, Department of Civil and Environmental Engineering, Urbana, USA (GRID:grid.35403.31) (ISNI:0000 0004 1936 9991)
2 University of Illinois at Urbana Champaign, Department of Civil and Environmental Engineering, Urbana, USA (GRID:grid.35403.31) (ISNI:0000 0004 1936 9991); University of Alberta, Department of Civil and Environmental Engineering, Edmonton, Canada (GRID:grid.17089.37)
3 University of Illinois at Urbana Champaign, Department of Civil and Environmental Engineering, Urbana, USA (GRID:grid.35403.31) (ISNI:0000 0004 1936 9991); Washington University in St. Louis, Department of Energy, Center for Aerosol Science and Engineering, Environmental and Chemical Engineering, St. Louis, USA (GRID:grid.4367.6) (ISNI:0000 0004 1936 9350)
4 University of Illinois at Urbana Champaign, Department of Civil and Environmental Engineering, Urbana, USA (GRID:grid.35403.31) (ISNI:0000 0004 1936 9991); Lehigh University, College of Health, Bethlehem, USA (GRID:grid.259029.5) (ISNI:0000 0004 1936 746X)
5 University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, UK (GRID:grid.6572.6) (ISNI:0000 0004 1936 7486); University of Birmingham, Edgbaston, Institute of Applied Health Research, Birmingham, UK (GRID:grid.6572.6) (ISNI:0000 0004 1936 7486)
6 University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, UK (GRID:grid.6572.6) (ISNI:0000 0004 1936 7486)
7 Universidad de Chile, Las Palmeras 3425, Ñuñoa, Department of Chemistry, Faculty of Science, Santiago, Chile (GRID:grid.443909.3) (ISNI:0000 0004 0385 4466)
8 Physical Research Laboratory, Geosciences Division, Ahmedabad, India (GRID:grid.465082.d) (ISNI:0000 0000 8527 8247)
9 Indian Institute of Technology Kanpur, Department of Civil Engineering, Kanpur, India (GRID:grid.417965.8) (ISNI:0000 0000 8702 0100); Indian Institute of Technology Kanpur, Department of Sustainable Energy Engineering, Kanpur, India (GRID:grid.417965.8) (ISNI:0000 0000 8702 0100)
10 Georgia Institute of Technology, School of Earth and Atmospheric Sciences, Atlanta, USA (GRID:grid.213917.f) (ISNI:0000 0001 2097 4943)