Toxicity-Informed Control of Global PM2.5 Emissions

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ID: 314308
2026
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Abstract
Abstract Fine particulate matter (PM2.5) remains a leading global health risk, yet air pollution control policies typically assume equal toxicity across emission sources. Unravelling the unequal toxicities in global PM2.5 emissions can support more effective air pollution control. Here, we integrate cell-based toxicological profiles with global emission inventories to develop the first global dataset of toxicity-adjusted PM2.5 emissions. We show that global toxicity-adjusted emissions are dominated by residential solid-fuel combustion, and that hotspots of PM2.5 mass and toxicity diverge substantially, with the highest toxicities occurring largely in regions reliant on traditional biomass. Low-income countries exhibit disproportionately high toxicity-adjusted emissions relative to their energy use, revealing a strong global environmental inequity. Incorporating unequal toxicities reshapes emission-control priorities, shifting many countries from mass-dominated industrial or power sectors toward residential combustion. We propose a toxicity-informed framework for air pollution control, which is adaptable to diverse socioeconomic contexts and can enhance global health and sustainability.
Reference Key
openalex_W7162004100 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Haotian Zheng, S S Wang, Xiangdong Li, Qi Li, Di Wu, Zbigniew Klimont, Dongxu Zhao, Lyuyin Huang, Zhaoxin Dong, Qingru Wu, Jingkun Jiang, Ling Jin, H. He, Kebin He, Jincai Zhao, Qian Liu, Scott Weichenthal, Aaron J Cohen, Jiming Hao
Journal national science review
Year 2026
DOI
10.1093/nsr/nwag301
URL
https://doi.org/10.1093/nsr/nwag301
Keywords Keywords not found

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