Aerosol oxidative potential and reactive species predicted with a chemical kinetics model (KM-OP)
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
Exposure to ambient air pollution is a major risk factor for human health yet, the physiological effects of particulate matter (PM) remain poorly understood. Oxidative stress due to excess formation of reactive oxygen species (ROS) is a leading hypothesis for the molecular mechanism behind the adverse health effects of PM. Thus, measurements of ROS production and antioxidant depletion are widely used to assess the oxidative potential (OP) of PM.
Here we introduce a chemical kinetic model of oxidative potential (KM-OP) to elucidate and quantify the effects of PM on the production of ROS and the consumption of ascorbic acid (AA) and dithiothreitol (DTT). The chemical mechanism of the model is based on literature rate coefficients and a large compilation of laboratory data on the effects of transition metal ions, quinones, and organic aerosol (OA). We apply the model to field measurement data of PM composition and OP from three European cities (Grenoble, Paris, London), obtaining good correlations (R2>0.75) and low model bias (<15 %) for 4 out of 6 data sets.
Previous studies found that PM may inflict damage to biomolecules in the lungs mainly via the production of hydroxyl (•OH) radicals. The antioxidant-based OP assays investigated in this study show a good correlation with modeled •OH production. We identify OA as the strongest contributor to antioxidant-based OP assays, with minor contributions from Cu and Fe ions. Cu dominates the production of hydrogen peroxide (H2O2), but does not substantially affect •OH production. Our model and results provide a basis for further investigation and comparison of different metrics of the potential toxicity of PM.
Here we introduce a chemical kinetic model of oxidative potential (KM-OP) to elucidate and quantify the effects of PM on the production of ROS and the consumption of ascorbic acid (AA) and dithiothreitol (DTT). The chemical mechanism of the model is based on literature rate coefficients and a large compilation of laboratory data on the effects of transition metal ions, quinones, and organic aerosol (OA). We apply the model to field measurement data of PM composition and OP from three European cities (Grenoble, Paris, London), obtaining good correlations (R2>0.75) and low model bias (<15 %) for 4 out of 6 data sets.
Previous studies found that PM may inflict damage to biomolecules in the lungs mainly via the production of hydroxyl (•OH) radicals. The antioxidant-based OP assays investigated in this study show a good correlation with modeled •OH production. We identify OA as the strongest contributor to antioxidant-based OP assays, with minor contributions from Cu and Fe ions. Cu dominates the production of hydrogen peroxide (H2O2), but does not substantially affect •OH production. Our model and results provide a basis for further investigation and comparison of different metrics of the potential toxicity of PM.
Date Issued
2026-07-29
Date Acceptance
2026-06-26
Citation
Atmospheric Chemistry and Physics (ACP), 2026, 26 (14), pp.10605-10627
ISSN
1680-7316
Publisher
Copernicus Publications
Start Page
10605
End Page
10627
Journal / Book Title
Atmospheric Chemistry and Physics (ACP)
Volume
26
Issue
14
Copyright Statement
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
License URL
Identifier
10.5194/acp-26-10605-2026
Publication Status
Published
Date Publish Online
2026-07-29