Preprints
https://doi.org/10.5194/egusphere-2026-566
https://doi.org/10.5194/egusphere-2026-566
23 Feb 2026
 | 23 Feb 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Aerosol oxidative potential and reactive species predicted with a chemical kinetics model (KM-OP)

Ashmi Mishra, Steven Lelieveld, Matteo Krüger, Steven J. Campbell, Deepchandra Srivastava, Grazia M. Lanzafame, Sophie Tomaz, Olivier Favez, Nicolas Bonnaire, Franco Lucarelli, Laurent Y. Alleman, Gaëlle Uzu, Jean-Luc Jaffrezo, Gang I. Chen, David C. Green, Max Priestman, Anja H. Tremper, Alexandre Barth, Markus Kalberer, Benjamin A. Musa Bandowe, Gerhard Lammel, Ulrich Pöschl, Pourya Shahpoury, Alexandre Albinet, and Thomas Berkemeier

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 consumption of antioxidants, such as 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 secondary organic aerosol (SOA). We apply the model to field measurement data of PM composition and OP, obtaining good agreement for three different locations in Europe.

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 SOA as the strongest contributor to antioxidant-based OP assays, with minor contributions from Cu and Fe ions. Cu dominates the production of 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.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Atmospheric Chemistry and Physics.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Ashmi Mishra, Steven Lelieveld, Matteo Krüger, Steven J. Campbell, Deepchandra Srivastava, Grazia M. Lanzafame, Sophie Tomaz, Olivier Favez, Nicolas Bonnaire, Franco Lucarelli, Laurent Y. Alleman, Gaëlle Uzu, Jean-Luc Jaffrezo, Gang I. Chen, David C. Green, Max Priestman, Anja H. Tremper, Alexandre Barth, Markus Kalberer, Benjamin A. Musa Bandowe, Gerhard Lammel, Ulrich Pöschl, Pourya Shahpoury, Alexandre Albinet, and Thomas Berkemeier

Status: open (until 06 Apr 2026)

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Ashmi Mishra, Steven Lelieveld, Matteo Krüger, Steven J. Campbell, Deepchandra Srivastava, Grazia M. Lanzafame, Sophie Tomaz, Olivier Favez, Nicolas Bonnaire, Franco Lucarelli, Laurent Y. Alleman, Gaëlle Uzu, Jean-Luc Jaffrezo, Gang I. Chen, David C. Green, Max Priestman, Anja H. Tremper, Alexandre Barth, Markus Kalberer, Benjamin A. Musa Bandowe, Gerhard Lammel, Ulrich Pöschl, Pourya Shahpoury, Alexandre Albinet, and Thomas Berkemeier
Ashmi Mishra, Steven Lelieveld, Matteo Krüger, Steven J. Campbell, Deepchandra Srivastava, Grazia M. Lanzafame, Sophie Tomaz, Olivier Favez, Nicolas Bonnaire, Franco Lucarelli, Laurent Y. Alleman, Gaëlle Uzu, Jean-Luc Jaffrezo, Gang I. Chen, David C. Green, Max Priestman, Anja H. Tremper, Alexandre Barth, Markus Kalberer, Benjamin A. Musa Bandowe, Gerhard Lammel, Ulrich Pöschl, Pourya Shahpoury, Alexandre Albinet, and Thomas Berkemeier

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Short summary
In this study, we develop and apply a kinetic model that estimates oxidative potential (OP) based on particulate matter (PM) composition. The model consolidates a large set of laboratory data from different OP assays in the presence of organic molecules, metals, and quinones. We applied the model to field data of PM composition and OP and found good agreement across three sites. The model analysis indicates that OP is mainly driven by organic molecules and copper.
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