Articles | Volume 24, issue 12
https://doi.org/10.5194/acp-24-7261-2024
© Author(s) 2024. 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-24-7261-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jun 2024
Research article |
| 26 Jun 2024
| 26 Jun 2024
Unveiling the optimal regression model for source apportionment of the oxidative potential of PM10
Vy Dinh Ngoc Thuy
Université Grenoble Alpes, CNRS, IRD, INP-G, INRAE, IGE (UMR 5001), 38000 Grenoble, France
Jean-Luc Jaffrezo
Université Grenoble Alpes, CNRS, IRD, INP-G, INRAE, IGE (UMR 5001), 38000 Grenoble, France
Ian Hough
Université Grenoble Alpes, CNRS, IRD, INP-G, INRAE, IGE (UMR 5001), 38000 Grenoble, France
Pamela A. Dominutti
Université Grenoble Alpes, CNRS, IRD, INP-G, INRAE, IGE (UMR 5001), 38000 Grenoble, France
Guillaume Salque Moreton
Atmo AuRA, 69500 Bron, France
Grégory Gille
Atmo Sud, 13006 Marseille, France
Florie Francony
Atmo Nouvelle Aquitaine, 33692 Merignac, France
Arabelle Patron-Anquez
Atmo Hauts de France, 59044 Lille, France
Olivier Favez
INERIS, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France
Laboratoire central de surveillance de la qualité de l'air (LCSQA), 60550 Verneuil-en-Halatte, France
Université Grenoble Alpes, CNRS, IRD, INP-G, INRAE, IGE (UMR 5001), 38000 Grenoble, France
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Cited
13 citations as recorded by crossref.
- Oxidative potential of atmospheric particles in Europe and exposure scenarios C. Tassel et al. https://doi.org/10.1038/s41586-025-09666-9
- Source apportionment of particulate matter and its oxidative potential in an urban-industrial hot spot of Central Italy L. Massimi et al. https://doi.org/10.1016/j.atmosenv.2026.122044
- A comparative study of methods for calculating the oxidative potential (OP) of atmospheric particulate matter E. Souza et al. https://doi.org/10.1039/D5EA00025D
- Chemometric assessment, seasonal variation and source apportionment of air pollutants in Islamabad's industrial area M. Anjum et al. https://doi.org/10.1016/j.jtemin.2025.100244
- Oxidative potential and cellular toxicity of carbonaceous aerosols undergoing aging in an atmospheric simulation chamber V. Vernocchi et al. https://doi.org/10.1016/j.taap.2025.117573
- Assessment of oxidative stress induced by atmospheric particulate matter: from acellular and cellular assays to the use of model and experimental organisms E. Vaccarella et al. https://doi.org/10.1016/j.scitotenv.2025.178651
- The role of TPBF, perceived moral obligation and green intention on pro-environmental behavior and environmental sustainability of wetland MSMEs with an environmental-based view approach for green business M. Naparin https://doi.org/10.1080/23311886.2025.2488115
- Dithiothreitol oxidative potential (OP) of PM2.5 in Beijing: Quantitative contribution of metals to OP and its prediction based on machine learning models Y. Ma et al. https://doi.org/10.1016/j.jhazmat.2025.139471
- Decadal trends (2013–2023) in PM10 sources and oxidative potential at a European urban supersite (Grenoble, France) V. Ngoc Thuy Dinh et al. https://doi.org/10.5194/acp-26-247-2026
- Comparison of modelled and experimental PM10 source contributions for mapping source-specific oxidative potential F. Pekel et al. https://doi.org/10.1016/j.aeaoa.2025.100339
- Seasonal heterogeneity of ambient size-resolved aerosol particles inducing reactive oxygen species in coastal megacities F. Wei et al. https://doi.org/10.1007/s11783-026-2128-6
- Unraveling the Different Drivers of PM2.5 Mass and Oxidative Potential at Two Sites of Southern Italy S. Potì et al. https://doi.org/10.1021/acs.est.6c02676
- Explainable AI for predicting oxidative potential of fine particles and key chemical drivers S. Lee et al. https://doi.org/10.1016/j.jhazmat.2025.139842
13 citations as recorded by crossref.
- Oxidative potential of atmospheric particles in Europe and exposure scenarios C. Tassel et al. https://doi.org/10.1038/s41586-025-09666-9
- Source apportionment of particulate matter and its oxidative potential in an urban-industrial hot spot of Central Italy L. Massimi et al. https://doi.org/10.1016/j.atmosenv.2026.122044
- A comparative study of methods for calculating the oxidative potential (OP) of atmospheric particulate matter E. Souza et al. https://doi.org/10.1039/D5EA00025D
- Chemometric assessment, seasonal variation and source apportionment of air pollutants in Islamabad's industrial area M. Anjum et al. https://doi.org/10.1016/j.jtemin.2025.100244
- Oxidative potential and cellular toxicity of carbonaceous aerosols undergoing aging in an atmospheric simulation chamber V. Vernocchi et al. https://doi.org/10.1016/j.taap.2025.117573
- Assessment of oxidative stress induced by atmospheric particulate matter: from acellular and cellular assays to the use of model and experimental organisms E. Vaccarella et al. https://doi.org/10.1016/j.scitotenv.2025.178651
- The role of TPBF, perceived moral obligation and green intention on pro-environmental behavior and environmental sustainability of wetland MSMEs with an environmental-based view approach for green business M. Naparin https://doi.org/10.1080/23311886.2025.2488115
- Dithiothreitol oxidative potential (OP) of PM2.5 in Beijing: Quantitative contribution of metals to OP and its prediction based on machine learning models Y. Ma et al. https://doi.org/10.1016/j.jhazmat.2025.139471
- Decadal trends (2013–2023) in PM10 sources and oxidative potential at a European urban supersite (Grenoble, France) V. Ngoc Thuy Dinh et al. https://doi.org/10.5194/acp-26-247-2026
- Comparison of modelled and experimental PM10 source contributions for mapping source-specific oxidative potential F. Pekel et al. https://doi.org/10.1016/j.aeaoa.2025.100339
- Seasonal heterogeneity of ambient size-resolved aerosol particles inducing reactive oxygen species in coastal megacities F. Wei et al. https://doi.org/10.1007/s11783-026-2128-6
- Unraveling the Different Drivers of PM2.5 Mass and Oxidative Potential at Two Sites of Southern Italy S. Potì et al. https://doi.org/10.1021/acs.est.6c02676
- Explainable AI for predicting oxidative potential of fine particles and key chemical drivers S. Lee et al. https://doi.org/10.1016/j.jhazmat.2025.139842
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
The capacity of particulate matter (PM) to generate reactive oxygen species in vivo is represented by oxidative potential (OP). This study focuses on finding the appropriate model to evaluate the oxidative character of PM sources in six sites using the PM sources and OP. Eight regression techniques are introduced to assess the OP of PM. The study highlights the importance of selecting a model according to the input data characteristics and establishes some recommendations for the procedure.
The capacity of particulate matter (PM) to generate reactive oxygen species in vivo is...
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