Articles | Volume 24, issue 5
https://doi.org/10.5194/acp-24-3257-2024
© 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-24-3257-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Mar 2024
Research article |
| 15 Mar 2024
| 15 Mar 2024
Oxidative potential apportionment of atmospheric PM1: a new approach combining high-sensitive online analysers for chemical composition and offline OP measurement technique
Julie Camman
Aix-Marseille Université, CNRS, LCE, Marseille, France
Université Grenoble Alpes, CNRS, IRD, IGE (UMR 5001), 38000 Grenoble, France
Aix-Marseille Université, CNRS, LCE, Marseille, France
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, Switzerland
Nicolas Marchand
Aix-Marseille Université, CNRS, LCE, Marseille, France
Amandine Durand
Aix-Marseille Université, CNRS, LCE, Marseille, France
Grégory Gille
AtmoSud, Regional Network for Air Quality Monitoring of Provence-Alpes-Côte-d'Azur, Marseille, France
Ludovic Lanzi
AtmoSud, Regional Network for Air Quality Monitoring of Provence-Alpes-Côte-d'Azur, Marseille, France
Jean-Luc Jaffrezo
Université Grenoble Alpes, CNRS, IRD, IGE (UMR 5001), 38000 Grenoble, France
Henri Wortham
Aix-Marseille Université, CNRS, LCE, Marseille, France
Gaëlle Uzu
Université Grenoble Alpes, CNRS, IRD, IGE (UMR 5001), 38000 Grenoble, France
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Cited
17 citations as recorded by crossref.
- The oxidative potential of atmospheric particulate matter as an indicator of health risk of air pollution: a review Q. Liu & J. Schauer https://doi.org/10.1007/s10311-025-01882-z
- From real-time to long-term source apportionment of PM10 using high-time-resolution measurements of aerosol physical properties: methodology and example application at an urban background site (Aosta, Italy) H. Diémoz et al. https://doi.org/10.5194/amt-19-3625-2026
- Xact625i vs. PX-375: a comparative study of online XRF ambient multi-metal monitors vs. ICP-MS L. Windell et al. https://doi.org/10.5194/amt-18-7021-2025
- Integrating time-resolved elemental composition, black carbon, and size-resolved measurements for source apportionment and characterization of urban PM10 A. Burgos G. et al. https://doi.org/10.1016/j.apr.2026.102937
- Size distribution of dithiothreitol oxidative potential of atmospheric aerosols at an urban site M. Alfosea-Simón et al. https://doi.org/10.1016/j.atmosenv.2025.121756
- Characterization of PM2.5 and its oxidative potential in three areas of Southern Italy D. Cesari et al. https://doi.org/10.1016/j.atmosenv.2025.121146
- Multi-site vs. supersite aerosol source apportionment in a lignite basin area R. Seibert et al. https://doi.org/10.1016/j.envpol.2025.127226
- Machine learning approaches to predict oxidative potential of fine particulate matter based on chemical constituents J. Lee et al. https://doi.org/10.1016/j.engappai.2025.111170
- Contrasting features of winter-time PM2.5 pollution and PM2.5-toxicity based on oxidative potential: A long-term (2016–2023) study over Kolkata megacity at eastern Indo-Gangetic Plain A. Ghosh et al. https://doi.org/10.1016/j.scitotenv.2024.176640
- Online Measurements during Simulated Atmospheric Aging Track the Strongly Increasing Oxidative Potential of Complex Combustion Aerosols Relative to Their Primary Emissions R. Cheung et al. https://doi.org/10.1021/acs.estlett.4c00956
- Seasonal and diurnal variability of fine aerosol sources derived from receptor modeling of multi-instrument online composition measurements in Athens, Greece G. Grivas et al. https://doi.org/10.1016/j.atmosenv.2026.122061
- Assessing the sources of submicron airborne elements at two sites in the Fos-Marseille basin through rolling positive matrix factorization M. Brezins et al. https://doi.org/10.5194/ar-4-231-2026
- Characterizing the metal(loid) contribution to the oxidative potential of thoracic-sized road dust particles S. Das et al. https://doi.org/10.1016/j.envpol.2025.126785
- Evolution of the V/Ni Ratio in Response to IMO Regulation-Induced Fuel Shifts and Scrubber Use M. Brezins et al. https://doi.org/10.1021/acs.estlett.5c01199
- Source apportionment and oxidative potential of PM1 and PM2.5 in Seoul, South Korea T. Kim et al. https://doi.org/10.1016/j.envint.2025.110010
- Influence of redox-active components and particle size on reactive oxygen species production and oxidative potential of marine aerosols around the Arabian Peninsula H. Tong et al. https://doi.org/10.1039/D5EA00093A
- Comparative analysis of multiple health risks from different air pollution events F. Zheng et al. https://doi.org/10.1016/j.jes.2026.02.033
17 citations as recorded by crossref.
- The oxidative potential of atmospheric particulate matter as an indicator of health risk of air pollution: a review Q. Liu & J. Schauer https://doi.org/10.1007/s10311-025-01882-z
- From real-time to long-term source apportionment of PM10 using high-time-resolution measurements of aerosol physical properties: methodology and example application at an urban background site (Aosta, Italy) H. Diémoz et al. https://doi.org/10.5194/amt-19-3625-2026
- Xact625i vs. PX-375: a comparative study of online XRF ambient multi-metal monitors vs. ICP-MS L. Windell et al. https://doi.org/10.5194/amt-18-7021-2025
- Integrating time-resolved elemental composition, black carbon, and size-resolved measurements for source apportionment and characterization of urban PM10 A. Burgos G. et al. https://doi.org/10.1016/j.apr.2026.102937
- Size distribution of dithiothreitol oxidative potential of atmospheric aerosols at an urban site M. Alfosea-Simón et al. https://doi.org/10.1016/j.atmosenv.2025.121756
- Characterization of PM2.5 and its oxidative potential in three areas of Southern Italy D. Cesari et al. https://doi.org/10.1016/j.atmosenv.2025.121146
- Multi-site vs. supersite aerosol source apportionment in a lignite basin area R. Seibert et al. https://doi.org/10.1016/j.envpol.2025.127226
- Machine learning approaches to predict oxidative potential of fine particulate matter based on chemical constituents J. Lee et al. https://doi.org/10.1016/j.engappai.2025.111170
- Contrasting features of winter-time PM2.5 pollution and PM2.5-toxicity based on oxidative potential: A long-term (2016–2023) study over Kolkata megacity at eastern Indo-Gangetic Plain A. Ghosh et al. https://doi.org/10.1016/j.scitotenv.2024.176640
- Online Measurements during Simulated Atmospheric Aging Track the Strongly Increasing Oxidative Potential of Complex Combustion Aerosols Relative to Their Primary Emissions R. Cheung et al. https://doi.org/10.1021/acs.estlett.4c00956
- Seasonal and diurnal variability of fine aerosol sources derived from receptor modeling of multi-instrument online composition measurements in Athens, Greece G. Grivas et al. https://doi.org/10.1016/j.atmosenv.2026.122061
- Assessing the sources of submicron airborne elements at two sites in the Fos-Marseille basin through rolling positive matrix factorization M. Brezins et al. https://doi.org/10.5194/ar-4-231-2026
- Characterizing the metal(loid) contribution to the oxidative potential of thoracic-sized road dust particles S. Das et al. https://doi.org/10.1016/j.envpol.2025.126785
- Evolution of the V/Ni Ratio in Response to IMO Regulation-Induced Fuel Shifts and Scrubber Use M. Brezins et al. https://doi.org/10.1021/acs.estlett.5c01199
- Source apportionment and oxidative potential of PM1 and PM2.5 in Seoul, South Korea T. Kim et al. https://doi.org/10.1016/j.envint.2025.110010
- Influence of redox-active components and particle size on reactive oxygen species production and oxidative potential of marine aerosols around the Arabian Peninsula H. Tong et al. https://doi.org/10.1039/D5EA00093A
- Comparative analysis of multiple health risks from different air pollution events F. Zheng et al. https://doi.org/10.1016/j.jes.2026.02.033
Saved (final revised paper)
Latest update: 21 Jul 2026
Short summary
Fine particle (PM1) pollution is a major health issue in the city of Marseille, which is subject to numerous pollution sources. Sampling carried out during the summer enabled a fine characterization of the PM1 sources and their oxidative potential, a promising new metric as a proxy for health impact. PM1 came mainly from combustion sources, secondary ammonium sulfate, and organic nitrate, while the oxidative potential of PM1 came from these sources and from resuspended dust in the atmosphere.
Fine particle (PM1) pollution is a major health issue in the city of Marseille, which is subject...
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