An apportionment method for the oxidative potential of atmospheric particulate matter sources: application to a one-year study in Chamonix, France

• Published in: Atmospheric chemistry and physics Vol. 18; no. 13; pp. 9617 - 9629
• Main Authors: Weber, Samuël, Uzu, Gaëlle, Calas, Aude, Chevrier, Florie, Besombes, Jean-Luc, Charron, Aurélie, Salameh, Dalia, Ježek, Irena, Močnik, GriÅ¡a, Jaffrezo, Jean-Luc
• Format: Journal Article
• Language: English
• Published: Katlenburg-Lindau Copernicus GmbH 09.07.2018; European Geosciences Union; Copernicus Publications
• Subjects: Aerosol effects; Aerosols; Air pollution; Ascorbic acid; Atmospheric particulate matter; Atmospheric particulates; Biocompatibility; Biomass burning; Burning; Chemical Sciences; Chemical speciation; Dithiothreitol; Environmental aspects; Environmental Sciences; Epidemiology; Frameworks; Health aspects; In vivo methods and tests; Lungs; Mathematical analysis; Matrix methods; Metals; Organic chemistry; Oxidative stress; Oxidoreductions; Particulate emissions; Particulate matter; Particulate matter sources; Particulate pollutants; Regression analysis; Speciation; Statistical analysis; Statistical methods; Suspended particulate matter; Toxicology; France; GEOF
• ISSN: 1680-7324; 1680-7316; 1680-7324
• DOI: 10.5194/acp-18-9617-2018

Inhaled aerosolized particulate matter (PM) induces cellular oxidative stress in vivo, leading to adverse health outcomes. The oxidative potential (OP) of PM appears to be a more relevant proxy of the health impact of the aerosol rather than the total mass concentration. However, the relative contributions of the aerosol sources to the OP are still poorly known. In order to better quantify the impact of different PM sources, we sampled aerosols in a French city for one year (2014, 115 samples). A coupled analysis with detailed chemical speciation (more than 100 species, including organic and carbonaceous compounds, ions, metals and aethalometer measurements) and two OP assays (ascorbic acid, AA, and dithiothreitiol, DTT) in a simulated lung fluid (SLF) were performed in these samples. We present in this study a statistical framework using a coupled approach with positive matrix factorization (PMF) and multiple linear regression to attribute a redox-activity to PM sources. Our results highlight the importance of the biomass burning and vehicular sources to explain the observed OP for both assays. In general, we see a different contribution of the sources when considering the OP AA, OP DTT or the mass of the PM10. Moreover, significant differences are observed between the DTT and AA tests which emphasized chemical specificities of the two tests and the need of a standardized approach for the future studies on epidemiology or toxicology of the PM.