An apportionment method for the oxidative potential of atmospheric particulate matter sources: application to a one-year study in Chamonix, France
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 contri...
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Veröffentlicht in: | Atmospheric chemistry and physics 2018-07, Vol.18 (13), p.9617-9629 |
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Zusammenfassung: | 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. |
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ISSN: | 1680-7324 1680-7316 1680-7324 |
DOI: | 10.5194/acp-18-9617-2018 |