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t Veld M. I., Pandolfi M., Amato F., Perez N., Reche C., Dominutti Pamela, Jaffrezo J., Alastuey A., Querol X., Uzu Gaëlle. (2023). Discovering oxidative potential (OP) drivers of atmospheric PM10, PM2.5, and PM1 simultaneously in North-Eastern Spain. Science of the Total Environment, 857 (2), p. 159386 [16 p.]. ISSN 0048-9697.

Titre du document
Discovering oxidative potential (OP) drivers of atmospheric PM10, PM2.5, and PM1 simultaneously in North-Eastern Spain
Année de publication
2023
Type de document
Article référencé dans le Web of Science WOS:000906909000008
Auteurs
t Veld M. I., Pandolfi M., Amato F., Perez N., Reche C., Dominutti Pamela, Jaffrezo J., Alastuey A., Querol X., Uzu Gaëlle
Source
Science of the Total Environment, 2023, 857 (2), p. 159386 [16 p.] ISSN 0048-9697
Ambient particulate matter (PM) is a major contributor to air pollution, leading to adverse health effects on the human population. It has been suggested that the oxidative potential (OP, as a tracer of oxidative stress) of PM is a possible determinant of its health impact. In this study, samples of PM10, PM2.5, and PM1 were collected roughly every four days from January 2018 until March 2019 at a Barcelona urban background site and Montseny rural background site in northeastern Spain. We determined the chemical composition of samples, allowing us to perform source apportionment using positive matrix factorization. The OP of PM was determined by measuring reactive oxygen species using dithiothreitol and ascorbic acid assays. Finally, to link the sources with the measured OP, both a Pearson's correlation and a multiple linear regression model were applied to the dataset. The results showed that in Barcelona, the OP of PM10 was much higher than those of PM2.5 and PM1, whereas in Montseny results for all PM sizes were in the same range, but significantly lower than in Barcelona. In Barcelona, several anthropogenic sources were the main drivers of OP in PM10 (Combustion + Road Dust + Heavy Oil + OC-rich) and PM2.5 (Road Dust + Combustion). In contrast, PM1 -associated OP was driven by Industry, with a much lower contribution to PM10 and PM2.5 mass. Meanwhile, Montseny exhibited no clear drivers for OP evolution, likely explaining the lack of a significant difference in OP between PM10, PM2.5, and PM1. Overall, this study indicates that size fraction matters for OP, as a function of the environment typology. In an urban context, OP is driven by the PM10 and PM1 size fractions, whereas only the PM1 fraction is involved in rural environments.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Sciences du milieu [021] ; Pollution [038]
Description Géographique
ESPAGNE
Localisation
Fonds IRD [F B010086802]
Identifiant IRD
fdi:010086802
Contact