Discovering oxidative potential (OP) drivers of atmospheric PM10, PM2.5, and PM1 simultaneously in North-Eastern Spain

• Published in: The Science of the total environment 2023-01, Vol.857, p.159386-159386, Article 159386
• Main Authors: in 't Veld, Marten, Pandolfi, M., Amato, F., Pérez, N., Reche, C., Dominutti, P., Jaffrezo, J., Alastuey, A., Querol, X., Uzu, G.
• Format: Article
• Language: English
• Subjects: Analytical chemistry; Chemical Sciences; Environment and Society; Environmental Engineering; Environmental Sciences; Global Changes; Oxidative potential; PM1; PM10; PM2.5; Positive matrix factorization; Source apportionment
• ISSN: 0048-9697; 1879-1026
• DOI: 10.1016/j.scitotenv.2022.159386

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. [Display omitted] •First paper quantifying a yearlong dataset on OP in PM10, PM2.5, and PM1•Drivers of OP in PM10 and PM1 in the urban station and PM1 in the rural station•Multisite multisize PMF identified 9 common sources.•Main drivers in Barcelona were from Anthropogenic sources.•PM1 in Barcelona has different sources driving OP compared to PM10 and PM2.5.