Comparison between five acellular oxidative potential measurement assays performed with detailed chemistry on PM<sub>10</sub> samples from the city of Chamonix (France)
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Published:2018-06-05
Issue:11
Volume:18
Page:7863-7875
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Calas Aude, Uzu GaëlleORCID, Kelly Frank J., Houdier Stephan, Martins Jean M. F., Thomas Fabrice, Molton Florian, Charron Aurélie, Dunster Christina, Oliete Ana, Jacob Véronique, Besombes Jean-LucORCID, Chevrier Florie, Jaffrezo Jean-Luc
Abstract
Abstract. Many studies have demonstrated associations between exposure to ambient
particulate matter (PM) and adverse health outcomes in humans that can be
explained by PM capacity to induce oxidative stress in vivo. Thus, assays
have been developed to quantify the oxidative potential (OP) of PM as a more
refined exposure metric than PM mass alone. Only a small number of studies
have compared different acellular OP measurements for a given set of ambient
PM samples. Yet, fewer studies have compared different assays over a year-long period and
with detailed chemical characterization of ambient PM. In
this study, we report on seasonal variations of the dithiothreitol (DTT),
ascorbic acid (AA), electron spin resonance (ESR) and the
respiratory tract
lining fluid (RTLF, composed of the reduced glutathione (GSH) and ascorbic
acid (ASC)) assays over a 1-year period in which 100 samples were analyzed.
A detailed PM10 characterization allowed univariate and
multivariate regression analyses in order to obtain further insight into
groups of chemical species that drive OP measurements. Our results show that
most of the OP assays were strongly intercorrelated over the sampling year
but also these correlations differed when considering specific sampling
periods (cold vs. warm). All acellular assays are correlated with a
significant number of chemical species when considering univariate
correlations, especially for the DTT assay. Evidence is also presented of a
seasonal contrast over the sampling period with significantly higher OP
values during winter for the DTT, AA, GSH and ASC assays, which were assigned
to biomass burning species by the multiple linear regression models. The ESR
assay clearly differs from the other tests as it did not show seasonal
dynamics and presented weaker correlations with other assays and chemical
species.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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