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Akademický článek

Source apportionment of atmospheric PM10 oxidative potential: synthesis of 15 year-round urban datasets in France

Autor: S. Weber, G. Uzu, O. Favez, L. J. S. Borlaza, A. Calas, D. Salameh, F. Chevrier, J. Allard, J.-L. Besombes, A. Albinet, S. Pontet, B. Mesbah, G. Gille, S. Zhang, C. Pallares, E. Leoz-Garziandia, J.-L. Jaffrezo

Publikováno v: Atmospheric Chemistry and Physics, Vol 21, Pp 11353-11378 (2021)

Reactive oxygen species (ROS) carried or induced by particulate matter (PM) are suspected of inducing oxidative stress in vivo, leading to adverse health impacts such as respiratory or cardiovascular diseases. The oxidative potential (OP) of PM, disp

Externí odkaz: https://doaj.org/article/9e2f4b1a88ab4bd18f2660316083c00e

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Akademický článek

Arabitol, mannitol, and glucose as tracers of primary biogenic organic aerosol: the influence of environmental factors on ambient air concentrations and spatial distribution over France

Publikováno v: Atmospheric Chemistry and Physics, Vol 19, Pp 11013-11030 (2019)

The primary sugar compounds (SCs, defined as glucose, arabitol, and mannitol) are widely recognized as suitable molecular markers to characterize and apportion primary biogenic organic aerosol emission sources. This work improves our understanding of

Externí odkaz: https://doaj.org/article/7639d6edf8ae4bf38e81daf79ac73ae9

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Akademický článek

Polyols and glucose particulate species as tracers of primary biogenic organic aerosols at 28 French sites

Publikováno v: Atmospheric Chemistry and Physics, Vol 19, Pp 3357-3374 (2019)

A growing number of studies are using specific primary sugar species, such as sugar alcohols or primary saccharides, as marker compounds to characterize and apportion primary biogenic organic aerosols (PBOAs) in the atmosphere. To better understand t

Externí odkaz: https://doaj.org/article/967893bf593f415fabb02f5cac67aed6

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Akademický článek

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

Autor: S. Weber, G. Uzu, A. Calas, F. Chevrier, J.-L. Besombes, A. Charron, D. Salameh, I. Ježek, G. Močnik, J.-L. Jaffrezo

Publikováno v: Atmospheric Chemistry and Physics, Vol 18, Pp 9617-9629 (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 t

Externí odkaz: https://doaj.org/article/4aabf7f7ea25437c826cd26d42b8d0b4

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Akademický článek

Comparison between five acellular oxidative potential measurement assays performed with detailed chemistry on PM10 samples from the city of Chamonix (France)

Autor: A. Calas, G. Uzu, F. J. Kelly, S. Houdier, J. M. F. Martins, F. Thomas, F. Molton, A. Charron, C. Dunster, A. Oliete, V. Jacob, J.-L. Besombes, F. Chevrier, J.-L. Jaffrezo

Publikováno v: Atmospheric Chemistry and Physics, Vol 18, Pp 7863-7875 (2018)

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 quan

Externí odkaz: https://doaj.org/article/bac24f6003ff4707a704f59948d4f7e2

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Akademický článek

Estimating contributions from biomass burning, fossil fuel combustion, and biogenic carbon to carbonaceous aerosols in the Valley of Chamonix: a dual approach based on radiocarbon and levoglucosan

Autor: L. Bonvalot, T. Tuna, Y. Fagault, J.-L. Jaffrezo, V. Jacob, F. Chevrier, E. Bard

Publikováno v: Atmospheric Chemistry and Physics, Vol 16, Pp 13753-13772 (2016)

Atmospheric particulate matter (PM) affects the climate in various ways and has a negative impact on human health. In populated mountain valleys in Alpine regions, emissions from road traffic contribute to carbonaceous aerosols, but residential wo

Externí odkaz: https://doaj.org/article/4440ca1ad2b34ebe91140b0a3ee73716

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Akademický článek

Pluto’s Surface Mapping Using Unsupervised Learning from Near-infrared Observations of LEISA/Ralph

Autor: A. Emran, C. M. Dalle Ore, C. J. Ahrens, M. K. H. Khan, V. F. Chevrier, D. P. Cruikshank

Publikováno v: The Planetary Science Journal, Vol 4, Iss 1, p 15 (2023)

We map the surface of Pluto using an unsupervised machine-learning technique using the near-infrared observations of the LEISA/Ralph instrument on board NASA’s New Horizons spacecraft. The principal-component-reduced Gaussian mixture model was impl

Externí odkaz: https://doaj.org/article/915b9425abe04204a3441c17d57ebea5

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