11 results on '"Darfeuil S"'
Search Results
2. Annual variation of source contributions to PM10 and oxidative potential in a mountainous area with traffic, biomass burning, cement-plant and biogenic influences
- Author
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Glojek, K., Dinh Ngoc Thuy, V., Weber, S., Uzu, G., Manousakas, M., Elazzouzi, R., Džepina, K., Darfeuil, S., Ginot, P., Jaffrezo, J.L., Žabkar, R., Turšič, J., Podkoritnik, A., and Močnik, G.
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- 2024
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3. Aerosol source apportionment uncertainty linked to the choice of input chemical components
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Amato, F., van Drooge, B.L., Jaffrezo, J.L., Favez, O., Colombi, C., Cuccia, E., Reche, C., Ippolito, F., Ridolfo, S., Lara, R., Uzu, G., Ngoc, T.V.D., Dominutti, P., Darfeuil, S., Albinet, A., Srivastava, D., Karanasiou, A., Lanzani, G., Alastuey, A., and Querol, X.
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- 2024
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4. Aerosol source apportionment uncertainty linked to the choice of input chemical components
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European Commission, Ministerio de Ciencia y Tecnología (España), 0000-0003-1546-9154, 0000-0002-8821-1923, 0000-0002-7294-3556, 0000-0003-2667-5973, 0000-0002-7720-0233, 0000-0002-9876-6383, 0000-0003-3307-2548, 0000-0002-7727-8647, 0000-0001-8010-7024, 0000-0003-1224-6369, 0000-0002-5453-5495, 0000-0002-6549-9899, Amato, Fulvio, van Drooge, Barend L., Jaffrezo, J. L., Favez, O., Colombi, C., Cuccia, E., Reche, Cristina, Ippolito, F., Ridolfo, S., Lara, R., Uzu, G., Ngoc, T. V. D., Dominutti, P., Darfeuil, S., Albinet, A., Srivastava, D., Karanasiou, Angeliki, Lanzani, G., Alastuey, Andrés, Querol, Xavier, European Commission, Ministerio de Ciencia y Tecnología (España), 0000-0003-1546-9154, 0000-0002-8821-1923, 0000-0002-7294-3556, 0000-0003-2667-5973, 0000-0002-7720-0233, 0000-0002-9876-6383, 0000-0003-3307-2548, 0000-0002-7727-8647, 0000-0001-8010-7024, 0000-0003-1224-6369, 0000-0002-5453-5495, 0000-0002-6549-9899, Amato, Fulvio, van Drooge, Barend L., Jaffrezo, J. L., Favez, O., Colombi, C., Cuccia, E., Reche, Cristina, Ippolito, F., Ridolfo, S., Lara, R., Uzu, G., Ngoc, T. V. D., Dominutti, P., Darfeuil, S., Albinet, A., Srivastava, D., Karanasiou, Angeliki, Lanzani, G., Alastuey, Andrés, and Querol, Xavier
- Abstract
For a Positive Matrix Factorization (PMF) aerosol source apportionment (SA) studies there is no standard procedure to select the most appropriate chemical components to be included in the input dataset for a given site typology, nor specific recommendations in this direction. However, these choices are crucial for the final SA outputs not only in terms of number of sources identified but also, and consequently, in the source contributions estimates. In fact, PMF tends to reproduce most of PM mass measured independently and introduced as a total variable in the input data, regardless of the percentage of PM mass which has been chemically characterized, so that the lack of some specific source tracers (e.g. levoglucosan) can potentially affect the results of the whole source apportionment study. The present study elaborates further on the same concept, evaluating quantitatively the impact of lacking specific sources' tracers on the whole source apportionment, both in terms of identified sources and source contributions. This work aims to provide first recommendations on the most suitable and critical components to be included in PMF analyses in order to reduce PMF output uncertainty as much as possible, and better represent the most commons PM sources observed in many sites in Western countries. To this aim, we performed three sensitivity analyses on three different datasets across EU, including extended sets of organic tracers, in order to cover different types of urban conditions (Mediterranean, Continental, and Alpine), source types, and PM fractions. Our findings reveal that the vehicle exhaust source resulted to be less sensitive to the choice of analytes, although source contributions estimates can deviate significantly up to 44 %. On the other hand, for the detection of the non-exhaust one is clearly necessary to analyze specific inorganic elements. The choice of not analysing non-polar organics likely causes the loss of separation of exhaust and non-exhaust fa
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- 2024
5. Seasonal variation of the chemical content and source identification of PM2.5in a mixed landuse in Iran
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Zare Shahne, M., Haghighat, N. R., Hosseini, V., Uzu, G., Taheri, A., Darfeuil, S., Ginot, P., Besombes, J.-L., Pin, M., Jaffrezo, J.-L., and Shamloo, A.
- Abstract
Graphical abstract:
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- 2024
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6. Modélisation statistique des dégradations des moteurs aéronautiques à partir des données de retour d'expérience
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Billon, A., Baysset, S., Darfeuil, S., Laurent Bordes, Christian Paroissin, Laboratoire de Mathématiques et de leurs Applications [Pau] (LMAP), and Université de Pau et des Pays de l'Adour (UPPA)-Centre National de la Recherche Scientifique (CNRS)
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[MATH.MATH-PR]Mathematics [math]/Probability [math.PR] ,ComputingMilieux_MISCELLANEOUS - Abstract
ACT; International audience; no abstract
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- 2010
7. PM 10 -bound trace elements in pan-European urban atmosphere.
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Liu X, Zhang X, Wang T, Jin B, Wu L, Lara R, Monge M, Reche C, Jaffrezo JL, Uzu G, Dominutti P, Darfeuil S, Favez O, Conil S, Marchand N, Castillo S, de la Rosa JD, Stuart G, Eleftheriadis K, Diapouli E, Gini MI, Nava S, Alves C, Wang X, Xu Y, Green DC, Beddows DCS, Harrison RM, Alastuey A, and Querol X
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- Europe, Atmosphere chemistry, Seasons, Air Pollution analysis, Particulate Matter analysis, Air Pollutants analysis, Trace Elements analysis, Environmental Monitoring methods, Cities
- Abstract
Although many studies have discussed the impact of Europe's air quality, very limited research focused on the detailed phenomenology of ambient trace elements (TEs) in PM
10 in urban atmosphere. This study compiled long-term (2013-2022) measurements of speciation of ambient urban PM10 from 55 sites of 7 countries (Switzerland, Spain, France, Greece, Italy, Portugal, UK), aiming to elucidate the phenomenology of 20 TEs in PM10 in urban Europe. The monitoring sites comprised urban background (UB, n = 26), traffic (TR, n = 10), industrial (IN, n = 5), suburban background (SUB, n = 7), and rural background (RB, n = 7) types. The sampling campaigns were conducted using standardized protocols to ensure data comparability. In each country, PM10 samples were collected over a fixed period using high-volume air samplers. The analysis encompassed the spatio-temporal distribution of TEs, and relationships between TEs at each site. Results indicated an annual average for the sum of 20 TEs of 90 ± 65 ng/m3 , with TR and IN sites exhibiting the highest concentrations (130 ± 66 and 131 ± 80 ng/m3 , respectively). Seasonal variability in TEs concentrations, influenced by emission sources and meteorology, revealed significant differences (p < 0.05) across all monitoring sites. Estimation of TE concentrations highlighted distinct ratios between non-carcinogenic and carcinogenic metals, with Zn (40 ± 49 ng/m3 ), Ti (21 ± 29 ng/m3 ), and Cu (23 ± 35 ng/m3 ) dominating non-carcinogenic TEs, while Cr (5 ± 7 ng/m3 ), and Ni (2 ± 6 ng/m3 ) were prominent among carcinogenic ones. Correlations between TEs across diverse locations and seasons varied, in agreement with differences in emission sources and meteorological conditions. This study provides valuable insights into TEs in pan-European urban atmosphere, contributing to a comprehensive dataset for future environmental protection policies., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)- Published
- 2024
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8. Disentangling fine particles (PM 2.5 ) composition in Hanoi, Vietnam: Emission sources and oxidative potential.
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Dominutti PA, Mari X, Jaffrezo JL, Dinh VTN, Chifflet S, Guigue C, Guyomarc'h L, Vu CT, Darfeuil S, Ginot P, Elazzouzi R, Mhadhbi T, Voiron C, Martinot P, and Uzu G
- Abstract
A comprehensive chemical characterization of fine particulate matter (PM
2.5 ) was conducted at an urban site in one of the most densely populated cities of Vietnam, Hanoi. Chemical analysis of a series of 57 daily PM2.5 samples obtained in 2019-2020 included the quantification of a detailed set of chemical tracers as well as the oxidative potential (OP), which estimates the ability of PM to catalyze reactive oxygen species (ROS) generation in vivo as an initial step of health effects due to oxidative stress. The PM2.5 concentrations ranged from 8.3 to 148 μg m-3 , with an annual average of 40.2 ± 26.3 μg m-3 (from September 2019 to December 2020). Our results obtained by applying the Positive Matrix Factorization (PMF) source-receptor apportionment model showed the contribution of nine PM2.5 sources. The main anthropogenic sources contributing to the PM mass concentrations were heavy fuel oil (HFO) combustion (25.3 %), biomass burning (20 %), primary traffic (7.6 %) and long-range transport aerosols (10.6 %). The OP activities were evaluated for the first time in an urban site in Vietnam. The average OPv levels obtained in our study were 3.9 ± 2.4 and 4.5 ± 3.2 nmol min-1 m-3 for OPDTT and OPAA , respectively. We assessed the contribution to OPDTT and OPAA of each PM2.5 source by applying multilinear regression models. It shows that the sources associated with human activities (HFO combustion, biomass burning and primary traffic) are the sources driving OP exposure, suggesting that they should be the first sources to be controlled in future mitigation strategies. This study gives for the first time an extensive and long-term chemical characterization of PM2.5, providing also a link between emission sources, ambient concentrations and exposure to air pollution at an urban site in Hanoi, Vietnam., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)- Published
- 2024
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9. Local incomplete combustion emissions define the PM 2.5 oxidative potential in Northern India.
- Author
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Bhattu D, Tripathi SN, Bhowmik HS, Moschos V, Lee CP, Rauber M, Salazar G, Abbaszade G, Cui T, Slowik JG, Vats P, Mishra S, Lalchandani V, Satish R, Rai P, Casotto R, Tobler A, Kumar V, Hao Y, Qi L, Khare P, Manousakas MI, Wang Q, Han Y, Tian J, Darfeuil S, Minguillon MC, Hueglin C, Conil S, Rastogi N, Srivastava AK, Ganguly D, Bjelic S, Canonaco F, Schnelle-Kreis J, Dominutti PA, Jaffrezo JL, Szidat S, Chen Y, Cao J, Baltensperger U, Uzu G, Daellenbach KR, El Haddad I, and Prévôt ASH
- Abstract
The oxidative potential (OP) of particulate matter (PM) is a major driver of PM-associated health effects. In India, the emission sources defining PM-OP, and their local/regional nature, are yet to be established. Here, to address this gap we determine the geographical origin, sources of PM, and its OP at five Indo-Gangetic Plain sites inside and outside Delhi. Our findings reveal that although uniformly high PM concentrations are recorded across the entire region, local emission sources and formation processes dominate PM pollution. Specifically, ammonium chloride, and organic aerosols (OA) from traffic exhaust, residential heating, and oxidation of unsaturated vapors from fossil fuels are the dominant PM sources inside Delhi. Ammonium sulfate and nitrate, and secondary OA from biomass burning vapors, are produced outside Delhi. Nevertheless, PM-OP is overwhelmingly driven by OA from incomplete combustion of biomass and fossil fuels, including traffic. These findings suggest that addressing local inefficient combustion processes can effectively mitigate PM health exposure in northern India., (© 2024. The Author(s).)
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- 2024
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10. Effects of personal exposure to the oxidative potential of PM 2.5 on oxidative stress biomarkers in pregnant women.
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Marsal A, Sauvain JJ, Thomas A, Lyon-Caen S, Borlaza LJS, Philippat C, Jaffrezo JL, Boudier A, Darfeuil S, Elazzouzi R, Lepeule J, Chartier R, Bayat S, Slama R, Siroux V, and Uzu G
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- Pregnancy, Humans, Female, Pregnant Women, Particulate Matter analysis, Oxidative Stress, 8-Hydroxy-2'-Deoxyguanosine analysis, 8-Hydroxy-2'-Deoxyguanosine metabolism, Biomarkers metabolism, Dithiothreitol, Air Pollutants toxicity, Air Pollutants analysis
- Abstract
Oxidative stress is a prominent pathway for the health effects associated with fine particulate matter (PM
2.5 ) exposure. Oxidative potential (OP) of PM has been associated to several health endpoints, but studies on its impact on biomarkers of oxidative stress remains insufficient. 300 pregnant women from the SEPAGES cohort (France) carried personal PM2.5 samplers for a week and OP was measured using ascorbic acid (AA) and dithiothreitol (DTT) assays, and normalized by 1) PM2.5 mass (OPm ) and 2) sampled air volume (OPv ). A pool of three urine spots collected on the 7th day of PM sampling was analyzed for biomarkers, namely 8-hydroxy-2-deoxyguanosine (8-OHdG), malondialdehyde (MDA) and 8-isoprostaglandin-F2α (8-isoPGF2α). Associations were investigated using adjusted multiple linear regressions. OP effects were additionally investigated by stratifying by median PM2.5 concentration (14 μg m-3 ). In the main models, no association was observed with 8-isoPGF2α, nor MDA. An interquartile range (IQR) increase in OPm AA exposure was associated with increased 8-OHdG (percent change: 6.2 %; 95 % CI: 0.2 % to 12.6 %). In the stratified analysis, exposure to OPm AA was associated with 8-OHdG for participants exposed to low levels of PM2.5 (percent change: 11.4 %; 95 % CI: 3.3 % to 20.1 %), but not for those exposed to high levels (percent change: -1.0 %; 95 % CI: -10.6 % to 9.6 %). Associations for OPm DTT also followed a similar pattern (p-values for OPm AA -PM and OPm DTT -PM interaction terms were 0.12 and 0.11, respectively). Overall, our findings suggest that OPm AA may be associated with increased DNA oxidative damage. This association was not observed with PM2.5 mass concentration exposure. The effects of OPm AA in 8-OHdG tended to be stronger at lower (below median) vs. higher concentrations of PM2.5 . Further epidemiological, toxicological and aerosol research are needed to further investigate the OPm AA effects on 8-OHdG and the potential modifying effect of PM mass concentration on this association., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)- Published
- 2024
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11. Prenatal Exposure to P M 2.5 Oxidative Potential and Lung Function in Infants and Preschool- Age Children: A Prospective Study.
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Marsal A, Slama R, Lyon-Caen S, Borlaza LJS, Jaffrezo JL, Boudier A, Darfeuil S, Elazzouzi R, Gioria Y, Lepeule J, Chartier R, Pin I, Quentin J, Bayat S, Uzu G, and Siroux V
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- Infant, Newborn, Female, Pregnancy, Humans, Infant, Child, Preschool, Prospective Studies, Environmental Exposure analysis, Particulate Matter toxicity, Particulate Matter analysis, Lung, Oxidative Stress, Air Pollutants toxicity, Air Pollutants analysis, Prenatal Exposure Delayed Effects epidemiology, Air Pollution adverse effects, Air Pollution analysis
- Abstract
Background: Fine particulate matter ( PM 2.5 ) has been found to be detrimental to respiratory health of children, but few studies have examined the effects of prenatal PM 2.5 oxidative potential (OP) on lung function in infants and preschool children., Objectives: We estimated the associations of personal exposure to PM 2.5 and OP during pregnancy on offspring objective lung function parameters and compared the strengths of associations between both exposure metrics., Methods: We used data from 356 mother-child pairs from the SEPAGES cohort. PM filters collected twice during a week were analyzed for OP, using the dithiothreitol (DTT) and the ascorbic acid (AA) assays, quantifying the exposure of each pregnant woman. Lung function was assessed with tidal breathing analysis (TBFVL) and nitrogen multiple-breath washout ( N 2 MBW ) test, performed at 6 wk, and airwave oscillometry (AOS) performed at 3 y. Associations of prenatal PM 2.5 mass and OP with lung function parameters were estimated using multiple linear regressions., Results: In neonates, an interquartile (IQR) increase in OP v DTT ( 0.89 nmol / min / m 3 ) was associated with a decrease in functional residual capacity (FRC) measured by N 2 MBW [ β = - 2.26 mL ; 95% confidence interval (CI): - 4.68 , 0.15]. Associations with PM 2.5 showed similar patterns in comparison with OP v DTT but of smaller magnitude. Lung clearance index (LCI) and TBFVL parameters did not show any clear association with the exposures considered. At 3 y, increased frequency-dependent resistance of the lungs ( Rrs 7 - 19 ) from AOS tended to be associated with higher OP v DTT ( β = 0.09 hPa × s / L ; 95% CI: - 0.06 , 0.24) and OP v AA ( IQR = 1.14 nmol / min / m 3 ; β = 0.12 hPa × s / L ; 95% CI: - 0.04 , 0.27) but not with PM 2.5 ( IQR = 6.9 μ g / m 3 ; β = 0.02 hPa × s / L ; 95% CI: - 0.13 , 0.16). Results for FRC and Rrs 7 - 19 remained similar in OP models adjusted on PM 2.5 ., Discussion: Prenatal exposure to OP v DTT was associated with several offspring lung function parameters over time, all related to lung volumes. https://doi.org/10.1289/EHP11155.
- Published
- 2023
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