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Aerosolomics based approach to discover source molecular markers: A case study for discriminating residential wood heating vs garden green waste burning emission sources
No full textInternational audienceBiomass burning is a significant source of particulate matter (PM) in ambient air and its accurate source apportionment is a major concern for air quality. The discrimination between residential wood heating (RWH) and garden green waste burning (GWB) particulate matter (PM) is rarely achieved. The objective of this work was to evaluate the potential of non-targeted screening (NTS) analyses using HRMS (high resolution mass spectrometry) data to reveal discriminating potential molecular markers of both sources. Two residential wood combustion appliances (wood log stove and fireplace) were tested under different output conditions and wood moisture content. GWB experiments were carried out using two burning materials (fallen leaves and hedge trimming). PM samples were characterized using NTS approaches with both LC- and GC-HRMS (liquid and gas chromatography-HRMS). The analytical procedures were optimized to detect as many species as possible. Chemical fingerprints obtained were compared combining several multivariate statistical analyses (PCA, HCAand PLS-DA). Results showed a strong impact of the fuel nature and the combustion quality on the chemical fingerprints. 31 and 4 possible markers were discovered as characteristic of GWB and RWH, respectively. Complementary work was attempted to identify potential molecular formulas of the different potential marker candidates. The combination of HRMS NTS chemical characterization with multivariate statistical analyses shows promise for uncovering organic aerosol fingerprinting and discovering potential PM source markers
PBPK modeling to support risk assessment of pyrethroid exposure in French pregnant women
No full textInternational audienceBackgroundPyrethroids are widely used pesticides and are suspected to affect children's neurodevelopment. The characterization of pyrethroid exposure during critical windows of development, such as fetal development and prenatal life, is essential to ensure a better understanding of pyrethroids potential effects within the concept of Developmental Origins of Health and Disease.ObjectiveThe aim of this study was to estimate maternal exposure of French pregnant women from biomonitoring data and simulate maternal and fetal internal concentrations of 3 pyrethroids (permethrin, cypermethrin and deltamethrin) using a multi-substance pregnancy-PBPK (physiologically based pharmacokinetics) model. The estimated maternal exposures were compared to newly proposed toxicological reference values (TRV) children specific also called draft child-specific reference value to assess pyrethroid exposure risk during pregnancy i.e. during the in utero exposure period.MethodsA pregnancy-PBPK model was developed based on an existing adult pyrethroids model. The maternal exposure to each parent compound of pregnant women of the Elfe (French Longitudinal Study since Childhood) cohort was estimated by reverse dosimetry based on urinary biomonitoring data. To identify permethrin and cypermethrin contribution to their common urinary biomarkers of exposure, an exposure ratio based on biomarkers in hair was tested. Finally, exposure estimates were compared to current and draft child-specific reference values derived from rodent prenatal and postnatal exposure studies.ResultsThe main contributor to maternal pyrethroid diet intake is cis-permethrin. In blood, total internal concentrations main contributor is deltamethrin. In brain, the major contributors to internal pyrethroid exposure are deltamethrin for fetuses and cis-permethrin for mothers. Risk is identified only for permethrin when referring to the draft child-specific reference value. 2.5% of the population exceeded permethrin draft child-specific reference value.ConclusionsA new reverse dosimetry approach using PBPK model combined with human biomonitoring data in urine and hair was proposed to estimate Elfe pregnant population exposure to a pyrethroids mixture with common metabolites
Multi-year high-time resolution datasets of fine PM at 13 sites of the French Operational Network (CARA program): Chemical composition and organic aerosol sources
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Aerosol, Clouds and Trace Gases Research Infrastructure – ACTRIS, the European research infrastructure supporting atmospheric science
No full textInternational audienceThe Aerosol, Clouds and Trace Gases Research Infrastructure (ACTRIS) officially became the 33 rd European Research Infrastructure Consortium (ERIC) on April 25, 2023 with the support of 17 founding member and observer countries. As a pan-European legal organization, ACTRIS ERIC will coordinate the provision of data and data products on short-lived atmospheric constituents and clouds relevant to climate and air pollution over the next 15-20 years. ACTRIS was designed more than a decade ago, and its development was funded at national and European levels. It was included in the European Strategy Forum on Research Infrastructures (ESFRI) Roadmap in 2016 and subsequently, in the national infrastructure roadmaps of European countries. It became a landmark of the ESFRI roadmap in 2021. The purpose of this paper is to describe the mission of ACTRIS, its added value to the community of atmospheric scientists, providing services to academia as well as the public and private sectors, and to summarize its main achievements. The present publication serves as a reference document for ACTRIS, its users and the scientific community as a whole. It provides the reader with relevant information and an overview on ACTRIS governance and services, as well as a summary of the main scientific achievements of the last 20 years. The paper concludes with an outlook on the upcoming challenges for ACTRIS and the strategy for its future evolution
Exploring the dynamics of passive isolation flap valves in dust explosion mitigation: a model-based approach and its implications
No full textInternational audiencePassive isolation flap valves are relatively simple devices widely used in the process industries. However, as with any explosion mitigation technique, they work only within well-defined conditions, and the underlying physics makes any prediction difficult. The current paper presents new methods and findings, which rely on experiments on passive flap valves tested on 0.7 to 10 m3 vessels with 100 to 800 mm pipes. This study considers the simple configuration of a flap valve connected to a vented vessel-straight duct arrangement. The explosion in the vessel triggers the closure of the initially opened flap valve and should be effective within a short delay to prevent the flame from passing. The explosion in the vessel drives both the fluid flow in the pipes and the flap valve closing duration. The sudden closing of the pipe induces a complex fluid flow, including significant pressure and velocity fluctuations around the flap valve and a backflow towards the vessel. The commonly used empirical laws, such as those displayed in the EN standards on dust explosions, do not account for these fluid-structure interactions. A hybrid code has been developed to describe the fluid flow throughout the assembly. This code combines an integral model for the vessel and flap explosions, a 1D Eulerian method relying on a MacCormack scheme for the pipes, and a damped pendulum model for the flap solved using an RK4 scheme. The model results compare satisfyingly well with experimental results. The discussion focuses on analysing the problem's physics, from which design engineering rules are derived
Autonomous nervous system responses to environmental‐level exposure to 5G's first deployed band (3.5 GHz) in healthy human volunteers
No full textInternational audienceFollowing the global progressive deployment of 5G networks, considerable attention has focused on assessing their potential impact on human health. This study aims to investigate autonomous nervous system changes by exploring skin temperature and electrodermal activity (EDA) among 44 healthy young individuals of both sexes during and after exposure to 3.5 GHz antenna‐emitted signals, with an electrical field intensity ranging from 1 to 2 V/m. The study employed a randomized, cross‐over design with triple‐blinding, encompassing both ‘real’ and ‘sham’ exposure sessions, separated by a maximum interval of 1 week. Each session comprised baseline, exposure and postexposure phases, resulting in the acquisition of seven runs. Each run initiated with a 150 s segment of EDA recordings stimulated by 10 repeated beeps. Subsequently, the collected data underwent continuous decomposition analysis, generating specific indicators assessed alongside standard metrics such as trough‐to‐peak measurements, global skin conductance and maximum positive peak deflection. Additionally, non‐invasive, real‐time skin temperature measurements were conducted to evaluate specific anatomical points (hand, head and neck). The study suggests that exposure to 3.5 GHz signals may potentially affect head and neck temperature, indicating a slight increase in this parameter. Furthermore, there was a minimal modulation of certain electrodermal metrics after the exposure, suggesting a potentially faster physiological response to auditory stimulation. However, while the results are significant, they remain within the normal physiological range and could be a consequence of an uncontrolled variable. Given the preliminary nature of this pilot study, further research is needed to confirm the effects of 5G exposure
Prenatal exposure to chlorpyrifos of French children from the Elfe cohort
No full textInternational audienceBackground: The organophosphate pesticide chlorpyrifos was widely used in the European Union before its ban in 2020 and was associated with neurodevelopmental disorders. However, within the concept of Developmental Origins of Health and Disease, in utero exposure to chlorpyrifos can lead to neurodevelopmental effects in developing children.Objective: The aim of this study was to estimate fetal exposure to chlorpyrifos using biomonitoring data measured in Elfe pregnant women and a physiologically based pharmacokinetic (PBPK) approach and compare exposure to toxicological reference values.Methods: A pregnancy-PBPK model was developed based on an existing adult chlorpyrifos model and a new toxicological reference value was proposed for neurodevelopmental effects. The pregnant women exposure was estimated based on dialkylphosphate (DAP) levels in urine assuming constant exposure to chlorpyrifos and compared to both the existing toxicological reference value and the new proposed draft toxicological reference value. Fetal internal concentrations in target tissues were then predicted using the developed pregnancy-PBPK model. Urinary concentrations of the chlorpyrifos-specific metabolite (TCPy) were also predicted for comparison with other biomonitoring data.Results: The median daily exposure to chlorpyrifos for the French pregnant women from the Elfe cohort was estimated at 6.3x10-4 μg/kg body weight/day. The predicted urinary excretion of TCPy, the chlorpyrifos-specific metabolite, is in the same range as observed in other European cohorts (mean: 2.13 μg/L). Predicted brain chlorpyrifos levels were similar in pregnant women and their fetus and were 10-fold higher than the predicted blood chlorpyrifos levels. It was estimated that 6% and 20% of the pregnant women population had been exposed to levels exceeding the general population and draft toxicological reference values, respectively.Conclusions: Prenatal exposure to chlorpyrifos was estimated for the French population based on data from the Elfe cohort. Internal chlorpyrifos concentrations in target tissues (brain and blood) were predicted for fetuses at the end of the pregnancy. Under a conservative assumption, a small percentage of the population was identified as being exposed to levels exceeding the toxicological reference values
Trajectories of long-term exposure to PCB153 and Benzo[a]pyrene (BaP) air pollution and risk of breast cancer
No full textInternational audienceBackgroundWhile genetic, hormonal, and lifestyle factors partially elucidate the incidence of breast cancer, emerging research has underscored the potential contribution of air pollution. Polychlorinated biphenyls (PCBs) and benzo[a]pyrene (BaP) are of particular concern due to endocrine-disrupting properties and their carcinogenetic effect.ObjectiveTo identify distinct long term trajectories of exposure to PCB153 and BaP, and estimate their associations with breast cancer risk.MethodsWe used data from the XENAIR case-control study, nested within the ongoing prospective French E3N cohort which enrolled 98,995 women aged 40-65 years in 1990-1991. Cases were incident cases of primary invasive breast cancer diagnosed from cohort entry to 2011. Controls were randomly selected by incidence density sampling, and individually matched to cases on delay since cohort entry, and date, age, department of residence, and menopausal status at cohort entry. Annual mean outdoor PCB153 and BaP concentrations at residential addresses from 1990 to 2011 were estimated using the CHIMERE chemistry-transport model. Latent class mixed models were used to identify profiles of exposure trajectories from cohort entry to the index date, and conditional logistic regression to estimate their association with the odds of breast cancer.Results5058 cases and 5059 controls contributed to the analysis. Five profiles of trajectories of PCB153 exposure were identified. The class with the highest PCB153 concentrations had a 69% increased odds of breast cancer compared to the class with the lowest concentrations (95% CI 1.08, 2.64), after adjustment for education and matching factors. The association between identified BaP trajectories and breast cancer was weaker and suffered from large CI.ConclusionsOur results support an association between long term exposure to PCB153 and the risk of breast cancer, and encourage further studies to account for lifetime exposure to persistent organic pollutants
Delayed Growth in Immature Male Rats Exposed to 900 MHz Radiofrequency
No full textInternational audiencePeople have been exposed to the 900 MHz mobile phone electromagnetic field for approximately 30 years. There is still no conclusion from immature rodent experiments regarding the potential effects of nonthermal radiofrequency (RF) 900 MHz continuous wave exposure during biological development. Here, we test the hypothesis that mother rats exposed at a whole-body specific absorption rate (wbSAR) occupational (Oc) limit of the International Commission on Non-Ionizing Radiation Protection for humans (0.4 W/kg) will show impairments in development, with less effect at the public (Pu) limit (0.08 W/kg). The wbSAR was estimated at 0.4 W/kg to mimic working mothers (OcM exposure) and 0.08 W/kg for non-working mothers, i.e., public (PuM exposure). This pre- and postnatal study is the first to compare public and occupational exposure limits on rat pup physical development. Litter endpoints and the descendants’ body weights and lengths were recorded regularly from birth concomitantly with the age of developmental landmarks. Male neonates showed earlier pinna ear detachment and earlier eye opening in both the OcM and PuM groups, but earlier incisor eruption only in the PuM group. The OcM-exposed males showed lower body weight as juveniles until adolescence. The OcM- and PuM-exposed descendant females showed earlier pinna ear detachment and eye opening with similar body weight. These data suggest variations in the development time of descendant rats when the mother rats received daily 900 MHz continuous waves at human limits for workers and non-workers (public)
Exposure to air pollutants and breast cancer risk: mediating effects of metabolic health biomarkers in a nested case–control study within the E3N-Generations cohort
No full textInternational audienceBackground : Growing epidemiological evidence suggests an association between exposure to air pollutants and breast cancer. Yet, the underlying mechanisms remain poorly understood. This study explored the mediating role of thirteen metabolic health biomarkers in the relationship between exposure to three air pollutants, i.e. nitrogen dioxide (NO2), polychlorinated biphenyls 153 (PCB153), and benzo[a]pyrene (BaP), and breast cancer risk.Methods : We used data from a nested case–control study within the French national prospective E3N-Generations cohort, involving 523 breast cancer cases and 523 matched controls. The four-way decomposition mediation of total effects for thirteen biomarkers was applied to estimate interaction and mediation effects (controlled direct, reference interaction, mediated interaction, and pure indirect effects).Results : The analyses indicated a significant increase in breast cancer risk associated with BaP exposure (odds ratio (OR)Q4 vs Q1 = 2.32, 95% confidence intervals (CI): 1.00–5.37). PCB153 exposure showed a positive association only in the third quartile (ORQ3 vs Q1 = 2.25, CI 1.13–4.57), but it appeared to be non-significant in the highest quartile (ORQ4 vs Q1 = 2.07, CI 0.93–4.61). No association was observed between NO2 exposure and breast cancer risk. Estradiol was associated with an increased risk of breast cancer (OR per one standard deviation (SD) increment = 1.22, CI 1.05–1.42), while thyroid-stimulating hormone was inversely related to breast cancer risk (OR per 1SD increase = 0.87, CI 0.75–1.00). We observed a suggestive mediated effect of the association between the three pollutants and breast cancer risk, through albumin, high-density lipoproteins cholesterol, low-density lipoprotein cholesterol, parathormone, and estradiol.Conclusion : Although limited by a lack of statistical power, this study provides relevant insights into the potential mediating role of certain biomarkers in the association between air pollutant exposure and breast cancer risk, highlighting the need for further in-depth studies in large populations