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Are Ingredients of Personal Care Products Likely to Undergo Long Range Transport to Remote Regions?

D'Amico, Marianna; Frank, Wania; Breivik, Knut; Gambaro, Andrea; Vecchiato, Marco

2023

Rapid identification of in vitro cell toxicity using an electrochemical membrane screening platform

Kohl, Yvonne; William, Nicola; Elje, Elisabeth; Backes, Nadine; Rothbauer, Mario; Srancikova, Annamaria; Rundén-Pran, Elise; Yamani, Naouale El; Korenstein, Rafi; Madi, Lea; Barbul, Alexander; Kozics, Katarina; Sramkova, Monika; Steenson, Karen; Gabelova, Alena; Ertl, Peter; Dusinska, Maria; Nelson, Andrew

This study compares the performance and output of an electrochemical phospholipid membrane platform against respective in vitro cell-based toxicity testing methods using three toxicants of different biological action (chlorpromazine (CPZ), colchicine (COL) and methyl methanesulphonate (MMS)). Human cell lines from seven different tissues (lung, liver, kidney, placenta, intestine, immune system) were used to validate this physicochemical testing system. For the cell-based systems, the effective concentration at 50 % cell death (EC50) values are calculated. For the membrane sensor, a limit of detection (LoD) value was extracted as a quantitative parameter describing the minimum concentration of toxicant which significantly affects the structure of the phospholipid sensor membrane layer. LoD values were found to align well with the EC50 values when acute cell viability was used as an end-point and showed a similar toxicity ranking of the tested toxicants. Using the colony forming efficiency (CFE) or DNA damage as end-point, a different order of toxicity ranking was observed. The results of this study showed that the electrochemical membrane sensor generates a parameter relating to biomembrane damage, which is the predominant factor in decreasing cell viability when in vitro models are acutely exposed to toxicants. These results lead the way to using electrochemical membrane-based sensors for rapid relevant preliminary toxicity screens.

2023

A history about Lagrangian modelling - transport of hazardous substances through the atmosphere

Eckhardt, Sabine; Sigl, Michael; Pisso, Ignacio; Evangeliou, Nikolaos; Stebel, Kerstin

2023

Low-cost sensors and Machine Learning aid in identifying environmental factors affecting particulate matter emitted by household heating

Hassani, Amirhossein; Bykuć, Sebastian; Schneider, Philipp; Zawadzki, Paweł; Chaja, Patryk; Castell, Nuria

Poland continues to rely heavily on coal and fossil fuels for household heating, despite efforts to reduce Particulate Matter (PM) levels. The availability of reliable air quality data is essential for policymakers, environmentalists, and citizens to advocate for cleaner energy sources. However, Polish air quality monitoring is challenging due to the limited coverage of reference stations and outdated equipment. Here, we report the results of a study on the spatio-temporal variability of Particulate Matter in Legionowo, Poland, using residents’ network of low-cost sensors. Along with identifying the hotspots of household-emitted PM, (1) we propose a data quality assurance scheme for PM sensors, (2) suggest an approach for estimating the Relative Humidity-induced uncertainty in the sensors without co-location with reference instruments, and (3) develop an interpretable Machine Learning (ML) model, a Generalized Additive Model (RMSE = 6.16 μg m−3, and R2 = 0.88), for unveiling the underlying relations between PM2.5 levels and other environmental parameters. The results in Legionowo suggest that as air temperature and wind speed increase by 1 °C and 1 km h−1, PM2.5 would respectively decrease by 0.26 μg m−3 and 0.14 μg m−3 while PM2.5 increases by 0.03 μg m−3 as RH increases by 1%.

2023

Biological Uptake of Organic Contaminants from Car Tire Particles

Halsband, Claudia; Hägg, Fanny; Galtung, Kristin; Herzke, Dorte; Booth, Andrew Michael; Nikiforov, Vladimir

2023

Moisture Transport into the Arctic in a past and future climate

Eckhardt, Sabine; Svendby, Tove Marit; Cassiani, Massimo; Oliviè, Dirk Jan Leo

2023

Mapping and Visualizing Air Quality

Hassani, Amirhossein; Schneider, Philipp

2023

Atmospheric Microplastic in the Arctic and the Norwegian mainland

Herzke, Dorte; Evangeliou, Nikolaos; Bjørnsen, Astrid E.; Eckhardt, Sabine

2023

Impact of Aerosol Optical Properties, Precipitable Water, and Solar Geometry on Sky Radiances Using Radiative Transfer Modeling

Giannaklis, Christos-Panagiotis; Logothetis, Stavros-Andreas; Salamalikis, Vasileios; Tzoumanikas, Panagiotis; Kazantzidis, Andreas

Radiative transfer modeling is used to investigate the effect of aerosol optical properties and water vapor on cloud-free sky radiances at various atmospheric conditions. Simulations are generated by changing the most critical aerosol optical properties, namely aerosol optical depth, Ångström exponent, the single-scattering albedo, the precipitable water, and the solar zenith angle (SZA) in three different spectral ranges: ultraviolet A, visible, and near-infrared.

2023

Does contaminant exposure disrupt maternal hormones deposition? A study on per- and polyfluoroalkyl substances in an Arctic seabird

Jouanneau, William; Léandri-Breton, Don-Jean; Herzke, Dorte; Moe, Børge; Nikiforov, Vladimir; Pallud, Marie; Parenteau, Charline; Gabrielsen, Geir Wing; Chastel, Olivier

Maternal effects are thought to be essential tools for females to modulate offspring development. The selective deposition of avian maternal hormones could therefore allow females to strategically adjust the phenotype of their offspring to the environmental situation encountered. However, at the time of egg formation, several contaminants are also transferred to the egg, including per- and polyfluoroalkyl substances (PFAS) which are ubiquitous organic contaminants with endocrine disrupting properties. It is, however, unknown if they can disrupt maternal hormone deposition. In this study we explored relationships between female PFAS burden and maternal deposition in the eggs of steroids (dihydrotestosterone, androstenedione and testosterone), glucocorticoids (corticosterone) and thyroid hormones (triiodothyronine and thyroxine) in a population of the Arctic-breeding black-legged kittiwake (Rissa tridactyla). Egg yolk hormone levels were unrelated to female hormone plasma levels. Second-laid eggs had significantly lower concentrations of androstenedione than first-laid eggs. Triiodothyronine yolk levels were decreasing with increasing egg mass but increasing with increasing females' body condition. Testosterone was the only transferred yolk hormone correlated to maternal PFAS burden: specifically, we found a positive correlation between testosterone in yolks and circulating maternal perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDcA) and perfluoroundecanoic acid (PFUnA) in first-laid eggs. This correlative study provides a first insight into the potential of some long-chain perfluoroalkyl acids to disrupt maternal hormones deposition in eggs and raises the question about the consequences of increased testosterone deposition on the developing embryo.

2023

SDGs at the halfway point: How the 17 global goals address risks and wicked problems

Pedersen, Anders Branth; Hickmann, Thomas; Renn, Ortwin; Eckert, Nicolas; Jax, Kurt; Lepenies, Robert; Liu, Hai Ying; Lyytimäki, Jari; Reis, Stefan; Rusch, Graciela

2023

Polybrominated diphenyl ethers in type 2 diabetes mellitus cases and controls: Repeated measurements prior to and after diagnosis

Charles, Dolley; Berg, Vivian; Nøst, Therese Haugdahl; Wilsgaard, Tom; Bergdahl, Ingvar A.; Huber, Sandra; Ayotte, Pierre; Averina, Maria; Sandanger, Torkjel M; Rylander, Karin Charlotta Maria

Background Previous studies have reported associations between certain persistent organic pollutants (POPs) and type 2 diabetes mellitus (T2DM). Polybrominated diphenyl ethers (PBDEs) are a class of POPs that are found in increasing concentrations in humans. Although obesity is a known risk factor for T2DM and PBDEs are fat-soluble, very few studies have investigated associations between PBDEs and T2DM. No longitudinal studies have assessed associations between repeated measurements of PBDE and T2DM in the same individuals and compared time trends of PBDEs in T2DM cases and controls. Objectives To investigate associations between pre- and post-diagnostic measurements of PBDEs and T2DM and to compare time trends of PBDEs in T2DM cases and controls. Methods Questionnaire data and serum samples from participants in the Tromsø Study were used to conduct a longitudinal nested case-control study among 116 T2DM cases and 139 controls. All included study participants had three pre-diagnostic blood samples (collected before T2DM diagnosis in cases), and up to two post-diagnostic samples after T2DM diagnosis. We used logistic regression models to investigate pre- and post-diagnostic associations between PBDEs and T2DM, and linear mixed-effect models to assess time trends of PBDEs in T2DM cases and controls. Results We observed no substantial pre- or post-diagnostic associations between any of the PBDEs and T2DM, except for BDE-154 at one of the post-diagnostic time-points (OR = 1.65, 95% CI: 1.00, 2.71). The overall time trends of PBDE concentrations were similar for cases and controls. Discussion The study did not support PBDEs increasing the odds of T2DM, prior to or after T2DM diagnosis. T2DM status did not influence the time trends of PBDE concentrations.

2023

Long-range atmospheric transport of currently-used pesticides over Europe

Mayer, Ludovic; Senk, Petr; Pribylova, Petra; Kukučka, Petr; Durand, Amadine; Ravier, Sylvain; Alastuey, Andres; Baker, Alex R.; Baltensperger, Urs; Baumann-Stanzer, Kathrin; Biermann, Tobias; Bohlin-Nizzetto, Pernilla; Ceburnis, Darius; Conil, Sébastien; Couret, Cedric; Degorska, Anna; Diapouli, Evangelia; Eckhardt, Sabine; Eleftheriadis, Konstantinos; Forster, Grant L.; Freier, Korbinian; Gheusi, Francois; Gini, Maria; Hellén, Heidi; Henne, Stephan; Herrmann, Hartmut; Horrak, Urmas; Smejkalova, Adeala Holubova; Hueglin, Christoph; Junninen, Heikki; Kristensson, Adam; Langrene, Laurent; Levula, Janne; Lien, Olav; Lothon, Marie; Ludewig, Elke; Lyngra, Reidar; Makkonen, Ulla; Markussen, Helge Tore; Matejovičová, Jana; Mihalopoulos, Nikos; Mináriková, Veronika; Moche, Wolfgang; Noe, Steffen M.; Pérez, Noemi; Petäjä, Tuukka; Pont, Veronique; Poulain, Laurent; Quivet, Etienne; Ratz, Gabriela; Rehm, Till; Reimann, Stefan; Simmons, Ivan; Sonke, Jeroen E.; Sorribas, Mar; Spoor, Ronald; Swart, Daan P.J.; Vassilatou, Vassiliki; Wortham, Henri; Yela, Margarita; Zarmpas, Pavlos; Zellweger, Claudia; Tørseth, Kjetil; Laj, Paolo G.; Klanova, Jana; Lammel, Gerhard; Degrendele, Celine

2023

Rapid decline of carbon monoxide emissions in the Fenwei Plain in China during the three-year Action Plan on defending the blue sky

Jia, Mengwei; Jiang, Fei; Evangeliou, Nikolaos; Eckhardt, Sabine; Huang, Xin; Ding, Aijun; Stohl, Andreas

2023

Probing internal gravity waves in the middle atmosphere using infrasound from explosions

Vorobeva, Ekaterina; Assink, Jelle D.; Belova, Evgenia; Latteck, Ralph; Espy, Patrick Joseph; Baumgarten, Gerd; Strelnikova, Irina; Orsolini, Yvan Joseph Georges Emile G.; Näsholm, Sven Peter

2023

Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model

Krogseth, Ingjerd Sunde; Breivik, Knut; Frantzen, Sylvia; Nilsen, Bente Merete; Eckhardt, Sabine; Nøst, Therese Haugdahl; Wania, Frank

There is concern over possible effects on ecosystems and humans from exposure to persistent organic pollutants (POPs) and chemicals with similar properties. The main objective of this study was to develop, evaluate, and apply the Nested Exposure Model (NEM) designed to simulate the link between global emissions and resulting ecosystem exposure while accounting for variation in time and space. NEM, using environmental and biological data, global emissions, and physicochemical properties as input, was used to estimate PCB-153 concentrations in seawater and biota of the Norwegian marine environment from 1930 to 2020. These concentrations were compared to measured concentrations in (i) seawater, (ii) an Arctic marine food web comprising zooplankton, fish and marine mammals, and (iii) Atlantic herring (Clupea harengus) and Atlantic cod (Gadus morhua) from large baseline studies and monitoring programs. NEM reproduced PCB-153 concentrations in seawater, the Arctic food web, and Norwegian fish within a factor of 0.1–31, 0.14–3.1, and 0.09–21, respectively. The model also successfully reproduced measured trophic magnification factors for PCB-153 at Svalbard as well as geographical variations in PCB-153 burden in Atlantic cod between the Skagerrak, North Sea, Norwegian Sea, and Barents Sea, but estimated a steeper decline in PCB-153 concentration in herring and cod during the last decades than observed. Using the evaluated model with various emission scenarios showed the important contribution of European and global primary emissions for the PCB-153 load in fish from Norwegian marine offshore areas.

2023

Leveraging opportunity of low carbon transition by super-emitter cities in China

Zheng, Heran; Zhang, Zengkai; Dietzenbacher, Erik; Zhou, Ya; Többen, Johannes Reinhard; Feng, Kuishuang; Moran, Daniel; Jiang, Meng; Shan, Yuli; Wang, Daoping; Liu, Xiaoyu; Li, Li; Zhao, Dandan; Meng, Jing; Ou, Jiamin; Guan, Dabo

Chinese cities are core in the national carbon mitigation and largely affect global decarbonisation initiatives, yet disparities between cities challenge country-wide progress. Low-carbon transition should preferably lead to a convergence of both equity and mitigation targets among cities. Inter-city supply chains that link the production and consumption of cities are a factor in shaping inequality and mitigation but less considered aggregately. Here, we modelled supply chains of 309 Chinese cities for 2012 to quantify carbon footprint inequality, as well as explored a leverage opportunity to achieve an inclusive low-carbon transition. We revealed significant carbon inequalities: the 10 richest cities in China have per capita carbon footprints comparable to the US level, while half of the Chinese cities sit below the global average. Inter-city supply chains in China, which are associated with 80% of carbon emissions, imply substantial carbon leakage risks and also contribute to socioeconomic disparities. However, the significant carbon inequality implies a leveraging opportunity that substantial mitigation can be achieved by 32 super-emitting cities. If the super-emitting cities adopt their differentiated mitigation pathway based on affluence, industrial structure, and role of supply chains, up to 1.4 Gt carbon quota can be created, raising 30% of the projected carbon quota to carbon peak. The additional carbon quota allows the average living standard of the other 60% of Chinese people to reach an upper-middle-income level, highlighting collaborative mechanism at the city level has a great potential to lead to a convergence of both equity and mitigation targets.

2023

Potential sources and transport of atmospheric microplastics in the Northern Atlantic Ocean

Evangeliou, Nikolaos; Gossmann, Isabel; Herzke, Dorte; Held, Andreas; Schulz, Janina; Nikiforov, Vladimir; Eckhardt, Sabine; Gerdts, Gunnar; Wurl, Oliver; Scholz-Böttcher, Barbara

2023

Atmospheric Microplastic in the Arctic and the Norwegian mainland

Herzke, Dorte; Evangeliou, Nikolaos; Bjørnsen, Astrid E.; Eckhardt, Sabine

2023

The Impact of Recent European Droughts and Heatwaves on Trace Gas Surface Fluxes: Insights from Land Surface Data Assimilation

Hamer, Paul David; Trimmel, Heidelinde; Calvet, Jean-Christophe; Bonan, Bertrand; Meurey, Catherine; Vallejo, Islen; Eckhardt, Sabine; Santos, Gabriela Sousa; Marécal, Virginie; Tarrasón, Leonor

2023

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