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Found 10360 publications. Showing page 4 of 415:

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Towards safe plastic recycling: A novel framework for identifying chemicals of concern in plastic waste

Abbasi, Golnoush; Hernandez, Miguel Las Heras; Hauser, Marina Jennifer; Bourgé, Émilien; Harju, Mikael; Nikiforov, Vladimir

Circular Economy (CE) principles seek to eliminate hazardous substances and promote the reuse and recycling of plastic products. However, implementing these principles is challenging due to the wide variety of substances used in plastics, their potential health and environmental risks, the complexities of global supply chains, and concerns regarding reappearance of Chemicals of concern (CoCs) in post-recycled plastics (PRP). This study presents a novel approach for identifying CoCs in the waste stream by assessing the potential presence of chemicals in polymers across different industrial sectors and their hazard categories. With the objective of identifying CoCs that are most problematic regarding their reappearance in new products, selected CoCs are classified into four priority groups based on their physicochemical properties and molecular structures, for further risk and regulatory assessment. The first group includes 88 CoCs, that must be avoided in a circular economy, of which 70% are metalloids and 30% are organic additives. The second group comprises 167 CoCs, mainly additives, whose risks depend heavily on their concentration and specific use in products. The third and fourth groups consist of CoCs that are less frequently found in plastic waste and thus associated with relatively lower risks. Overall, this study offers a practical and adaptable tool to support the identification of hazardous substances in plastic waste, helping stakeholders make informed decisions by removing CoCs and promoting the development of safer alternatives for substitutions.

2026

Characterizing aerosol sources based on aerosol optical properties and dispersion modelling in a Scandinavian Coastal Area (Aarhus, Denmark)

Teng, Zihui; Skønager, Jane Tygesen; Massling, Andreas; Skov, Henrik; Evangeliou, Nikolaos; Eckhardt, Sabine; Bilde, Merete; Rosati, Bernadette

Coastal aerosols are formed through the complex mixing between marine air masses and continental emissions, which originate from both natural and anthropogenic sources. The properties of coastal aerosols are decisive for their interaction with sunlight and their influence on clouds, as well as the potential health implications for the population in these areas. In this study, the aerosol properties and sources at Aarhus Bay, Denmark, were investigated by combining in situ aerosol light scattering and absorption with size distribution measurements and footprint analysis by FLEXPART. Our analysis demonstrates a considerable contribution of anthropogenic aerosols from both fossil fuel combustion and biomass burning, as well as periods with highly scattering aerosols. Furthermore, good agreement was found between in situ and modelled black-carbon data. Combining in situ measurements and FLEXPART analysis further evidenced a major impact of local emissions, as well as a few long-range transport intrusions.

2026

Exceptional wildfire smoke over Greece in summer 2023: a synergistic study of aerosol optical-microphysical and UVB radiative impacts

Gidarakou, Marilena; Papayannis, Alexandros; Mylonaki, Maria; Kralli, Eleni; Eleftheratos, Kostas; Fountoulakis, Ilias; Zografou, Olga; Diapouli, Evangelia; Gini, Maria I.; Vratolis, Stergios; Granakis, Konstantinos; Eleftheriadis, Konstantinos; Evangeliou, Nikolaos; Zwaaftink, Christine Groot; Giagka, Eugenia; Zagklis, Marios-Andreas; Veselovskii, Igor

During summer 2023, Greece experienced one of its most severe wildfire seasons in recent decades, with widespread fires across Evros, Rodopi, Attica, the Peloponnese, and several islands. This study investigates the aerosol optical and microphysical properties, as well as the impact on ground-level ultraviolet-B (UVB) radiation over Athens, focusing on two major wildfire episodes (18–21 July and 22–25 August). A synergistic approach was deployed, combining satellite imagery (MODIS), FLEXPART simulations, ground-based remoter sensing, in situ aerosol and radiation measurements. Elevated aerosol optical depths (AOD) up to 1.2, high fine-mode fractions (FMF) (> 0.85), and Ångström exponents (AE) above 1.5 indicated a strong dominance of fine biomass burning aerosols. The Single scattering albedo (SSA) ranged from 0.85 to 0.98, showing enhanced absorption during biomass burning periods and weaker absorption when smoke was mixed with dust. At 320 nm, dust presence resulted in stronger absorption, with SSA below 0.8 for pure dust cases compared to smoke mixtures. Particle linear depolarization ratios (PLDR), varied between 0.03 and 0.20, with higher values (∼ 0.10–0.20) reflecting the presence of non-spherical dust particles, and lower values (∼ 0.03–0.08) indicating spherical smoke particles. Ground-level UVB irradiance decreased by up to 50 % during peak smoke episodes, highlighting strong aerosol radiative impacts. Concurrently, PM10 and PM2.5 concentrations increased to 94 and 49 µg m−3, respectively, while organic aerosols peaked at 22.77 µg m−3, consistent with intense fire activity. FLEXPART simulations confirmed long-range transport of smoke from active fire regions, with additional contributions from regional pollution and Saharan dust.

2026

Improving Detection of Chemicals of Emerging Concern: Evaluation of Analytical Workflows and PikMe Prioritization in Wastewater and Indoor Dust

Rostkowski, Pawel; Gundersen, Cathrine Brecke; Froment, Jean Francois; Nikiforov, Vladimir; Reid, Malcolm James; Wennberg, Aina Charlotte

Suspect screening helps detect chemicals in environmental samples without predefined target lists which can facilitate isolation of a larger number of substances. This study shows however that no single extraction method or analytical platform (LC-HRMS or GC-HRMS) can capture all relevant pollutants—at least half are missed. The technique works best for chemically similar families, where optimized methods can target specific classes or broader families of similar substances (e.g. PFAS). Effective grouping of similar substances is therefore essential. A broad coverage of substances can however be achieved if multiple sample extractions are performed and each extract is analysed on both LC- and GC-HRMS. Strategies where comparisons can be made over time or across locations will also help to isolate pollutant-related signals from the background. Such considerations must be integrated into programme design and budgeting for retrospective analysis. This will maximize likelihood of detection for the largest diversity of substances.
Norwegian Environment Agency, M-3038|2025

NILU

2026

Resultater fra analyse av miljøgifter i antikvariske bygninger

Bohlin-Nizzetto, Pernilla; Lysberg, Ingeborg Antonsen

2026

Blindsonen i forskningspolitikken

Myklebust, Norunn Sæther; Nordlander, Tomas

2026

Toward harmonised monitoring of plastic pollution: description of a systematic review to evaluate and apply reproducible methods

Aliani, Stefano; Lusher, Amy L.; Suaria, Giuseppe; Primpke, Sebastian; Roscher, Lisa; Witte, Bavo De; Vanavermaete, David; Verlé, Katrien; Nikiforov, Vladimir; Herzke, Dorte; Paluselli, Andrea; Donnarumma, Vincenzo; Strand, Jakob; Silva, Vitor Hugo da; Galgani, Francois; Hairabedian, Gabrielle; Bavel, Bert van

Plastic pollution monitoring programs use a wide array of methods, protocols, and analytical approaches, making it difficult for researchers and practitioners to determine which techniques to apply, where, and how. This lack of harmonisation across environmental compartments and plastic size classes has led to inconsistent data and limited comparability across studies. To address this, a systematic review of monitoring methods from 1960 to 2021 was conducted, encompassing both peer-reviewed and grey literature. Techniques were categorised into Reproducible Analytical Pipelines (RAPs), each comprising six core steps: survey design, sample collection, sample preparation, analytical detection, quantification, and data reporting. Each RAP was assessed using Technological Readiness Levels (TRLs) to evaluate maturity and suitability for standardised monitoring. The review revealed that while robust and repeatable methods exist, they are inconsistently applied. At the time of this review, atmospheric plastics was underrepresented, highlighting a critical gap in monitoring efforts. The findings underscore the urgent need for a global, objective framework to guide the selection and implementation of plastic pollution monitoring methodologies. This paper lays the foundation for such a framework by presenting a methodology to identify mature, reproducible methods and prioritise areas for further development. Future work should focus on harmonising protocols across compartments and size classes, improving transparency in data reporting, and building consensus around standardised practices to enable global comparability and policy relevance.

2026

Growth in Production and Environmental Deposition of Trifluoroacetic Acid Due To Long-Lived CFC Replacements and Anesthetics

Hart, Lucy; Hossaini, Ryan; Wild, Oliver; Mazzeo, Andrea; Halsall, Crispin; Hou, Xuewei; Wang, Zihao; Chipperfield, Martyn P.; Arduini, Jgor; Krummel, Paul B.; Lunder, Chris Rene; Mühle, Jens; O’Doherty, Simon; Park, Sunyoung; Reimann, Stefan; Stanley, Kieran M.; Weiss, Ray F.; Young, Dickon

Abstract Trifluoroacetic acid (TFA) is a persistent pollutant with potential long‐term effects on the environment and on health. Recent studies using ice core records report large increases (up to tenfold) in Arctic TFA deposition since the 1970s, and trends suggest long‐lived chlorofluorocarbon (CFC) replacements may be a major source. Here, we use a chemical transport model to examine the global TFA budget arising from CFC replacements–hydrochlorofluorocarbons (HCFCs), hydrofluorocarbons (HFCs)–and inhalation anesthetics. Global TFA deposition from these sources increased ∼3.5‐fold from 6.8 (5.9–7.6) Gg/yr in 2000 to 21.8 (18.6–25.0) Gg/yr in 2022, with cumulative deposition reaching 335.5 Gg. We find HCFC‐123, HCFC‐124, and HFC‐134a account for most modeled TFA production and that long‐lived CFC replacements account for virtually all of the observed Arctic deposition trend. At lower latitudes, our analysis supports the recent emergence of hydrofluoroolefins (HFOs) as a TFA source. We conclude that increased TFA monitoring is required.

2026

Integrating Technical, Nature-Based, and Social Solutions: A Stakeholder-driven Approach to Climate Adaptation-Mitigation Synergies

Dookie, Denyse S.; Dallo, Federico; Liu, Hai-Ying; Wezenberg, Sebastiaan; Jacobs, Piet; Khoury, Eliane; Marcheggiani, Stefania; Beaumet, Julien; Leone, Mattia; Cao, Tuan-Vu

As climate change impacts intensify across Europe and globally, societies are confronted with increasingly frequent and severe hazards that challenge public health, urban livability, and environmental sustainability. While adaptation measures are urgently needed to cope with current and near-term climate risks, it is becoming increasingly evident that mitigation efforts are essential to ensure a resilient and sustainable future. Too often, however, adaptation and mitigation strategies are planned and implemented in isolation, within sectoral silos, overlooking their potential interdependencies, synergies, and co-benefits. This contribution draws on the on-going experience and perspectives of the EU-funded healthRiskADAPT project, which addresses climate-related health risks by explicitly linking adaptation and mitigation pathways across multiple hazards.The project adopts a broad and integrated perspective that combines existing technical solutions, nature-based interventions, and engagement strategies, with a strong emphasis on co-benefits for health and well-being in the face of climate hazards namely heatwaves, air pollution including wildfire emission, and pollen. Central to this framework is the use of cost–benefit and co-benefit analyses to support decision-makers in identifying, prioritizing, and implementing measures that maximize societal resilience while delivering climate resilience solutions, considering natural based solutions (e.g., greening) as well as technical solutions (e.g., smart-buildings, do-it-yourself air purifier devices, evaporative cooling, high efficiency filtering). Beyond technical assessments, the healthRiskADAPT project recognizes that increasing resilience requires engagement beyond institutional actors. Social solutions such as education, awareness-raising, and capacity building at the stakeholder level are considered essential components of effective climate strategies. The contribution therefore also explores participatory formats and stakeholder engagement approaches designed to enhance understanding of climate-related health risks and support the co-design of locally relevant policies and interventions.By presenting the project’s methodological pathways, tools, and engagement strategies, this contribution illustrates how integrated adaptation–mitigation planning can be operationalized in practice. It highlights the value of moving beyond sector-specific solutions toward systemic approaches that acknowledge complex interdependencies between climate, environment, health, and society. Ultimately, the contribution aims to demonstrate how such integrated frameworks can support cities and regions in developing more coherent, evidence-based, and socially inclusive climate policies, strengthening resilience in the face of a changing climate.

2026

Årsrapport 2025. Nasjonalt referanselaboratorium for luftkvalitetsmålinger

Marsteen, Leif; Johnsrud, Mona; Hak, Claudia; Tørnkvist, Kjersti Karlsen; Vo, Dam Thanh; Amundsen, Filip

Denne rapporten oppsummerer oppgavene til Nasjonalt referanselaboratorium for luftkvalitetsmålinger (NRL), delkontrakt 1b, for året 2025.

NILU

2026

Kenya gir meg håp og inspi­rasjon

Muri, Helene (interview subject)

2026

Towards a validation of the standard and enzyme-linked comet assay: a retrospective variability analysis

Møller, Peter; Ladeira, Carina; Ziemann, Christina; Knasmueller, Siegfried; Mišík, Miroslav; Louro, Henriqueta; Silva, Maria João; Olsen, Ann-Karin Hardie; Azqueta, Amaya; Langie, Sabine A. S.; Bonassi, Stefano; Dusinska, Maria; Gajski, Goran; Collins, Andrew Richard Sherman

The comet assay is one of the most popular tests for genotoxicity in cell cultures, non-animal species, animals and humans. It has high sensitivity to detect low levels of DNA damage, can be applied to non-proliferating cells, requires relatively few cells, is technically simple, and is low cost. The Organisation for Economic Co-operation and Development (OECD) adopted in 2016 the in vivo comet assay for measurement of DNA strand breaks in animal tissues. There is a desire to expand the comet assay to genotoxicity testing in cell cultures, including the detection of oxidatively damaged DNA by incubation of gel-embedded nucleoids with DNA repair enzymes, especially formamidopyrimidine DNA glycosylase (Fpg) which converts oxidised purines to DNA breaks. Based on available information in the literature, this review provides a retrospective evaluation of the validation status of this assay, focusing on accuracy and reliability in genotoxicity testing in vitro. Information on accuracy is scarce, although limited evidence suggests levels of Fpg-sensitive sites are similar to those obtained by Fpg-linked alkaline unwinding and alkaline elution assays. Several ring studies have shown that estimated background levels of DNA breaks vary within and between laboratories. However, ring studies indicate good intra- and inter-laboratory reproducibility of the standard assay on ionizing radiation-exposed and the Fpg-linked assay on potassium bromate exposed cells. Further studies are needed to assess the reproducibility in multiple laboratories using coded samples of non-genotoxins and genotoxins. Nevertheless, the available results indicate the comet assay is a reliable in vitro genotoxicity test.

2026

Evolution of Near‐Term Atmospheric Methane and Associated Temperature Response Under the Global Methane Pledge: Insights From an Earth System Model

Im, Ulas; Shindell, Drew; Tsigaridis, Kostas; Bauer, Susanne; Olivié, Dirk; Wilson, Simon; Sørensen, Lise Lotte; Langen, Peter L.; Eckhardt, Sabine; Höglund-Isaksson, Lena; Klimont, Zbigniew; Lindl, Florian; Bruhwiler, Lori

Abstract Methane is a powerful greenhouse gas with a shorter lifetime than carbon dioxide (CO 2 ), making it an important target for near‐term climate action. The Global Methane Pledge (GMP) aims to cut anthropogenic methane emissions by 30% from 2020 levels by 2030. Using an Earth system model with interactive CH 4 sources and sinks, we assess the Pledge's impact through 2050. Results show that current GMP commitments deliver only a 10% cut by 2030—well below the target. Only the maximum technically feasible reduction (MTFR) pathway can achieve the 30% goal. By 2050, current GMP commitments lowers methane concentrations by 3% relative to 2025, while MTFR achieves 8%. Both pathways slow warming slightly, avoiding about 0.1°C of global temperature rise, with the Arctic seeing the greatest benefits (up to 2°C less warming). Without wider participation, the GMP with current signatories will fall short of its targets and Paris Agreement goals.

2026

Scaling number concentration measurements from bioaerosol monitors using Hirst-type samplers

Horender, S.; Lieberherr, G.; Crouzy, B.; Marsteen, Leif; Bäcklund, Are; Ramfjord, Hallvard; Ochsenkuehn, M.; Ravani, F.; Kambolis, A.; Vasilatou, K.

The instruments used for routine pollen monitoring are gradually changing from traditional impactors with manual data processing to automated pollen monitors using deterministic and/or machine-learning algorithms for data analysis. This manuscript compares pollen number concentration of Alnus sp., Betula sp., Corylus sp., and Poaceae measured by Hirst-type bioaerosol samplers and the SwisensPoleno automated bioaerosol monitor in Switzerland and Norway. Due to physical particle losses and the classification rate of the algorithms being well below unity, scaling factors had to be applied to the measurements of the SwisensPoleno to match those of the Hirst impactor. These scaling factors depended on the geographic location, i.e. differed significantly between Switzerland and Norway. The importance of adjusting the scaling factors according to the location of the monitoring network and the need for reporting the numerical values of these scaling factors in future scientific publications is emphasized.

2026

Forbedring av klimagassregnskapet for veitrafikk. Casestudie Oslo kommune

Weydahl, Torleif; Grythe, Henrik; Madslien, Anne; Lysø, Tonje; Steinsland, Christian

Arbeidet i denne rapporten omfatter en gjennomgang av tilgjengelige datakilder for å forbedre kjøretøysammensetningen i Oslo spesielt og andre kommuner generelt, med mål om å gi en mer presis beregning av klimagassutslippet med modellen NERVE. Analyser viser at bompasseringsdata kan definere en representativ lokal kjøretøypark, og det er utviklet og implementert metoder for å forbedre kjøretøysammetningen i NERVE i henhold til dette.

NILU

2026

Integrating Low-Cost Sensors with Dispersion Modelling for High-Resolution Insights into Urban Air Quality

O’Regan, Anna C.; Grythe, Henrik; Schneider, Philipp; Nyhan, Marguerite M.

Urban areas experience elevated air pollution levels which pose significant health risks. Reducing exposure to poor air quality and mitigating the associated negative health impacts requires informed policy measures. This study advances urban air quality modelling by developing an air quality model (baseline model) and further integrating measurements from a network of low-cost sensors and regulatory monitors into the model output (data fusion model). The resulting data fusion model provides accurate air quality data in high spatiotemporal resolution. The data fusion model showed higher PM2.5 concentrations during evening hours and winter months, with a population-weighted exposure to PM2.5 almost twice as high as predicted by the baseline model during these months. The models exhibited different spatial patterns, with the data fusion model showing a shift in peak concentrations from the city centre to residential areas, where levels were up to 10 µg/m3 higher than the baseline model. These differences are likely attributable to an underestimation of residential emissions in the baseline model. While both models were FAIRMODE compliant, the data fusion model showed a reduced bias for most monitoring stations compared to the baseline model. The data fusion model enabled a more accurate assessment of existing policies, specifically those aimed at reducing urban air pollution from solid fuel burning. Moreover, by identifying locations and sectors which contribute significantly to high levels of PM2.5, the data fusion model supports the formation of targeted air quality policies. This enables cities to maximise reductions in air pollution and exposures, thereby safeguarding public health.

2026

Maritime sector pathways toward net-zero emissions within global energy scenarios

Kramel, Diogo; Krey, Volker; Fricko, Oliver; Maczek, Florian; Muri, Helene; Strømman, Anders Hammer

Abstract The maritime sector’s transition toward decarbonization cannot occur in isolation, rather it will be tied to broader transformations in energy, economic, and societal systems. Yet, most existing studies often overlook this integrated perspective, focusing primarily on sector-specific strategies without considering broader societal changes and energy availability on a global scale. To address this gap, this study integrates the MariTeam ship emission model into the MESSAGEix-GLOBIOM integrated assessment framework. Through this approach, we assess how climate scenarios may influence the maritime sector’s trajectory toward achieving net-zero emissions by 2050, in line with the International Maritime Organization (IMO) targets. Our findings indicate that action before 2030 is crucial and it can be achieved through combining four key solutions: improvements in energy efficiency, biofuels, liquefied hydrogen, and ammonia. Furthermore, the results suggest that the maritime sector could have access to enough renewables to achieve substantial emissions reductions with increase in final product costs ranging from 2 to 30% (interquartile range) with variations across products and regions. On average, cost increases are estimated at 10.2% for Global North countries and 13.3% for Global South countries. This analysis highlights the urgency and scale of transformation required for the maritime industry to meet the IMO’s net-zero ambitions and align with broader global sustainability goals.

2026

Urban Living Labs as Inter- and Transdisciplinary Arenas for Sustainability Planning Research

Steffansen, Rasmus Nedergård; Lissandrello, Enza; Castell, Nuria; Ekman, Karin; Watne, Ågot K.; Roux, Marta Segura

The transition towards sustainable societies necessitates inter- and transdisciplinary knowledge, particularly in urban planning, where diverse knowledge traditions are crucial for decision-making. Despite this, planning practices often remain entrenched in institutional and legal frameworks that hinder the integration of multiple ways of knowing and undervalue lay knowledge. Researcher-led urban innovation processes are increasingly adopting experimental approaches for the multi-stakeholder co-creation of knowledge, addressing urban challenges through interdisciplinary approaches. This article addresses the interdisciplinary collaboration between researchers in experimental urban planning processes by examining a research project that focused on participatory environmental co-monitoring and planning for urban air quality in Nordic contexts. The study builds a bridge between theories of interdisciplinarity, urban experimentation, and planning theory. By presenting urban living labs (ULLs) as arenas for co-learning that integrate scientific and lay knowledge, the article explores how planning researchers can facilitate mutual learning and navigate the micropolitics of knowledge co-production. We develop the concept of cross-disciplinary unknowns to highlight the dynamics and challenges in research teams with diverse epistemological backgrounds. We argue that an explicit and structured approach for explicating epistemological differences can facilitate the detection of unreflected knowledge retention between disciplines.

2026

Benzotriazole UV stabilisers in ingested plastics and plasma of an Arctic seabird across a 24-year span

Fayet, Marie-Océane; Collard, France; Harju, Mikael; Tulatz, Felix; Gabrielsen, Geir W.

This study investigates the contamination of both ingested plastics and plasma of northern fulmars (Fulmarus glacialis) with benzotriazole UV stabilisers (BUVSs) in Kongsfjorden and Isfjorden, Svalbard. Ingested plastics were collected from fulmars in 1997, 2009, 2013, 2020 and 2021. Additionally, plasma samples were collected specifically in 2020. BUVSs, including UV-320, UV-326, UV-327, UV-328 and UV-329, were detected in both ingested plastics and plasma, suggesting a potential for transfer from plastics to the bloodstream. However, additional studies are required to confirm such a transfer mechanism. BUVSs were detected as early as 1997 in ingested plastics, highlighting the potential long-term exposure of fulmars in Svalbard. UV-326, UV-328 and total BUVS concentrations in ingested plastics increased significantly between 1997 and 2021, but likely due to outliers. In plasma, there was no significant correlation between any of BUVS concentrations and the mass of ingested plastics except for UV-327, although relying on only three values above LOD. This study represents a first step in investigating the multiple exposures of fulmars, and more generally seabirds, to plastic and plastic related chemicals and their potential ecotoxicological risks. More specifically we recommend further studies extracting microplastics from seabirds to perform additional quantification of BUVSs or other additives to provide available datasets and deeper understanding of leaching from plastics and temporal trends.

2026

Silicone-Foam Passive Air Samplers for Combined Target and Nontarget Chemical Profiling and Toxicity Assessment of Airborne Exposomes

Sunyer-Caldú, Adrià; Xie, Hongyu; Bonnefille, Bénilde; Raptopoulou, Foteini; Pesquet, Edouard; Rian, May Britt; Schlesinger, Daniel; Norman, Michael; Jeon, Young June; Kim, Boram; Lee, Seung-Bok; Lee, Ji Eun; Froment, Jean; Papazian, Stefano; Martin, Jonathan W.

Polluted air is a major global health risk factor, yet the chemical composition and toxicity of airborne gases and particles remain underexplored due to their complexity and difficulties in sampling. We recently introduced how polydimethylsiloxane (PDMS) foam─or silicone foam─can be synthesized for passive air sampling, enabling simple and cost-effective nontarget chemical profiling of indoor air. Here, we demonstrate expanded applications, indoors and outdoors, with commercial PDMS-foam, including for: (i) wide-scope target analysis of >220 priority substances by quantitative liquid- and gas chromatography-high-resolution mass spectrometry, (ii) microscopic characterization and nontarget profiling of accumulated fine particles, and (iii) effect-guided discovery of harmful substances, combining toxicological data with nontarget analysis in silico. Median method quantification limits were 0.12 ng/mL, 90% of target analytes had absolute recoveries between 70 and 130%, and hazardous substances were discovered, including ethylene glycols, insecticides, and UV filters. Microscopy revealed the accumulation of abundant fine particles, and the automated characterization of the fluorescent fraction revealed that most were <4 μm. Extracts from outdoor samples reduced human lung cell viability, and multivariate modeling flagged families of potentially toxic substances in a virtual effect-directed analysis. PDMS-foam disks require field calibration to determine their linear sampling rate(s), but current results and applications establish PDMS-foam as a multimodal passive sampler, enabling integrated chemical quantitation, toxicological analysis, and molecular discovery in air.

2026

High-resolution modelling of organic aerosol over Europe: exploring spatial and temporal variability and drivers

Banos, Daniel Trejo; Upadhyay, Abhishek; Cheng, Yun; Jiang, Jianhui; Vasilakos, Petros; Nava, Andrea; Ševera, Pavol; Flueckiger, Benjamin; Bougiatioti, Aikaterini; Verdona, Ana Maria Sanchez De La Campa; Schemmel, Andrea; Alastuey, Andrés; Vasanits, Anikó; Font, Anna; Tobler, Anna; Bourin, Aude; Machon, Attila; Chazeau, Benjamin; Bergmans, Benjamin; Alves, Célia A.; Voiron, Céline; Hueglin, Christoph; Lin, Chunshui; Belis, Claudio A.; Colombi, Cristina; Reche, Cristina; Navarro, Daniel Alejandro Sanchezrodas; Massabò, Dario; Green, David C.; Cuccia, Eleonora; Freney, Evelyn; Giardi, Fabio; Canonaco, Francesco; Uzu, Gaëlle; Chen, Gang I.; Keernik, Hannes; Flentje, Harald; Herrmann, Hartmut; Chebaicheb, Hasna; Timonen, Hilkka; Gon, Hugo Denier van der; Stavroulas, Iasonas; Salma, Imre; Schwarz, Jaroslav; Necki, Jaroslaw; Sciare, Jean; Petit, Jean-Eudes; Jaffrezo, Jean-Luc; Vasilescu, Jeni; Rosa, Jesús D. De La; Pauraite, Julija; Ovadnevaite, Jurgita; Yttri, Karl Espen; Eleftheriadis, Konstantinos; Poulain, Laurent; Belegante, Livio; Alados-Arboledas, Lucas; Manousakas, Manousos-Ioannis; Paglione, Marco; Maasikmets, Marek; Minguillón, María Cruz; Gini, Maria I.; Rinaldi, Matteo; Pikridas, Michael; Aurela, Minna; Marchand, Nicolas; Zografou, Olga; Favez, Olivier; Vodička, Petr; Pokorná, Petra; Lhotka, Radek; Atabakhsh, Samira; Conil, Sébastien; Castillo, Sonia; Gilardoni, Stefania; Platt, Stephen Matthew; Grange, Stuart K.; Poluzzi, Vanes; Kumar, Varun; Riffault, Véronique; Aas, Wenche; Querol, Xavier; Sosedova, Yulia; Probst-Hensch, Nicole; Vienneau, Danielle; Prévôt, André S.H.; Hoogh, Kees de; Daellenbach, Kaspar R.; Krymova, Ekaterina; Haddad, Imad El

Organic aerosol (OA) is a major component of atmospheric particulate matter (PM), affecting both human health and climate. However, high-resolution estimates of OA exposure needed for exposure analysis remain scarce. Here, we integrate a chemical transport model (CAMx) with a random forest (RF) machine learning approach to bias-correct and downscale daily OA concentrations across Europe. CAMx OA simulations at ∼15 km resolution show moderate agreement with observations (r = 0.55). By combining these outputs with high-resolution land-use data and training the RF model on ∼48,000 daily OA measurements from 137 sites, prediction accuracy improved (r = 0.65), with ∼l5% reduction in root mean square error. The resulting maps provide European daily OA concentrations at ∼250 m resolution for alternate years from 2011 to 2019. The model captures key spatial features, including elevated OA in the Po Valley, Southeastern, and Central Europe, as well as intracity variations due to local hotspots. Seasonal analysis reveals higher concentrations in winter, while long-term trends indicate a general decline in OA levels. Exposure estimates show that half of the European population experiences OA levels above 3 µg/m3, and ∼50 million people are exposed to more than 5 µg/m3, which is the current guideline level recommended by the world health organization for total PM2.5. These high-resolution OA maps offer vital critical support for epidemiological research and air quality policy.

2026

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