Skip to content
  • Submit

  • Category

  • Sort by

  • Per page

Found 10001 publications. Showing page 388 of 401:

Publication  
Year  
Category

High-Resolution Mass Spectrometry for Human Exposomics: Expanding Chemical Space Coverage

Lai, Yunjia; Koelmel, Jeremy P.; Walker, Douglas I; Price, Elliott J.; Papazian, Stefano; Manz, Katherine E.; Castilla-Fernández, Delia; Bowden, John A.; Nikiforov, Vladimir; David, Arthur; Bessonneau, Vincent; Amer, Bashar; Seethapathy, Suresch; Hu, Xin; Lin, Elizabeth Z.; Jbebli, Akrem; McNeil, Brooklynn R.; Barupal, Dinesh Kumar; Cerasa, Marina; Xie, Hongyu; Kalia, Vrinda; Nandakumar, Renu; Singh, Randolph R.; Tian, Zhenyu; Gao, Peng; Zhao, Yujia; Froment, Jean Francois; Rostkowski, Pawel; Dubey, Saurabh; Coufalíková, Kateřina; Seličová, Hana; Hecht, Helge; Liu, Sheng; Udhani, Hanisha H.; Restituito, Sophie; Tchou-Wong, Kam-Meng; Lu, Kun; Martin, Jonathan W.; Warth, Benedikt; Pollitt, Krystal J. Godri; Klánová, Jana; Fiehn, Oliver; Metz, Thomas O.; Pennell, Kurt D.; Jones, Dean P.

In the modern “omics” era, measurement of the human exposome is a critical missing link between genetic drivers and disease outcomes. High-resolution mass spectrometry (HRMS), routinely used in proteomics and metabolomics, has emerged as a leading technology to broadly profile chemical exposure agents and related biomolecules for accurate mass measurement, high sensitivity, rapid data acquisition, and increased resolution of chemical space. Non-targeted approaches are increasingly accessible, supporting a shift from conventional hypothesis-driven, quantitation-centric targeted analyses toward data-driven, hypothesis-generating chemical exposome-wide profiling. However, HRMS-based exposomics encounters unique challenges. New analytical and computational infrastructures are needed to expand the analysis coverage through streamlined, scalable, and harmonized workflows and data pipelines that permit longitudinal chemical exposome tracking, retrospective validation, and multi-omics integration for meaningful health-oriented inferences. In this article, we survey the literature on state-of-the-art HRMS-based technologies, review current analytical workflows and informatic pipelines, and provide an up-to-date reference on exposomic approaches for chemists, toxicologists, epidemiologists, care providers, and stakeholders in health sciences and medicine. We propose efforts to benchmark fit-for-purpose platforms for expanding coverage of chemical space, including gas/liquid chromatography–HRMS (GC-HRMS and LC-HRMS), and discuss opportunities, challenges, and strategies to advance the burgeoning field of the exposome.

2024

ECOMAP - Exploitation of ongoing and future Copernicus Missions for Atmospheric Applications

Fjæraa, Ann Mari; Stebel, Kerstin; Schneider, Philipp; Sollum, Espen; Ytre-Eide, Martin Album

2024

PikMe: A prioritization tool for emerging pollutants

Wennberg, Aina Charlotte; Reid, Malcolm James; Rostkowski, Pawel

2024

Status report of air quality in Europe for year 2023, using validated and up-to-date data

Targa, Jaume; Colina, María; Banyuls, Lorena; Ortiz, Alberto González; Soares, Joana

ETC/HE

2024

Screening Programme 2023

Gundersen, Cathrine Brecke; Nipen, Maja; Reid, Malcolm James; Ruus, Anders; Rostkowski, Pawel; Blévin, Pierre; Jourdain, Eve Marie; Junge, Claudia; Bæk, Kine; Rundberget, Thomas; Nikiforov, Vladimir; Borgen, Anders; Halse, Anne Karine; Vogelsang, Christian; Brkljacic, Marijana Stenrud; Moy, Siri Røang; Ranneklev, Sissel Brit

The 2023 Screening Programme aimed to investigate the presence of emerging environmental concerning substances 1) at so-called “hot spot” locations, and 2) in marine top predators. Part 1 covered emerging substances that were considered for EU regulation; persistent, mobile and toxic; identified as problematic (Sweden); and UV-stabilizers. Sampling sites were a wastewater treatment plant, indoor dust, agricultural soils, and consumer products. Part 2 covered substances found in the 2021 Screening Programme as well as selected through the LIfeAPEX project. Additionally, in part 2, several classical legacy contaminants were included. A unique sample set was assembled with different types of tissue from whales (killer whale, sperm whale, fin whale, humpback whale, white beaked dolphin, and harbor porpoise) and sharks (greenland shark, porbeagle shark, and spiny dogfish). Highlights from the results in part 1 covered a high detection frequency and concentrations of one phthalate (CAS 6422-86-2) and two UV-stabilizers (CAS 154702-15-5 and 103597-45-1). In part 2, only a small number of the emerging substances were identified, while many of the legacy substances were found at high levels.

Norsk institutt for vannforskning (NIVA)

2024

How does suburban sprawl vs. compact city development influence urban transport performance and its emissions?

Drabicki, Arkadiusz; Lopez-Aparicio, Susana; Grythe, Henrik; Chwastek, Konrad; Górska, Lidia

2024

Risikovurdering av grillet mat.

Kvalem, Helen Engelstad; Alexander, Jan; Bukhvalova, Barbara Alexandra; Dahl, Lisbeth; Knutsen, Helle Katrine; Olsen, Ann-Karin Hardie; Schlabach, Martin; Mariussen, Espen

2024

The Global Fire Assimilation System (GFAS) & Peat fire emissions

Kaiser, Johannes; Stebel, Kerstin; Schneider, Philipp

2024

Atmospheric monitoring of POPs at the Trollhaugen observatory

Halvorsen, Helene Lunder; Bäcklund, Are; Aas, Wenche; Bohlin-Nizzetto, Pernilla

2024

Estimation of spatio-temporal source of microplastics using Bayesian Neural networks

Brožová, Antonie; Šmídl, Václav; Tichý, Ondřej; Evangeliou, Nikolaos

2024

Atmospheric Microplastic in the Arctic and Mainland Norway; occurrence, composition and sources

Schmidt, Natascha; Herzke, Dorte; Eckhardt, Sabine; Evangeliou, Nikolaos

2024

In memory of Dr. Ir. Gudrun Koppen (1969–2024)

Collins, Andrew Richard Sherman; Azqueta, Oscoz Amaya; Schoeters, Greet; Slingers, Gitte; Dusinska, Maria; Langie, Sabine A.S.

2024

Zürich II Statement on Per- and Polyfluoroalkyl Substances (PFASs): Scientific and Regulatory Needs

DeWitt, Jamie C.; Glüge, Juliane; Cousins, Ian T.; Goldenman, Gretta; Herzke, Dorte; Lohmann, Rainer; Miller, Mark; Ng, Carla A.; Patton, Sharyle; Trier, Xenia; Vierke, Lena; Wang, Zhanyun; Adu-Kumi, Sam; Balan, Simona; Buser, Andreas M.; Fletcher, Tony; Haug, Line Småstuen; Heggelund, Audun; Huang, Jun; Kaserzon, Sarit; Leonel, Juliana; Sheriff, Ishmail; Shi, Ya-Li; Valsecchi, Sara; Scheringer, Martin

Per- and polyfluoroalkyl substances (PFASs) are a class of synthetic organic chemicals of global concern. A group of 36 scientists and regulators from 18 countries held a hybrid workshop in 2022 in Zürich, Switzerland. The workshop, a sequel to a previous Zürich workshop held in 2017, deliberated on progress in the last five years and discussed further needs for cooperative scientific research and regulatory action on PFASs. This review reflects discussion and insights gained during and after this workshop and summarizes key signs of progress in science and policy, ongoing critical issues to be addressed, and possible ways forward. Some key take home messages include: 1) understanding of human health effects continues to develop dramatically, 2) regulatory guidelines continue to drop, 3) better understanding of emissions and contamination levels is needed in more parts of the world, 4) analytical methods, while improving, still only cover around 50 PFASs, and 5) discussions of how to group PFASs for regulation (including subgroupings) have gathered momentum with several jurisdictions proposing restricting a large proportion of PFAS uses. It was concluded that more multi-group exchanges are needed in the future and that there should be a greater diversity of participants at future workshops.

2024

Two-Stage Feature Engineering to Predict Air Pollutants in Urban Areas

Naz, Fareena; Fahim, Muhammad; Cheema, Adnan Ahmad; Nguyen, Trung Viet; Cao, Tuan-Vu; Hunter, Ruth; Duong, Trung Q.

Air pollution is a global challenge to human health and the ecological environment. Identifying the relationship among pollutants, their fundamental sources and detrimental effects on health and mental well-being is critical in order to implement appropriate countermeasures. The way forward to address this issue and assess air quality is through accurate air pollution prediction. Such prediction can subsequently assist governing bodies in making prompt, evidence-based decisions and prevent further harm to our urban environment, public health, and climate, all of which co-benefit our economy. In this study, the main objective is to explore the strength of features and proposed a two stage feature engineering approach, which fuses the advantage of influential factors along with the decomposition approach and generates an optimum feature combination for five major pollutants including Nitrogen Dioxide (NO 2 ), Ozone (O 3 ), Sulphur Dioxide (SO 2 ), and Particulate Matter (PM2.5, and PM10). The experiments are conducted using a dataset from 2015 to 2020 which is publicly available and is collected from Belfast-based air quality monitoring stations in Northern Ireland, UK. In stage-1, using the dataset new features such as trigonometric and statistical features are created to capture their dependency on the target pollutant and generated correlation-inspired best feature combinations to improve forecasting model performance. This is further enhanced in stage-2 by an optimum feature combination which is an integration of stage-1 and Variational Mode Decomposition (VMD) based features. This study employed a simplified Long Short Term Memory (LSTM) neural network and proposed a single-step forecasting model to predict multivariate time series data. Three performance indicators are used to evaluate the effectiveness of forecasting model: (a) root mean square error (RMSE), (b) mean absolute error (MAE), and (c) R-squared (R 2 ). The results demonstrate the effectiveness of proposed approach with 13% improvement in performance (in terms of R 2 ) and the lowest error scores for both RMSE and MAE.

2024

Reconciliation of methane emissions in European national inventory reports with atmospheric measurements

Houweling, Sander; Berchet, Antoine; Brunner, Dominik; Cheliotis, Ioannis; Fenjuan, Wang; Ioannidis, Elefterios; Koch, Frank-Thomas; Lin, Hong; Maksyutov, Shamil; Meesters, Antoon; Monteil, Guillaume; Pison, Isabelle; Ren, Ge; Scholze, Marko; Sollum, Espen; Steiner, Michael; Thompson, Rona Louise; Tsuruta, Aki

2024

Unexpected anthropogenic emission decreases explain recent atmospheric mercury concentration declines

Feinberg, Aryeh; Selin, Noelle E.; Braban, Christine F.; Chang, Kai-Lan; Custódio, Danilo; Jaffe, Daniel A.; Kyllönen, Katriina; Landis, Matthew S.; Leeson, Sarah R.; Luke, Winston; Molepo, Koketso M.; Murovec, Marijana; Mastromonaco, Michelle G. Nerentorp; Pfaffhuber, Katrine Aspmo; Rüdiger, Julian; Sheu, Guey-Rong; Louis, Vincent L. St

Anthropogenic activities emit ~2,000 Mg y−1 of the toxic pollutant mercury (Hg) into the atmosphere, leading to long-range transport and deposition to remote ecosystems. Global anthropogenic emission inventories report increases in Northern Hemispheric (NH) Hg emissions during the last three decades, in contradiction with the observed decline in atmospheric Hg concentrations at NH measurement stations. Many factors can obscure the link between anthropogenic emissions and atmospheric Hg concentrations, including trends in the reemissions of previously released anthropogenic (“legacy”) Hg, atmospheric sink variability, and spatial heterogeneity of monitoring data. Here, we assess the observed trends in gaseous elemental mercury (Hg0) in the NH and apply biogeochemical box modeling and chemical transport modeling to understand the trend drivers. Using linear mixed effects modeling of observational data from 51 stations, we find negative Hg0 trends in most NH regions, with an overall trend for 2005 to 2020 of −0.011 ± 0.006 ng m−3 y−1 (±2 SD). In contrast to existing emission inventories, our modeling analysis suggests that annual NH anthropogenic emissions must have declined by at least 140 Mg between the years 2005 and 2020 to be consistent with observed trends. Faster declines in 95th percentile Hg0 values than median values in Europe, North America, and East Asian measurement stations corroborate that the likely cause is a decline in nearby anthropogenic emissions rather than background legacy reemissions. Our results are relevant for evaluating the effectiveness of the Minamata Convention on Mercury, demonstrating that existing emission inventories are incompatible with the observed Hg0 declines.

2024

Chemicals of Emerging Concern (CECs) in Coastal Waters: Environmental Impacts and Management Strategies

Kallenborn, Roland; Ali, Aasim M.; Hartz, William Frederik; Zhang, Zifeng; Li, Yifan

2024

Måling av gasser i Statsarkivets lokaler i Trondheim. Fase 2 - 2024

Berglen, Tore Flatlandsmo; Håland, Alexander; Grøntoft, Terje

Denne rapporten viser resultater fra fase 2 i måleprosjektet NILU har utført ved Statsarkivet i Trondheim. Det er gjort prøvetaking og analyse i en periode på sju dager fra 23. til 30. mai ved to lokaliteter, én innendørs og én utendørs. Totalkonsentrasjonen av VOC’er (TVOC) ble målt til 135 µg/m3 gitt som toluen-ekvivalenter ved lokaliteten inne (MAG A, Reol 097) og 33 µg/m3 ved lokaliteten ute. Resultatene synliggjør effekten av innendørs ventilasjonssystemer og begge studiene vil brukes av Statsarkivet i sitt videre arbeid med innendørs luftkvalitet.

NILU

2024

Analysis and evaluation of genotoxicity and carcinogenicity assessment across legislation towards the regulatory implementation of NAMs

Bossa, Cecilia; Alivernini, Silvia; Andreoli, Cristina; Aquilina, Gabriele; Attias, Leonello; Marcon, Francesca; Russo, Maria Teresa; Dusinska, Maria; Yamani, Naouale El; Rundén-Pran, Elise; Louro, Henriqueta; Silva, Maria João; Benfenati, Emilio; Raitano, Giuseppa; Battistelli, Chiara Laura

2024

Status of the ICOS Norway atmosphere domain

Platt, Stephen Matthew; Aas, Wenche; Lunder, Chris Rene; Hermansen, Ove

2024

Methane in Svalbard (SvalGaSess)

Hodson, Andy; Kleber, Gabby; Platt, Stephen Matthew; Kalenitchenko, Dimitri; Hensgens, Geert; Irvine-Fynn, Tristram; Senger, Kim; Tveit, Alexander; Øverås, Lise; ten Hietbrink, Sophie; Hollander, Jamie; Ammerlaan, Fenna; Damm, Ellen; Römer, Miriam; Fransson, Agneta; Chierici, Melissa

2024

Global Vegetation Fires in 2023 As Seen By GFAS in CAMS

Kaiser, Johannes; Parrington, Mark; Inness, Antje; Flemming, Johannes; Remy, Samuel; Huijnen, Vincent

2024

Publication
Year
Category