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Found 10517 publications. Showing page 381 of 421:

Publication  
Year  
Category

Analytical pyrolysis for the qualitative and quantitative determination of airborne microplastics and nanoplastics

Barlucchi, Leonardo; Schmidt, Natascha; Mattonai, Marco; Lusher, Amy L.; Herzke, Dorte; Nasa, Jacopo La; Modugno, Francesca

Airborne microplastics and nanoplastics (MNPs) are emerging contaminants of global concern due to their persistence, widespread distribution, and potential health impacts. With sizes comparable to PM2.5, they are inhalable and may penetrate deep into the respiratory tract. Their detection and quantification remain challenging because of low environmental concentrations, complex matrices, and particle sizes often below the detection limits of current micro spectroscopic techniques. Pyrolysis–gas chromatography–mass spectrometry (Py-GC-MS) offers a powerful mass-based approach, enabling identification and quantification of polymers regardless of particle size. This review critically examines current methodologies for airborne MNP analysis using Py-GC-MS, including sampling strategies, pretreatment protocols, instrumental parameters, and data modeling approaches. A technological readiness level assessment highlights limited methodological harmonization and insufficient validation, particularly for nanoplastics. Progress toward routine atmospheric monitoring requires standardized workflows, agreed polymer-specific markers, interlaboratory validation, and improved reporting practices to establish Py-GC-MS as a cornerstone technique for airborne MNP assessment.

2026

Analytical intercomparison of heavy metals in precipitation, 2008. EMEP/CCC

Uggerud, H.T.; Hjellbrekke, A.-G.

2009

Analytical intercomparison of heavy metals in precipitation, 2007. EMEP/CCC

Uggerud, H.T.; Hjellbrakke, A.-G.

2008

2003

2002

2001

Analytical chemistry

Hanssen, Linda

2022

Analytical challenges hamper perfluoroalkyl research.

Martin, J.W.; Kannan, K.; Berger, U.; de Voogt, P.; Field, J.; Franklin, J.; Giesy, J.P.; Harner, T.; Muir, D.C.G.; Scott, B.; Kaiser, M.; Järnberg, U.; Jones, K.C., Mabury, S.A.; Schroeder, H.; Simcik, M.; Sottani, C.; van Bavel, B.; Kärrman, A., Lindström, G.; van Leeuwen, S.

2004

ANALYST SSbD approach

Longhin, Eleonora Marta

2025

Analysis of variability in atmospheric methane in the Arctic.

Thompson, R.; Stohl, A.; Myhre, C.L.; Fisher, R.; Lowry, D.; Nisbet, E.; Aalto, T.; Dlugokencky, E.; Crotwell, A.

2014

Analysis of variability in atmospheric methane in the Arctic. NILU PP

Thompson, R.; Stohl, A.; Myhre, C.L.; Fisher, R.; Lowry, D.; Nisbet, E.; Aalto, T.; Dlugokencky, E.; Crotwell, A.

2014

Analysis of the effect of indoor environment on pupils’ health in one Norwegian school during COVID-19 pandemic

Ulvestad, Anita; Cao, Guangyu; Gustavsen, Kai; Vogt, Matthias; Rismyhr, Tore; Yang, Zhirong

The aim of this project is to investigate and predict the quantified effect of indoor environment on pupils’ health in schools in Norway during the COVID-19 pandemic. The results are based on field measurements of the indoor environment in a Norwegian school. In addition, a survey (Mitt Inneklima) from NAAF was given to the pupils, and the result was investigated by using a machine learning model. From the field measurements it was found that the indoor temperature was generally too high, the relative humidity was too low, and the CO2- concentration was typically below 1000 ppm. The survey shows that more pupils are experiencing various indoor climate problems every week compared to the reference school for almost all of the parameters. By using machine learning, it is found that Too hot is an important feature for 11 of the 12 health problems, while Dry air is an important feature for nine of them.

2021

Analysis of station classification. ETC/ACM Technical Paper, 2012/17

Malherbe, L.; Ung, A.; Schneider, P.; de Leeuw, F.

2013

Analysis of station classification and network design in Europe. ETC/ACM Technical Paper, 2013/18

Malherbe, L.; Ung, A.; Schneider, P.; Jimmink, B.; de Leeuw, F.

2013

Analysis of source regions and transport pathways of sub-micron aerosol components in Europe

Schneider, Michelle Y.; Jiang, Jianhui; Chen, Ying; Aas, Wenche; Atabakhsh, Samira; Aurela, Minna; Belis, Claudio; Bougiatioti, Aikaterini; Bressi, Michael; Canonaco, Francesco; Chazeau, Benjamin; Chebaicheb, Hasna; Ehn, Mikael; Eleftheriadis, Konstantinos; Favez, Olivier; Flentje, Harald; Font, Anna; Freney, Evelyn; Gilardoni, Stefania; Gini, Maria I.; Green, David C.; Heikkinen, Liine; Keernik, Hannes; Lhotka, Radek; Lin, Chunshui; Maasikmets, Marek; Marchand, Nicolas; Minguillón, María Cruz; Necki, Jaroslaw; Ovadnevaite, Jurgita; Paglione, Marco; Pauraite, Julija; Petit, Jean-Eudes; Pikridas, Michael; Platt, Stephen Matthew; Pokorná, Petra; Poluzzi, Vanes; Poulain, Laurent; Riffault, Véronique; Rinaldi, Matteo; Sciare, Jean; Sosedova, Yulia; Stavroulas, Iasonas; Timonen, Hilkka; Tobler, Anna; Vasilescu, Jeni; Via, Marta; Vodička, Petr; Zhang, Yunjiang; Zografou, Olga; Daellenbach, Kaspar Rudolf; Upadhyay, Abhishek; Chen, Gang I.; Manousakas, Manousos-Ioannis; Haddad, Imad El; Prévôt, André S.H.

It is important to study aerosols and their origins, as they pose various negative health and environmental impacts. In this study, we combined year-long datasets from 15 different countries with Trajectory Statistical Methods (TSMs) for the first time at this comprehensive scale. We found possible source regions and seasonal variations of various particulate matter (PM) components in Europe, including total organic aerosol (OA), biomass burning OA (BBOA), oxygenated OA (OOA), ammonium (NH4), nitrate (NO3), and sulphate (SO4). We found that for all of the studied components, Eastern Europe was among the highest contributors. For NO3, other important source regions were Northern France and the Benelux, while for SO4 there were significant contributions from the Mediterranean region. We also compared our measurement-based model with simulated concentrations of an atmospheric chemistry transport model (CAMx). We observed a satisfactory agreement in regions where we had sufficient coverage with air pollution monitoring stations. The main deviations for OA were found around the Po Valley, where CAMx consistently estimated higher concentrations, while the TSM analysis did not highlight it as a hotspot because long-term monitoring datasets in this region are lacking. CAMx also underestimated the concentrations around Poland, mainly from residential burning. Our results provide opportunities to refine European emission inventories and deliver valuable information on long-range transported air pollutants. This work suggests that policies mitigating air pollution in Eastern Europe and the Benelux could help improve overall air quality in entire Europe more efficiently.

2025

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