An overview of methods of fine and ultrafine particle collection for physicochemical characterisation and toxicity assessments.

Artificial intelligence Mass collection Particulate matter Physicochemical characteristics Toxicological assessments Ultrafine particles

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
20 Feb 2021
Historique:
received: 01 08 2020
revised: 08 10 2020
accepted: 02 11 2020
pubmed: 27 11 2020
medline: 2 1 2021
entrez: 26 11 2020
Statut: ppublish

Résumé

Particulate matter (PM) is a crucial health risk factor for respiratory and cardiovascular diseases. The smaller size fractions, ≤2.5 μm (PM

Identifiants

pubmed: 33239200
pii: S0048-9697(20)37084-4
doi: 10.1016/j.scitotenv.2020.143553
pii:
doi:

Substances chimiques

Air Pollutants 0
Particulate Matter 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

143553

Subventions

Organisme : Medical Research Council
ID : MC_PC_MR/R024405/1
Pays : United Kingdom

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare no conflict of interest.

Auteurs

Prashant Kumar (P)

Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, United Kingdom; Department of Civil, Structural & Environmental Engineering, Trinity College Dublin, Dublin, Ireland. Electronic address: P.Kumar@surrey.ac.uk.

Gopinath Kalaiarasan (G)

Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, United Kingdom.

Alexandra E Porter (AE)

Department of Materials, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom.

Alessandra Pinna (A)

Department of Materials, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom.

Michał M Kłosowski (MM)

Department of Materials, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom.

Philip Demokritou (P)

Center for Nanotechnology and Nanotoxicology, Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, 665 Huntington Avenue, Room 1310, Boston, MA 02115, USA.

Kian Fan Chung (KF)

National Heart & Lung Institute, Imperial College London, London SW3 6LY, United Kingdom.

Christopher Pain (C)

Department of Earth Science & Engineering, Imperial College London, London SW7 2AZ, United Kingdom.

D K Arvind (DK)

Centre for Speckled Computing, School of Informatics, University of Edinburgh, Edinburgh, Scotland EH8 9AB, United Kingdom.

Rossella Arcucci (R)

Data Science Institute, Department of Computing, Imperial College London, London SW7 2BU, United Kingdom.

Ian M Adcock (IM)

National Heart & Lung Institute, Imperial College London, London SW3 6LY, United Kingdom.

Claire Dilliway (C)

Department of Earth Science & Engineering, Imperial College London, London SW7 2AZ, United Kingdom.

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Classifications MeSH