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An overview of methods of fine and ultrafine particle collection for physicochemical characterisation and toxicity assessments.
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1-s2.0-S0048969720370844-main.pdf | Published version | 1.45 MB | Adobe PDF | View/Open |
Title: | An overview of methods of fine and ultrafine particle collection for physicochemical characterisation and toxicity assessments. |
Authors: | Kumar, P Kalaiarasan, G Porter, AE Pinna, A Kłosowski, MM Demokritou, P Chung, KF Pain, C Arvind, DK Arcucci, R Adcock, IM Dilliway, C |
Item Type: | Journal Article |
Abstract: | Particulate matter (PM) is a crucial health risk factor for respiratory and cardiovascular diseases. The smaller size fractions, ≤2.5 μm (PM2.5; fine particles) and ≤0.1 μm (PM0.1; ultrafine particles), show the highest bioactivity but acquiring sufficient mass for in vitro and in vivo toxicological studies is challenging. We review the suitability of available instrumentation to collect the PM mass required for these assessments. Five different microenvironments representing the diverse exposure conditions in urban environments are considered in order to establish the typical PM concentrations present. The highest concentrations of PM2.5 and PM0.1 were found near traffic (i.e. roadsides and traffic intersections), followed by indoor environments, parks and behind roadside vegetation. We identify key factors to consider when selecting sampling instrumentation. These include PM concentration on-site (low concentrations increase sampling time), nature of sampling sites (e.g. indoors; noise and space will be an issue), equipment handling and power supply. Physicochemical characterisation requires micro- to milli-gram quantities of PM and it may increase according to the processing methods (e.g. digestion or sonication). Toxicological assessments of PM involve numerous mechanisms (e.g. inflammatory processes and oxidative stress) requiring significant amounts of PM to obtain accurate results. Optimising air sampling techniques are therefore important for the appropriate collection medium/filter which have innate physical properties and the potential to interact with samples. An evaluation of methods and instrumentation used for airborne virus collection concludes that samplers operating cyclone sampling techniques (using centrifugal forces) are effective in collecting airborne viruses. We highlight that predictive modelling can help to identify pollution hotspots in an urban environment for the efficient collection of PM mass. This review provides guidance to prepare and plan efficient sampling campaigns to collect sufficient PM mass for various purposes in a reasonable timeframe. |
Issue Date: | 20-Feb-2021 |
Date of Acceptance: | 2-Nov-2020 |
URI: | http://hdl.handle.net/10044/1/84518 |
DOI: | 10.1016/j.scitotenv.2020.143553 |
ISSN: | 0048-9697 |
Publisher: | Elsevier |
Start Page: | 1 |
End Page: | 22 |
Journal / Book Title: | Science of the Total Environment |
Volume: | 756 |
Copyright Statement: | © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license. |
Sponsor/Funder: | Engineering & Physical Science Research Council (EPSRC) |
Funder's Grant Number: | EP/T003189/1 |
Keywords: | Science & Technology Life Sciences & Biomedicine Environmental Sciences Environmental Sciences & Ecology Particulate matter Ultrafine particles Mass collection Physicochemical characteristics Toxicological assessments Artificial intelligence PARTICULATE MATTER PM2.5 X-RAY-FLUORESCENCE AIR-QUALITY OXIDATIVE STRESS CHEMICAL-COMPOSITION COMPOSITION DISTRIBUTIONS GREEN INFRASTRUCTURE SOURCE APPORTIONMENT HOSPITAL ADMISSIONS PERSONAL EXPOSURES Artificial intelligence Mass collection Particulate matter Physicochemical characteristics Toxicological assessments Ultrafine particles Air Pollutants Environmental Monitoring Oxidative Stress Particle Size Particulate Matter Air Pollutants Environmental Monitoring Oxidative Stress Particle Size Particulate Matter Artificial intelligence Mass collection Particulate matter Physicochemical characteristics Toxicological assessments Ultrafine particles Environmental Sciences |
Publication Status: | Published |
Conference Place: | Netherlands |
Online Publication Date: | 2020-11-06 |
Appears in Collections: | Materials Computing Earth Science and Engineering National Heart and Lung Institute Faculty of Medicine Faculty of Natural Sciences Faculty of Engineering |
This item is licensed under a Creative Commons License