High time resolution quantification of PM2.5 oxidative potential at a Central London roadside supersite

The oxidative potential (OP) of airborne particulate matter (PM) is gaining increasing attention as a health-relevant metric to describe the capacity of PM to promote oxidative stress and cause adverse health effects. To date, most OP studies use filter-based approaches to sample PM and quantify OP,...

Full description

Saved in:
Bibliographic Details
Main Authors: Steven J. Campbell, Alexandre Barth, Gang I. Chen, Anja H. Tremper, Max Priestman, David Ek, Shuming Gu, Frank J. Kelly, Markus Kalberer, David C. Green
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Environment International
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412024006883
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850130476219498496
author Steven J. Campbell
Alexandre Barth
Gang I. Chen
Anja H. Tremper
Max Priestman
David Ek
Shuming Gu
Frank J. Kelly
Markus Kalberer
David C. Green
author_facet Steven J. Campbell
Alexandre Barth
Gang I. Chen
Anja H. Tremper
Max Priestman
David Ek
Shuming Gu
Frank J. Kelly
Markus Kalberer
David C. Green
author_sort Steven J. Campbell
collection DOAJ
description The oxidative potential (OP) of airborne particulate matter (PM) is gaining increasing attention as a health-relevant metric to describe the capacity of PM to promote oxidative stress and cause adverse health effects. To date, most OP studies use filter-based approaches to sample PM and quantify OP, which have relatively poor time resolution (∼24 h) and underestimate the contribution of reactive components to OP due to the time delay between sample collection and analysis. To address this important limitation, we have developed a novel instrument which uses a direct-to-reagent sampling approach, providing robust, continuous, high time resolution (5 min) OP quantification, hence overcoming analytical limitations of filter-based techniques. In this study, we deployed this instrument in the Marylebone Road Air Quality Monitoring Station in London, UK, alongside a broad suite of high time resolution PM2.5 composition measurements for three months continuous measurement during Summer 2023. High time resolution OP quantification reveals dynamic changes in volume-normalised (OPv) and mass normalised (OPm) OP evolving over ∼hourly timescales, observed at an average PM2.5 mass concentration of 7.1 ± 4.2 µg m−3, below the WHO interim 4 target of 10 µg m−3. In addition, high time resolution data facilitates directional analysis, allowing us to determine the influence of wind speed and wind direction on OP, and the identification of PM2.5 chemical components and sources which drive dynamic changes in OP; this includes traffic emissions, as well as emissions from the London Underground into the ambient airshed. These results demonstrate the capacity of high time resolution measurements to provide new insights into the temporal evolution of OP, as well as the composition and emission sources which drive OP, developing our understanding of the characteristics of PM2.5 which may promote adverse health impacts.
format Article
id doaj-art-b8274f39139b4b8fbf703dbbf8cf3238
institution OA Journals
issn 0160-4120
language English
publishDate 2024-11-01
publisher Elsevier
record_format Article
series Environment International
spelling doaj-art-b8274f39139b4b8fbf703dbbf8cf32382025-08-20T02:32:41ZengElsevierEnvironment International0160-41202024-11-0119310910210.1016/j.envint.2024.109102High time resolution quantification of PM2.5 oxidative potential at a Central London roadside supersiteSteven J. Campbell0Alexandre Barth1Gang I. Chen2Anja H. Tremper3Max Priestman4David Ek5Shuming Gu6Frank J. Kelly7Markus Kalberer8David C. Green9MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, 86 Wood Lane, London W12 0BZ, UK; Corresponding author.Department of Environmental Sciences, University of Basel, Klingelbergstrasse 27, 4056 Basel, SwitzerlandMRC Centre for Environment and Health, Environmental Research Group, Imperial College London, 86 Wood Lane, London W12 0BZ, UKMRC Centre for Environment and Health, Environmental Research Group, Imperial College London, 86 Wood Lane, London W12 0BZ, UKMRC Centre for Environment and Health, Environmental Research Group, Imperial College London, 86 Wood Lane, London W12 0BZ, UKMRC Centre for Environment and Health, Environmental Research Group, Imperial College London, 86 Wood Lane, London W12 0BZ, UKMRC Centre for Environment and Health, Environmental Research Group, Imperial College London, 86 Wood Lane, London W12 0BZ, UKMRC Centre for Environment and Health, Environmental Research Group, Imperial College London, 86 Wood Lane, London W12 0BZ, UK; NIHR HPRU in Environmental Exposures and Health, Imperial College London, UKDepartment of Environmental Sciences, University of Basel, Klingelbergstrasse 27, 4056 Basel, SwitzerlandMRC Centre for Environment and Health, Environmental Research Group, Imperial College London, 86 Wood Lane, London W12 0BZ, UK; NIHR HPRU in Environmental Exposures and Health, Imperial College London, UKThe oxidative potential (OP) of airborne particulate matter (PM) is gaining increasing attention as a health-relevant metric to describe the capacity of PM to promote oxidative stress and cause adverse health effects. To date, most OP studies use filter-based approaches to sample PM and quantify OP, which have relatively poor time resolution (∼24 h) and underestimate the contribution of reactive components to OP due to the time delay between sample collection and analysis. To address this important limitation, we have developed a novel instrument which uses a direct-to-reagent sampling approach, providing robust, continuous, high time resolution (5 min) OP quantification, hence overcoming analytical limitations of filter-based techniques. In this study, we deployed this instrument in the Marylebone Road Air Quality Monitoring Station in London, UK, alongside a broad suite of high time resolution PM2.5 composition measurements for three months continuous measurement during Summer 2023. High time resolution OP quantification reveals dynamic changes in volume-normalised (OPv) and mass normalised (OPm) OP evolving over ∼hourly timescales, observed at an average PM2.5 mass concentration of 7.1 ± 4.2 µg m−3, below the WHO interim 4 target of 10 µg m−3. In addition, high time resolution data facilitates directional analysis, allowing us to determine the influence of wind speed and wind direction on OP, and the identification of PM2.5 chemical components and sources which drive dynamic changes in OP; this includes traffic emissions, as well as emissions from the London Underground into the ambient airshed. These results demonstrate the capacity of high time resolution measurements to provide new insights into the temporal evolution of OP, as well as the composition and emission sources which drive OP, developing our understanding of the characteristics of PM2.5 which may promote adverse health impacts.http://www.sciencedirect.com/science/article/pii/S0160412024006883Oxidative potentialPM2.5PM2.5 compositionAir PollutionAir Pollution Health Effects
spellingShingle Steven J. Campbell
Alexandre Barth
Gang I. Chen
Anja H. Tremper
Max Priestman
David Ek
Shuming Gu
Frank J. Kelly
Markus Kalberer
David C. Green
High time resolution quantification of PM2.5 oxidative potential at a Central London roadside supersite
Environment International
Oxidative potential
PM2.5
PM2.5 composition
Air Pollution
Air Pollution Health Effects
title High time resolution quantification of PM2.5 oxidative potential at a Central London roadside supersite
title_full High time resolution quantification of PM2.5 oxidative potential at a Central London roadside supersite
title_fullStr High time resolution quantification of PM2.5 oxidative potential at a Central London roadside supersite
title_full_unstemmed High time resolution quantification of PM2.5 oxidative potential at a Central London roadside supersite
title_short High time resolution quantification of PM2.5 oxidative potential at a Central London roadside supersite
title_sort high time resolution quantification of pm2 5 oxidative potential at a central london roadside supersite
topic Oxidative potential
PM2.5
PM2.5 composition
Air Pollution
Air Pollution Health Effects
url http://www.sciencedirect.com/science/article/pii/S0160412024006883
work_keys_str_mv AT stevenjcampbell hightimeresolutionquantificationofpm25oxidativepotentialatacentrallondonroadsidesupersite
AT alexandrebarth hightimeresolutionquantificationofpm25oxidativepotentialatacentrallondonroadsidesupersite
AT gangichen hightimeresolutionquantificationofpm25oxidativepotentialatacentrallondonroadsidesupersite
AT anjahtremper hightimeresolutionquantificationofpm25oxidativepotentialatacentrallondonroadsidesupersite
AT maxpriestman hightimeresolutionquantificationofpm25oxidativepotentialatacentrallondonroadsidesupersite
AT davidek hightimeresolutionquantificationofpm25oxidativepotentialatacentrallondonroadsidesupersite
AT shuminggu hightimeresolutionquantificationofpm25oxidativepotentialatacentrallondonroadsidesupersite
AT frankjkelly hightimeresolutionquantificationofpm25oxidativepotentialatacentrallondonroadsidesupersite
AT markuskalberer hightimeresolutionquantificationofpm25oxidativepotentialatacentrallondonroadsidesupersite
AT davidcgreen hightimeresolutionquantificationofpm25oxidativepotentialatacentrallondonroadsidesupersite