Detection of brake wear aerosols by aerosol time-of-flight mass spectrometry
9 pages, 3 figures, 1 table, supplementary data http://dx.doi.org/10.1016/j.atmosenv.2016.01.018
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Subjects: | ATOFMS, Single particles, Traffic emissions, Resuspension, Brake dust, |
Online Access: | http://hdl.handle.net/10261/130897 http://dx.doi.org/10.13039/501100000662 |
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dig-icm-es-10261-1308972020-03-04T02:00:27Z Detection of brake wear aerosols by aerosol time-of-flight mass spectrometry Beddows, D.C.S. Dall'Osto, Manuel Olatunbosun, Oluremi A. Harrison, Roy M. National Centre for Atmospheric Science (UK) ATOFMS Single particles Traffic emissions Resuspension Brake dust 9 pages, 3 figures, 1 table, supplementary data http://dx.doi.org/10.1016/j.atmosenv.2016.01.018 Brake dust particles were characterised using an Aerosol Time-of-Flight Mass Spectrometer (ATOFMS) operated using two inlet configurations, namely the aerodynamic lens (AFL) inlet and countersunk nozzle inlet. Laboratory studies show that dust particles are characterised by mass spectra containing ions deriving from Fe and Ba and although highly correlated to each other, the Fe and Ba signals were mostly detected using the nozzle inlet with relatively high laser desorption energies. When using the AFL, only [56Fe] and [−88FeO2] ions were observed in brake dust spectra generated using lower laser desorption pulse energies, and only above 0.75 mJ was the [138Ba] ion detected. When used with the preferred nozzle inlet configuration, the [−88FeO2] peak was considered to be the more reliable tracer peak, because it is not present in other types of dust (mineral, tyre, Saharan etc). As shown by the comparison with ambient data from a number of locations, the aerodynamic lens is not as efficient in detecting brake wear particles, with less than 1% of sampled particles attributed to brake wear. Five field campaigns within Birmingham (background, roadside (3) and road tunnel) used the nozzle inlet and showed that dust particles (crustal and road) accounted for between 3.1 and 65.9% of the particles detected, with the remaining particles being made up from varying percentages of other constituents This work was supported by the UK National Centre for Atmospheric Science Peer Reviewed 2016-03 2016-04-08T10:23:07Z artículo http://purl.org/coar/resource_type/c_6501 doi: 10.1016/j.atmosenv.2016.01.018 issn: 1352-2310 Atmospheric Environment 129: 167-175 (2016) http://hdl.handle.net/10261/130897 10.1016/j.atmosenv.2016.01.018 http://dx.doi.org/10.13039/501100000662 http://dx.doi.org/10.1016/j.atmosenv.2016.01.018 Sí open Elsevier |
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ATOFMS Single particles Traffic emissions Resuspension Brake dust ATOFMS Single particles Traffic emissions Resuspension Brake dust |
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ATOFMS Single particles Traffic emissions Resuspension Brake dust ATOFMS Single particles Traffic emissions Resuspension Brake dust Beddows, D.C.S. Dall'Osto, Manuel Olatunbosun, Oluremi A. Harrison, Roy M. Detection of brake wear aerosols by aerosol time-of-flight mass spectrometry |
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9 pages, 3 figures, 1 table, supplementary data http://dx.doi.org/10.1016/j.atmosenv.2016.01.018 |
author2 |
National Centre for Atmospheric Science (UK) |
author_facet |
National Centre for Atmospheric Science (UK) Beddows, D.C.S. Dall'Osto, Manuel Olatunbosun, Oluremi A. Harrison, Roy M. |
format |
artículo |
topic_facet |
ATOFMS Single particles Traffic emissions Resuspension Brake dust |
author |
Beddows, D.C.S. Dall'Osto, Manuel Olatunbosun, Oluremi A. Harrison, Roy M. |
author_sort |
Beddows, D.C.S. |
title |
Detection of brake wear aerosols by aerosol time-of-flight mass spectrometry |
title_short |
Detection of brake wear aerosols by aerosol time-of-flight mass spectrometry |
title_full |
Detection of brake wear aerosols by aerosol time-of-flight mass spectrometry |
title_fullStr |
Detection of brake wear aerosols by aerosol time-of-flight mass spectrometry |
title_full_unstemmed |
Detection of brake wear aerosols by aerosol time-of-flight mass spectrometry |
title_sort |
detection of brake wear aerosols by aerosol time-of-flight mass spectrometry |
publisher |
Elsevier |
url |
http://hdl.handle.net/10261/130897 http://dx.doi.org/10.13039/501100000662 |
work_keys_str_mv |
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_version_ |
1777666400365576192 |