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dc.contributor.authorHaugen, Molly J
dc.contributor.authorSingh, Ajit
dc.contributor.authorBousiotis, Dimitrios
dc.contributor.authorPope, Francis D
dc.contributor.authorBoies, Adam
dc.date.accessioned2022-05-09T11:05:30Z
dc.date.available2022-05-09T11:05:30Z
dc.date.issued2022-05-06
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/336930
dc.description.abstractLow-cost particle sensors have proven useful in applications such as source apportionment, health, and reactivity studies. The benefits of these instruments increase when used in parallel, as exemplified with a 3-month long deployment in an urban background site. Using two lung-deposited surface area (LDSA) instruments, a low-cost method was developed to assess the solid component of an aerosol by applying a catalytic stripper to the inlet stream of one LDSA instrument, resulting in only the solid fraction of the sample being measured (LDSAc). To determine the semi-volatile fraction of the sample, the LDSAC was compared to the LDSA without a catalytic stripper, thus measuring all particles (LDSAN). The ratio of LDSA (LDSAC/LDSAN) was used to assess the fraction of solid and semi-volatile particles within a sample. Here, a low ratio represents a high fraction of semi-volatile particles, with a high ratio indicating a high fraction of solid particles. During the 3-month urban background study in Birmingham, UK, it is shown that the LDSA ratios ranged from 0.2−0.95 indicating a wide variation in sources and subsequent semi-volatile fraction of particles. A black carbon (BC) instrument was used to provide a low-cost measure of LDSA to BC ratio. Comparatively, the LDSA to BC ratios obtained using low-cost sensors showed similar results to high-cost analyses for urban environments. During a high LDSAC/LDSAN ratio sampling period, representing high solid particle concentrations, an LDSA to BC probability distribution was shown to be multimodal, reflecting urban LDSA to BC ratio distributions measured with laboratory-grade instrumentation. Here, a low-cost approach for data analyses presents insight on particle characteristics and insight into PM composition and size, useful in source apportionment, health, and atmospheric studies.
dc.languageen
dc.publisherMDPI
dc.subjectlow-cost LDSA
dc.subjectLDSA to BC Ratio
dc.subjectlow-cost sensing
dc.subjectsemi-volatile particles
dc.titleDifferentiating Semi-Volatile and Solid Particle Events Using Low-Cost Lung-Deposited Surface Area and Black Carbon Sensors
dc.typeArticle
dc.date.updated2022-05-09T11:05:30Z
prism.issueIdentifier5
prism.publicationNameAtmosphere
prism.volume13
dc.identifier.doi10.17863/CAM.84349
dcterms.dateAccepted2022-05-03
rioxxterms.versionofrecord10.3390/atmos13050747
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidBoies, Adam [0000-0003-2915-3273]
dc.identifier.eissn2073-4433
pubs.funder-project-idNatural Environment Research Council (NE/T001968/1)


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