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dc.contributor.authorCotterell, M
dc.contributor.authorWard, G
dc.contributor.authorHibbins, AP
dc.contributor.authorHaywood, J
dc.contributor.authorWilson, A
dc.contributor.authorLandridge, JM
dc.date.accessioned2019-08-20T09:05:09Z
dc.date.issued2019-07-31
dc.description.abstractPhotoacoustic spectroscopy is the technique-of-choice for non-contact and in situ measurements of light absorption coefficients for aerosols. For most aerosol photoacoustic (PA) detectors, a key process is the amplification of the acoustic pressure wave generated from light absorption through excitation of a pressure eigenmode of a PA cell. To our knowledge, no modelling of the acoustics, sensitivity or signal-to-background ratio (SBR) has been performed for the PA cells applied commonly to aerosol absorption measurements. In this Part 1 manuscript, we develop a finite element method (FEM) framework to simulate the acoustic response and SBR of photoacoustic cells. Furthermore, we validate this modelling framework by comparing FEM predictions of single-resonator PA cells with measurements using a prototype single-resonator cell, the geometry of which can be readily adjusted. Indeed, single-resonator cells are applied commonly to aerosol absorption measurements. We show that our model predicts accurately the trends in acoustic properties with changes to cell geometry. We investigate how common geometric features, used to supress detection of background and noise processes, impact on the SBR of single-resonator PA cells. Such features include using multiple acoustic buffer volumes and tuneable air columns. The FEM model and measurements described in this paper provide the foundation of a companion paper that reports the acoustic properties and optimization of a two-resonator PA cell used commonly in aerosol research.en_GB
dc.description.sponsorshipDefence Science and Technology Laboratory (DSTL)en_GB
dc.description.sponsorshipRoyal Society of Chemistryen_GB
dc.description.sponsorshipAnalytical Chemistry Trust Funden_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.identifier.citationVol. 53 (10), pp. 1107-1127
dc.identifier.doi10.1080/02786826.2019.1650161
dc.identifier.grantnumberMR/J008893/1en_GB
dc.identifier.grantnumberNE/L013797/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/38396
dc.language.isoenen_GB
dc.publisherTaylor & Francisen_GB
dc.rights© 2019 The Author(s). Published with license by Taylor & Francis Group, LLC This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_GB
dc.titleOptimizing the Performance of Aerosol Photoacoustic Cells using a Finite Element Model. Part 1: Method Validation and Application to Single-Resonator Multipass Cellsen_GB
dc.typeArticleen_GB
dc.date.available2019-08-20T09:05:09Z
dc.identifier.issn0278-6826
dc.descriptionThis is the final version. Available on open access from Taylor & Francis via the DOI in this recorden_GB
dc.descriptionData access statement: For data related to this paper, please contact Michael I. Cotterell (m.cotterell@exeter.ac.uk) or Justin M. Langridge (justin.langridge@metoffice.gov.uk).en_GB
dc.identifier.journalAerosol Science and Technologyen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-07-21
exeter.funder::Defence Science and Technology Laboratory (DSTL)en_GB
exeter.funder::Defence Science and Technology Laboratory (DSTL)en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-07-21
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-08-19T16:22:32Z
refterms.versionFCDAM
refterms.dateFOA2019-10-11T13:45:29Z
refterms.panelBen_GB


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© 2019 The Author(s). Published with license by Taylor & Francis Group, LLC
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits
unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © 2019 The Author(s). Published with license by Taylor & Francis Group, LLC This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.