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dc.contributor.authorMc Donnell, Patricia E.
dc.contributor.authorCoggins, Marie
dc.date.accessioned2013-11-29T17:44:50Z
dc.date.available2013-11-29T17:44:50Z
dc.date.issued2011-05-04
dc.identifier.citationMc Donnell, PE,Schinkel, JM,Coggins, MA,Fransman, W,Kromhout, H,Cherrie, JW,Tielemans, EL (2011) 'Validation of the inhalable dust algorithm of the Advanced REACH Tool using a dataset from the pharmaceutical industry'. Journal Of Environmental Monitoring, 13 :1597-1606.en_US
dc.identifier.issn1464-0325
dc.identifier.urihttp://hdl.handle.net/10379/3869
dc.descriptionJournal article (can archive publisher's version, per SHERPA: http://www.sherpa.ac.uk/romeo/issn/1464-0325/ )en_US
dc.description.abstractAs it is often difficult to obtain sufficient numbers of measurements to adequately characterise exposure levels, occupational exposure models may be useful tools in the exposure assessment process. This study aims to refine and validate the inhalable dust algorithm of the Advanced REACH Tool (ART) to predict airborne exposure of workers in the pharmaceutical industry. The ART was refined to reflect pharmaceutical situations. Largely task based workplace exposure data (n = 192) were collated from a multinational pharmaceutical company with exposure levels ranging from 5 [times] 10-5 to 12 mg m-3. Bias, relative bias and uncertainty around geometric mean exposure estimates were calculated for 16 exposure scenarios. For 12 of the 16 scenarios the ART geometric mean exposure estimates were lower than measured exposure levels with on average, a one-third underestimation of exposure (relative bias -32%). For 75% of the scenarios the exposure estimates were, within the 90% uncertainty factor of 4.4, as reported for the original calibration study, which may indicate more uncertainty in the ART estimates in this industry. While the uncertainty was higher than expected this is likely due to the limited number of measurements per scenario, which were largely derived from single premises.en_US
dc.description.sponsorshipGlaxoSmithKlineen_US
dc.formatapplication/pdfen_US
dc.language.isoenen_US
dc.publisherRSCen_US
dc.relation.ispartofJournal Of Environmental Monitoringen
dc.subjectOccupational exposureen_US
dc.subjectModelen_US
dc.subjectStoffenmanageren_US
dc.titleValidation of the inhalable dust algorithm of the Advanced REACH Tool using a dataset from the pharmaceutical industryen_US
dc.typeArticleen_US
dc.date.updated2013-11-26T11:03:40Z
dc.identifier.doiDOI 10.1039/c1em10189g
dc.local.publishedsourcehttp://dx.doi.org/10.1039/C1EM10189Gen_US
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|
dc.internal.rssid1051827
dc.local.contactMarie Coggins, School Of Physics, Room 212, Arts/Science Building, Nui Galway. 5056 Email: marie.coggins@nuigalway.ie
dc.local.copyrightcheckedNo
dc.local.versionACCEPTED
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