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dc.contributor.advisorGibney, Mike
dc.contributor.authorGilsenan, Mary B.
dc.date.accessioned2017-05-15T14:26:20Z
dc.date.available2017-05-15T14:26:20Z
dc.date.issued2004
dc.identifier.citationMary B. Gilsenan, 'Application of probabilistic modelling to food chemical exposure assessments', [thesis], Trinity College (Dublin, Ireland). School of Medicine. Discipline of Clinical Medicine, 2004, pp 171
dc.identifier.otherTHESIS 7824
dc.description.abstractRisk assessment of food chemical intake is at the core of food safety policy within the EU and the assessment of food chemical exposure is an integral part of the risk assessment process. There is an increasing demand to improve current methods to assess food chemical exposure. The research presented in this thesis demonstrates the usefulness of a National Food Ingredient Database within the exposure assessment process and focuses thereafter on the application of probabilistic modelling to food chemical exposure assessments.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). School of Medicine. Discipline of Clinical Medicine
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb12393915
dc.subjectClinical Medicine, Ph.D.
dc.subjectPh.D. Trinity College Dublin
dc.titleApplication of probabilistic modelling to food chemical exposure assessments
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 171
dc.description.noteTARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie
dc.identifier.urihttp://hdl.handle.net/2262/80042


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