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Feasibility study on the use of probabilistic migration modeling in support of exposure assessment from food contact materials

dc.contributor.authorPoças, Maria F.
dc.contributor.authorOliveira, Jorge C.
dc.contributor.authorBrandsch, Rainer
dc.contributor.authorHogg, Tim
dc.date.accessioned2012-01-12T10:38:24Z
dc.date.available2012-01-12T10:38:24Z
dc.date.issued2010
dc.description.abstractThe use of probabilistic approaches in exposure assessments of contaminants migrating from food packages is of increasing interest but the lack of concentration or migration data is often referred as a limitation. Data accounting for the variability and uncertainty that can be expected in migration, for example, due to heterogeneity in the packaging system, variation of the temperature along the distribution chain, and different time of consumption of each individual package, are required for probabilistic analysis. The objective of this work was to characterize quantitatively the uncertainty and variability in estimates of migration. AMonte Carlo simulation was applied to a typical solution of the Fick’s law with given variability in the input parameters. The analysis was performed based on experimental data of a model system (migration of Irgafos 168 from polyethylene into isooctane) and illustrates how important sources of variability and uncertainty can be identified in order to refine analyses. For long migration times and controlled conditions of temperature the affinity of the migrant to the food can be the major factor determining the variability in the migration values (more than 70% of variance). In situations where both the time of consumption and temperature can vary, these factors can be responsible, respectively, for more than 60% and 20% of the variance in the migration estimates. The approach presented can be used with databases from consumption surveys to yield a true probabilistic estimate of exposure.por
dc.description.versioninfo:eu-repo/semantics/acceptedVersion
dc.identifier.citationPOÇAS, Maria F... [et al.] - Feasibility study on the use of probabilistic migration modeling in support of exposure assessment from food contact materials. Risk Analysis. ISSN 0272-4332. Vol. 30, n.º 7 (2010), p. 1052-1061por
dc.identifier.doi10.1111/j.1539-6924.2010.01394.x
dc.identifier.eissn1539-6924
dc.identifier.issn0272-4332
dc.identifier.urihttp://hdl.handle.net/10400.14/7412
dc.identifier.wosWOS:000279939700008
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherWileypor
dc.subjectExposure assessmentpor
dc.subjectFood packagingpor
dc.subjectMigrationpor
dc.subjectProbabilistic modelingpor
dc.titleFeasibility study on the use of probabilistic migration modeling in support of exposure assessment from food contact materialspor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1061
oaire.citation.issue7
oaire.citation.startPage1052
oaire.citation.volume30
person.familyNamePoças
person.familyNameOliveira
person.familyNameHogg
person.givenNameMaria de Fátima
person.givenNameJorge
person.givenNameTim
person.identifier.ciencia-id1513-5F90-0B67
person.identifier.ciencia-idFF11-88CC-8BD4
person.identifier.orcid0000-0002-6598-6515
person.identifier.orcid0000-0002-0680-6174
person.identifier.orcid0000-0003-2017-4131
person.identifier.ridC-2642-2008
person.identifier.ridJXY-0365-2024
person.identifier.scopus-author-id15127714500
person.identifier.scopus-author-id7202452289
person.identifier.scopus-author-id7005603860
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicationdca9a545-c7be-41fd-802b-b608d9d240eb
relation.isAuthorOfPublication5227bcfa-cb99-407e-a2ef-3f4eb86d4243
relation.isAuthorOfPublication12b8092d-fe59-408b-8058-47369a97d229
relation.isAuthorOfPublication.latestForDiscovery5227bcfa-cb99-407e-a2ef-3f4eb86d4243

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