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A Quantitative Risk Assessment Model for Listeria monocytogenes in Non-Ready-to-Eat Frozen Vegetables

2024Journal article Open access
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dc.contributor.authorGonzales-Barron, Ursula
dc.contributor.authorPouillot, Régis
dc.contributor.authorMota, Juliana de Oliveira
dc.contributor.authorHasegawa, Akio
dc.contributor.authorAllende, Ana
dc.contributor.authorDong, Qingli
dc.contributor.authorStasiewicz, Matthew J.
dc.contributor.authorKovacevic, Jovana
dc.contributor.authorCadavez, Vasco
dc.contributor.authorGuillier, Laurent
dc.contributor.authorSanaa, Moez
dc.date.accessioned2024-12-20T16:32:19Z
dc.date.available2024-12-20T16:32:19Z
dc.date.issued2024
dc.description.abstractA quantitative risk assessment (QRA) model was developed to evaluate the risk of invasive listeriosis from the consumption of non-ready-to-eat (non-RTE) frozen vegetables. On a lot basis, the QRA model simulates Listeria monocytogenes concentration and prevalence in a “Processing module” that comprises blanching, potential recontamination and packaging, any post-packaging inactivation treatment, and within-lot end-product testing and in a subsequent “Consumer’s handling module” that encompasses portioning of frozen vegetables, defrosting, and cooking. Based on available published data, the model was coded in nine sequential R functions designed to assess the effectiveness of blanching, the improvement in processing environment hygiene, the implementation of sampling schemes at the end of processing, and improved consumer instructions on the product’s package. In a reference scenario, the model estimated that 9.4% of 500 g packages of frozen vegetables would be contaminated, although at mean levels lower than 10 CFU/g, and assuming that 20% of the portions of frozen vegetables would be left to thaw at room temperature for 2 h, the lot-level mean risk of listeriosis in the susceptible population would be 2.935 × 10−14 (median 5.446 × 10−15) for uncooked 50 g servings and 2.765 × 10−17 (median 5.184 × 10−18) for cooked 50 g servings. Analysis of selected scenarios suggested that not cooking the non-RTE product contributes to the risk to a greater extent than the level of contamination in the incoming raw vegetables, the latter in turn being more influential than the level of contamination in the processing environment. The QRA model is freely available as an R package with full documentation and can be used as a tool to inform the consideration of strengthened risk management measures in view of the current changes in consumer behavior and new diet trends.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGonzales-Barron, Ursula; Pouillot, Régis; Mota, Juliana de Oliveira; Hasegawa, Akio; Allende, Ana; Dong, Qingli; Stasiewicz, Matthew J.; Kovacevic, Jovana; Cadavez, Vasco; Guillier, Laurent; Sanaa, Moez (2024). A Quantitative Risk Assessment Model for Listeria monocytogenes in Non-Ready-to-Eat Frozen Vegetables. Foods. ISSN 2304-8158. 13:22, p. 1-28pt_PT
dc.identifier.doi10.3390/foods13223610pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/30774
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectFrozen producept_PT
dc.subjectBlanched vegetablespt_PT
dc.subjectListeriosispt_PT
dc.subjectExposure assessmentpt_PT
dc.subjectSimulationpt_PT
dc.titleA Quantitative Risk Assessment Model for Listeria monocytogenes in Non-Ready-to-Eat Frozen Vegetablespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage28pt_PT
oaire.citation.issue22pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleFoodspt_PT
oaire.citation.volume13pt_PT
person.familyNameGonzales-Barron
person.familyNameCadavez
person.givenNameUrsula
person.givenNameVasco
person.identifierR-000-HDG
person.identifier.ciencia-id0813-C319-B62A
person.identifier.ciencia-id441B-01AB-A12E
person.identifier.orcid0000-0002-8462-9775
person.identifier.orcid0000-0002-3077-7414
person.identifier.ridA-3958-2010
person.identifier.scopus-author-id9435483700
person.identifier.scopus-author-id9039121900
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication17c6b98f-4fb5-41d3-839a-6f77ec70021a
relation.isAuthorOfPublication57b410e9-f6b7-42ff-ab3d-b526278715eb
relation.isAuthorOfPublication.latestForDiscovery57b410e9-f6b7-42ff-ab3d-b526278715eb

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