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A Quantitative Risk Assessment Model for Listeria monocytogenes in Ready-to-Eat Cantaloupe

2025Journal article Open access
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datacite.subject.fosCiências Médicas::Ciências da Saúde
datacite.subject.fosCiências Médicas::Outras Ciências Médicas
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorGuillier, Laurent
dc.contributor.authorGonzales-Barron, Ursula
dc.contributor.authorPouillot, Régis
dc.contributor.authorMota, Juliana De Oliveira
dc.contributor.authorAllende, Ana
dc.contributor.authorKovacevic, Jovana
dc.contributor.authorGuldimann, Claudia
dc.contributor.authorFazil, Aamir
dc.contributor.authorAl-Qadiri, Hamzah
dc.contributor.authorDong, Qingli
dc.contributor.authorHasegawa, Akio
dc.contributor.authorCadavez, Vasco
dc.contributor.authorSanaa, Moez
dc.date.accessioned2025-11-14T14:52:48Z
dc.date.available2025-11-14T14:52:48Z
dc.date.issued2025
dc.description.abstractThis study introduces a farm-to-fork quantitative risk assessment (QRA) model for invasive listeriosis from ready-to-eat diced cantaloupe. The modular model comprises seven stages-preharvest (soil and irrigation contamination), harvest (cross-contamination and survival), pre-processing (brushing), processing (flume tank washing, dicing and equipment cross-contamination), lot testing, cold-chain transport and retail growth, and consumer storage/handling. Each stage employs stochastic functions to simulate microbial prevalence and concentration changes (growth, inactivation, removal, partitioning, cross-contamination) using published data. In a reference scenario-good agricultural practices (soil barriers, no preharvest irrigation), hygienic processing and proper cold storage-the model predicts low lot- and pack-level contamination, with few packs >10 CFU/g and most servings below detection; the mean risk per serving is very low. "What-if" analyses highlight critical control points: the absence of soil barriers with preharvest irrigation can increase the risk by 10,000-fold; flume tank water contamination has a greater impact than harvest-stage cross-contamination; and poor consumer storage can raise the risk by up to 500-fold. This flexible QRA framework enables regulators and industry to evaluate and optimize interventions-from improved agricultural measures to targeted sampling plans and consumer guidance-to mitigate listeriosis risk from RTE diced cantaloupe.eng
dc.description.sponsorshipThis research was funded by the European Commission Directorate-General for Health and Food Safety (DG Sante).
dc.identifier.citationGuillier, Laurent; Gonzales-Barron, Ursula; Pouillot, Régis; Mota, Juliana De Oliveira; Allende, Ana; Kovacevic, Jovana; Guldimann, Claudia; Fazil, Aamir; Al-Qadiri, Hamzah; Dong, Qingli; Hasegawa, Akio; Cadavez, Vasco; Sanaa, Moez (2025). A Quantitative Risk Assessment Model for Listeria monocytogenes in Ready-to-Eat Cantaloupe. International Journal of Food Sciences and Nutrition. ISSN 2304-8158. 14:13, p. 1-34
dc.identifier.doi10.3390/foods14132212
dc.identifier.issn2304-8158
dc.identifier.urihttp://hdl.handle.net/10198/35073
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relation.ispartofFoods
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectMelon
dc.subjectPrimary production
dc.subjectListeriosis
dc.subjectExposure assessment
dc.subjectSimulation
dc.titleA Quantitative Risk Assessment Model for Listeria monocytogenes in Ready-to-Eat Cantaloupeeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage34
oaire.citation.issue13
oaire.citation.startPage1
oaire.citation.titleFoods
oaire.citation.volume14
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
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
relation.isAuthorOfPublication17c6b98f-4fb5-41d3-839a-6f77ec70021a
relation.isAuthorOfPublication57b410e9-f6b7-42ff-ab3d-b526278715eb
relation.isAuthorOfPublication.latestForDiscovery17c6b98f-4fb5-41d3-839a-6f77ec70021a

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