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dc.contributor.authorRubio-Lopez, Fernando-
dc.contributor.authorTaniwaki, Marta-
dc.contributor.authorMorris, Jonathan-
dc.contributor.authorGarcia-Cela, Esther-
dc.contributor.otherPT_Br
dc.date.accessioned-
dc.date.accessioned2024-04-19T18:26:26Z-
dc.date.availablePT_Br
dc.date.available2024-04-19T18:26:26Z-
dc.date.copyright-
dc.date.issued2023-
dc.identifierPT_Br
dc.identifier.citationCurrent Opinion in Food Science, v. 54, p.101100, 2023. Disponível em: https://dpos.org/10.1016/j.cofs.2023.101100.pt_BR
dc.identifier.urihttp://repositorio.ital.sp.gov.br/jspui/handle/123456789/768-
dc.description.abstractCoffee is one of the most consumed beverages worldwide. Like other agricultural products, coffee is susceptible of colonization by mycotoxin-producing fungi and therefore, the presence of mycotoxins. These chemical hazards can pose a risk for consumers, as some of them are potentially carcinogenic, neurotoxic, or immunosuppressive. Several countries worldwide have established maximum legal limits on the final product regarding ochratoxin A (OTA), but this leads to inefficiencies in the coffee value chain, as there is uncertainty if a batch may be under the legal limits at the time of reaching the consumers. The application of Risk Management Metrics can be a useful tool for managers to forecast if a particular batch of coffee could be suitable for a determined target market. In this study, a cross-case analysis of the coffee production chain was performed, and quantitative thresholds were established along the different steps. This information can provide managers with up-to-date information regarding the potential use of each batch, minimizing food waste, assuring food safety, and improving chain efficiency.pt_BR
dc.formatPT_Br
dc.languagePT_Br
dc.language.isoenpt_BR
dc.publisherElsevierpt_BR
dc.rightsPT_Br
dc.sourcePT_Br
dc.titleApplication of Risk Management Metrics for ochratoxinA control in the coffee chainpt_BR
dc.typeArticlept_BR
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