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Simplified Approach to Predict Food Safety through the Maximum Specific Bacterial Growth Rate as Function of Extrinsic and Intrinsic Parameters

2021Journal article Open access
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dc.contributor.authorGaspar, Pedro Dinis
dc.contributor.authorAlves, Joel
dc.contributor.authorPinto, Pedro Miguel Moreira
dc.date.accessioned2022-03-30T09:56:42Z
dc.date.available2022-03-30T09:56:42Z
dc.date.issued2021
dc.description.abstractCurrently, we assist the emergence of sensors and low-cost information and communication technologies applied to food products, in order to improve food safety and quality along the food chain. Thus, it is relevant to implement predictive mathematical modeling tools in order to predict changes in the food quality and allow decision-making for expiration dates. To perform that, the Baranyi and Roberts model and the online tool Combined Database for Predictive Microbiology (Combase) were used to determine the factors that define the growth of different bacteria. These factors applied to the equation that determines the maximum specific growth rate establish a relation between the bacterial growth and the intrinsic and extrinsic factors that define the bacteria environment. These models may be programmed in low-cost wireless biochemical sensor devices applied to packaging and food supply chains to promote food safety and quality through real time traceability.pt_PT
dc.description.sponsorshipP.D.G. acknowledges Fundação para a Ciência e a Tecnologia (FCT—MCTES) for its financial support via the project UIDB/00151/2020 (C-MAST).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/chemengineering5020022pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/12137
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationCentre for Mechanical and Aerospace Science and Technologies
dc.relation.publisherversionhttps://www.mdpi.com/2305-7084/5/2/22pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectFood safetypt_PT
dc.subjectPredictive modelpt_PT
dc.subjectMicrobial growthpt_PT
dc.subjectLow-cost wireless biochemical sensor devicespt_PT
dc.titleSimplified Approach to Predict Food Safety through the Maximum Specific Bacterial Growth Rate as Function of Extrinsic and Intrinsic Parameterspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre for Mechanical and Aerospace Science and Technologies
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00151%2F2020/PT
oaire.citation.issue2pt_PT
oaire.citation.startPage22pt_PT
oaire.citation.titleChemEngineeringpt_PT
oaire.citation.volume5pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameGaspar
person.familyNameAlves
person.givenNamePedro Dinis
person.givenNameJoel
person.identifier1587317
person.identifier.ciencia-id6111-9F05-2916
person.identifier.orcid0000-0003-1691-1709
person.identifier.orcid0000-0003-0337-3163
person.identifier.ridN-3016-2013
person.identifier.ridABN-5146-2022
person.identifier.scopus-author-id57419570900
person.identifier.scopus-author-id57224008789
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationb69e2ba0-43af-4cf7-873e-090fd9fc6c94
relation.isAuthorOfPublication0591ba28-37a6-4931-926d-068fd5391dc0
relation.isAuthorOfPublication.latestForDiscovery0591ba28-37a6-4931-926d-068fd5391dc0
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relation.isProjectOfPublication.latestForDiscoveryc1aeadcb-d7fa-4d70-959a-2447dc0b2276

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