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Campo DCValorIdioma
dc.creatorMartins, Wiaslan Figueiredo-
dc.creatorLonghi, Daniel Angelo-
dc.creatorMenezes, Natielle Maria Costa-
dc.creatorCamargo, Ana Paula Rosa da Silva-
dc.creatorLaurindo, João Borges-
dc.creatorAragão, Gláucia Maria Falcão de-
dc.date.accessioned2024-03-29T20:16:37Z-
dc.date.available2024-03-29-
dc.date.available2024-03-29T20:16:37Z-
dc.date.issued2016-08-12-
dc.citation.volume7pt_BR
dc.citation.spage37pt_BR
dc.citation.epage40pt_BR
dc.identifier.doidoi: 10.1016/j.profoo.2016.02.082pt_BR
dc.identifier.issn2211-601Xpt_BR
dc.identifier.urihttps://repositorio.ifgoiano.edu.br/handle/prefix/4440-
dc.description.abstractThe lactic acid bacteria (LAB) are among the main spoilage microorganisms of foods, and the Weissella viridescens (formerly Lactobacillus viridescens) is well known to cause deterioration on the meat surface in vacuum packed meat products, even under refrigerated conditions. Therefore, this study evaluated the predictive ability of Baranyi and Roberts dynamic model to describe W. viridescens growth in culture medium (which simulates a food rich in nutrients), subjected to dynamic temperature conditions. Baranyi and Roberts primary model was fitted to the growth curves of W. viridescens in culture medium under six different isothermal temperatures (4, 8, 12, 16, 20 and 30°C) previously obtained in our laboratory. Four secondary models (linear, square root, exponential and Arrhenius type) were assessed to describe the influence of temperature on the growth parameters. The square root was the best model to describe temperature influence on μmax parameter. For Ymax parameter, the secondary model was considered the mean values obtained experimentally in the studied temperature range. Experimental data were used to evaluate the model predictions under dynamic conditions for two different temperature profiles, NIP-1 (12-16-20-25°C) and NIP-2 (16-12-8-4°C). According to the statistical indexes, the model showed better predictive ability for NIP-1, with RMSE of 0.3341, R2 of 0.9939, bias factor of 1.0046 and accuracy factor of 1.0197; the growth of W. viridescens under NIP-2 conditions was underestimated, indicating a fail dangerous prediction. The results showed that the predictive model can be used to predict the shelf life of meat products spoiled by W. viridescens.pt_BR
dc.description.resumoThe lactic acid bacteria (LAB) are among the main spoilage microorganisms of foods, and the Weissella viridescens (formerly Lactobacillus viridescens) is well known to cause deterioration on the meat surface in vacuum packed meat products, even under refrigerated conditions. Therefore, this study evaluated the predictive ability of Baranyi and Roberts dynamic model to describe W. viridescens growth in culture medium (which simulates a food rich in nutrients), subjected to dynamic temperature conditions. Baranyi and Roberts primary model was fitted to the growth curves of W. viridescens in culture medium under six different isothermal temperatures (4, 8, 12, 16, 20 and 30°C) previously obtained in our laboratory. Four secondary models (linear, square root, exponential and Arrhenius type) were assessed to describe the influence of temperature on the growth parameters. The square root was the best model to describe temperature influence on μmax parameter. For Ymax parameter, the secondary model was considered the mean values obtained experimentally in the studied temperature range. Experimental data were used to evaluate the model predictions under dynamic conditions for two different temperature profiles, NIP-1 (12-16-20-25°C) and NIP-2 (16-12-8-4°C). According to the statistical indexes, the model showed better predictive ability for NIP-1, with RMSE of 0.3341, R2 of 0.9939, bias factor of 1.0046 and accuracy factor of 1.0197; the growth of W. viridescens under NIP-2 conditions was underestimated, indicating a fail dangerous prediction. The results showed that the predictive model can be used to predict the shelf life of meat products spoiled by W. viridescens.pt_BR
dc.description.provenanceSubmitted by Wiaslan Figueiredo Martins (wiaslan.martins@ifgoiano.edu.br) on 2024-03-29T19:40:21Z No. of bitstreams: 1 Martins et al. (2016) - Predicting Growth of Weissella Viridescens in Culture Medium under Dynamic Temperature Conditions.pdf: 231240 bytes, checksum: 8a23286cbdd8076306dbed3a9e635d9b (MD5)en
dc.description.provenanceApproved for entry into archive by Johnathan Diniz (johnathan.diniz@ifgoiano.edu.br) on 2024-03-29T20:14:00Z (GMT) No. of bitstreams: 1 Martins et al. (2016) - Predicting Growth of Weissella Viridescens in Culture Medium under Dynamic Temperature Conditions.pdf: 231240 bytes, checksum: 8a23286cbdd8076306dbed3a9e635d9b (MD5)en
dc.description.provenanceMade available in DSpace on 2024-03-29T20:16:37Z (GMT). No. of bitstreams: 1 Martins et al. (2016) - Predicting Growth of Weissella Viridescens in Culture Medium under Dynamic Temperature Conditions.pdf: 231240 bytes, checksum: 8a23286cbdd8076306dbed3a9e635d9b (MD5) Previous issue date: 2016-08-12en
dc.languageengpt_BR
dc.publisherInstituição extra IF Goianopt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.initialsInstituição extra IF Goianopt_BR
dc.relation.ispartofProcedia Food Sciencept_BR
dc.rightsAcesso Abertopt_BR
dc.subjectMathematical modelingpt_BR
dc.subjectDynamic temperaturept_BR
dc.subjectMicrobial growthpt_BR
dc.subject.cnpqCIENCIAS AGRARIAS::CIENCIA E TECNOLOGIA DE ALIMENTOS::ENGENHARIA DE ALIMENTOSpt_BR
dc.titlePREDICTING GROWTH OF WEISSELLA VIRIDESCENS IN CULTURE MEDIUM UNDER DYNAMIC TEMPERATURA CONDITIONSpt_BR
dc.typeArtigo de Periódicopt_BR
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