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dc.creatorGonçalves, Letícia Dias dos Anjos-
dc.creatorPiccoli, Roberta Hilsdorf-
dc.creatorPeres, Alexandre de Paula-
dc.creatorSaúde, André Vital-
dc.date.accessioned2018-07-03T11:33:02Z-
dc.date.available2018-07-03T11:33:02Z-
dc.date.issued2017-
dc.identifier.citationGONÇALVES, L. D. dos A. et al. Predictive modeling of Pseudomonas fluorescens growth under different temperature and pH values. Brazilian Journal of Microbiology, São Paulo, v. 48, n. 2, Apr./June 2017.pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/29531-
dc.description.abstractMeat is one of the most perishable foods owing to its nutrient availability, high water activity, and pH around 5.6. These properties are highly conducive for microbial growth. Fresh meat, when exposed to oxygen, is subjected to the action of aerobic psychrotrophic, proteolytic, and lipolytic spoilage microorganisms, such as Pseudomonas spp. The spoilage results in the appearance of slime and off-flavor in food. In order to predict the growth of Pseudomonas fluorescens in fresh meat at different pH values, stored under refrigeration, and temperature abuse, microbial mathematical modeling was applied. The primary Baranyi and Roberts and the modified Gompertz models were fitted to the experimental data to obtain the growth parameters. The Ratkowsky extended model was used to determine the effect of pH and temperature on the growth parameter µmax. The program DMFit 3.0 was used for model adjustment and fitting. The experimental data showed good fit for both the models tested, and the primary and secondary models based on the Baranyi and Roberts models showed better validation. Thus, these models can be applied to predict the growth of P. fluorescens under the conditions tested.pt_BR
dc.languageen_USpt_BR
dc.publisherSociedade Brasileira de Microbiologiapt_BR
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rightsacesso abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceBrazilian Journal of Microbiologypt_BR
dc.subjectMeatpt_BR
dc.subjectDeteriorationpt_BR
dc.subjectModelingpt_BR
dc.titlePredictive modeling of Pseudomonas fluorescens growth under different temperature and pH valuespt_BR
dc.typeArtigopt_BR
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