Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/29531
Título : Predictive modeling of Pseudomonas fluorescens growth under different temperature and pH values
Autor: Gonçalves, Letícia Dias dos Anjos
Piccoli, Roberta Hilsdorf
Peres, Alexandre de Paula
Saúde, André Vital
Palavras-chave: Meat
Deterioration
Modeling
Publicador: Sociedade Brasileira de Microbiologia
Data da publicação: 2017
Referência: GONÇALVES, 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.
Abstract: Meat 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.
URI: http://repositorio.ufla.br/jspui/handle/1/29531
Idioma: en_US
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DCC - Artigos publicados em periódicos

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