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	Provedor de dados Ciênc. Tecnol. Aliment. (1) BJM (1) Autor Galvão,Alessandro Cazonatto (2) Robazza,Weber da Silva (2) Decker,Marcelo (1) Gomes,Gilmar de Almeida (1) Teleken,Jhony Tiago (1) Palavra-chave Predictive microbiology (2) Clostridium perfringens (1) Dynamical temperature profile (1) Non-isothermal regimens (1) Richards model (1) Tipo do documento Info:eu-repo/semantics/article (2) Ano 2018 (1) 2013 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Use of modified Richards model to predict isothermal and non-isothermal microbial growth BJM Teleken,Jhony Tiago; Galvão,Alessandro Cazonatto; Robazza,Weber da Silva. Abstract Mathematical models are often used to predict microbial growth in food products. An important class of these models involves the adaptation of classical sigmoid functions, such as the Gompertz and logistic functions. This study aimed to validate the use of the modified Richards model in various situations, which have not previously been tested. The model was obtained through solving a system of two differential equations and could be applied to both isothermal and non-isothermal environments. To test and validate this model, we used published datasets containing data for the growth of Pseudomonas spp. in fish products. The results obtained after fitting the model showed that it could be effectively used to describe and predict the Pseudomonas... Tipo: Info:eu-repo/semantics/article Palavras-chave: Richards model; Predictive microbiology; Non-isothermal regimens. Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822018000300614 Evaluation of a new mathematical model to describe Clostridium perfringens growth during the cooling of cooked ground beef Ciênc. Tecnol. Aliment. Decker,Marcelo; Gomes,Gilmar de Almeida; Galvão,Alessandro Cazonatto; Robazza,Weber da Silva. A mathematical model previously developed to study microbial growth in food products under an isothermal environment was adapted to a time-varying temperature regime. The resulting model was applied to study the growth of Clostridium perfringens in meat products. This micro-organism is of particular relevance to public health and economy due to the loss of productivity caused by it. Results showed a similar performance of the model used compared to the Baranyi model under an isothermal situation and a slightly better performance under a non-isothermal temperature profile. Tipo: Info:eu-repo/semantics/article Palavras-chave: Clostridium perfringens; Predictive microbiology; Dynamical temperature profile. Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612013000300019 Registros recuperados: 2 Primeira ... 1 ... Última

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