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	Provedor de dados Ciênc. Tecnol. Aliment. (1) BJM (1) Autor Robazza,Weber da Silva (2) Teleken,Jhony Tiago (2) Galvão,Alessandro Cazonatto (1) Gomes,Gilmar de Almeida (1) Palavra-chave Predictive microbiology (2) Dairy products (1) Food safety (1) Non-isothermal regimens (1) Richards model (1) Tipo do documento Info:eu-repo/semantics/article (2) Ano 2018 (1) 2011 (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 Mathematical modeling of microbial growth in milk Ciênc. Tecnol. Aliment. Teleken,Jhony Tiago; Robazza,Weber da Silva; Gomes,Gilmar de Almeida. A mathematical model to predict microbial growth in milk was developed and analyzed. The model consists of a system of two differential equations of first order. The equations are based on physical hypotheses of population growth. The model was applied to five different sets of data of microbial growth in dairy products selected from Combase, which is the most important database in the area with thousands of datasets from around the world, and the results showed a good fit. In addition, the model provides equations for the evaluation of the maximum specific growth rate and the duration of the lag phase which may provide useful information about microbial growth. Tipo: Info:eu-repo/semantics/article Palavras-chave: Predictive microbiology; Dairy products; Food safety. Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612011000400010 Registros recuperados: 2 Primeira ... 1 ... Última

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