Data/hora: 16/06/2024 01:04:51

Provedor de dados: 	58	
País: 	Brazil	
Título: 	Use of modified Richards model to predict isothermal and non-isothermal microbial growth	
Autores: 	Teleken,Jhony Tiago; Galvão,Alessandro Cazonatto; Robazza,Weber da Silva.	
Data: 	2018-09-01	
Ano: 	2018	
Palavras-chave: 	Richards model; Predictive microbiology; Non-isothermal regimens.	
Resumo: 	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 growth curves under various temperature regimens. However, the influence of the shape parameter on the growth curve is an issue that needs further evaluation.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822018000300614	
Editor: 	Sociedade Brasileira de Microbiologia	
Relação: 	10.1016/j.bjm.2018.01.005	
Formato: 	text/html	
Fonte: 	Brazilian Journal of Microbiology  v.49 n.3 2018	
Fonte: 	info:eu-repo/semantics/openAccess