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Effect of temperature, water-phase salt and phenolic contents on Listeria monocytogenes growth rates on cold-smoked salmon and evaluation of secondary models ArchiMer
Cornu, M; Beaufort, A; Rudelle, S; Laloux, L; Bergis, H; Miconnet, N; Serot, Thierry; Delignette Muller, M.
Salting and smoking are ancient processes for fish preservation. The effects of salt and phenolic smoke compounds on the growth rate of L. monocytogenes in cold-smoked salmon were investigated through physico-chemical analyses, challenge tests on surface of cold-smoked salmon at 4 degrees C and 8 degrees C, and a survey of the literature. Estimated growth rates were compared to predictions of existing secondary models, taking into account the effects of temperature, water phase salt content, phenolic content, and additional factors (e.g. pH, lactate, dissolved CO2). The secondary model proposed by Devlieghere et al. [Devlieghere, F., Geeraerd, A.H., Versyck, K.J., Vandewaetere, B., van Impe, J., Debevere, J., 2001. Growth of Listeria monocytogenes in...
Tipo: Text Palavras-chave: Phenolic compounds; Validation criteria; Microbial exposure assessment; Predictive microbiology; L. monocytogenes; Fishery products.
Ano: 2006 URL: http://archimer.ifremer.fr/doc/2006/publication-3953.pdf
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Modelling the growth of lactic acid bacteria at different temperatures BABT
Silva,Ana Paula Rosa da; Longhi,Daniel Angelo; Dalcanton,Francieli; Aragão,Gláucia Maria Falcão de.
ABSTRACT Mathematical models are widely used to predict the shelf life of foods. Lactic acid bacteria (LAB), particularly Lactobacillus plantarum, Weissella viridescens and Lactobacillus sakei, are the main spoilage bacteria of refrigerated, vacuum-packed meat products, stored in modified atmosphere, and their growth determines the shelf life length of these products. The objective of this study was to model the growth of L. plantarum, W. viridescens and L. sakei under different isothermal cultivation conditions and establish secondary models to describe the effect of temperature on the growth parameters of these bacteria. The LAB growth was evaluated in culture medium at temperatures of 4, 8, 12, 16, 20 and 30 ºC. The fit of Baranyi and Roberts (BAR) and...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Predictive microbiology; Shelf life; Bacterial spoilage.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132018000100411
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Modeling the pressure inactivation dynamics of Escherichia coli BJMBR
Yamamoto,K.; Matsubara,M.; Kawasaki,S.; Bari,M.L.; Kawamoto,S..
Escherichia coli, as a model microorganism, was treated in phosphate-buffered saline under high hydrostatic pressure between 100 and 300 MPa, and the inactivation dynamics was investigated from the viewpoint of predictive microbiology. Inactivation data were curve fitted by typical predictive models: logistic, Gompertz and Weibull functions. Weibull function described the inactivation curve the best. Two parameters of Weibull function were calculated for each holding pressure and their dependence on holding pressure was obtained by interpolation. With the interpolated parameters, inactivation curves were simulated and compared with the experimental data sets.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Predictive microbiology; Pressure; Escherichia coli; Inactivation; Model.
Ano: 2005 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2005000800014
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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
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Validation of a predictive model describing growth of Salmonella in enteral feeds BJM
Silva,Roberta Ribeiro; Moraes,Célia Alencar; Bessan,Josefina; Vanetti,Maria Cristina Dantas.
The growth of Salmonella enterica subs. enterica sorovar Typhimurium at 25°C was monitored in industrialized and hospital formulated enteral feeds and the results were used to validate the mathematical model of Salmonella growth presented by the Pathogen Modeling Program (PMP) 7.0 (USDA-USA). The generation time of Salmonella in enteral feeds ranged from 21 to 34.8 min and, the maximum growth rate (µmax) varied from 1.28 to 1.95 h-1, resulting in a population increase from 5 to 6 log10 cycles within 14 to 24 h incubation. Growth was faster in the hospital formulated feed containing vegetables and eggs. The growth kinetic's parameters as lag phase; µmax and maximum population density (MPD) were similar to those predicted by the PMP 7.0, with exception of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Predictive microbiology; Salmonella growth; Enteral diets.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822009000100026
Registros recuperados: 5
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