2014
DOI: 10.1128/aem.03791-13
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Predicting the Concentration of Verotoxin-Producing Escherichia coli Bacteria during Processing and Storage of Fermented Raw-Meat Sausages

Abstract: A model to predict the population density of verotoxigenic Escherichia coli (VTEC) throughout the elaboration and storage of fermented raw-meat sausages (FRMS) was developed. Probabilistic and kinetic measurement data sets collected from publicly available resources were completed with new measurements when required and used to quantify the dependence of VTEC growth and inactivation on the temperature, pH, water activity (a w ), and concentration of lactic acid. Predictions were compared with observations in V… Show more

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Cited by 10 publications
(3 citation statements)
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“…A dynamic model to predict VTEC concentration throughout manufacturing and storage of fermented raw meat sausages has been developed by Quinto et al [288]. The model is implemented in a tool called E. coli SafeFerment (EcSF), available at http://www.ifr.ac.uk/safety/EcoliSafeFerment.…”
Section: Mathematical Models For Predicting Survival Of Pathogens In Dfsmentioning
confidence: 99%
“…A dynamic model to predict VTEC concentration throughout manufacturing and storage of fermented raw meat sausages has been developed by Quinto et al [288]. The model is implemented in a tool called E. coli SafeFerment (EcSF), available at http://www.ifr.ac.uk/safety/EcoliSafeFerment.…”
Section: Mathematical Models For Predicting Survival Of Pathogens In Dfsmentioning
confidence: 99%
“…The computing tool was named EcSF (E. coli safeFerment), and it is freely available. The developers argued that EcSF could be a reliable computational method to monitor the FRMS during processing and storage [56].…”
Section: Detection Methodsmentioning
confidence: 99%
“…However, for ST, the model provides faildangerous predictions (inactivation), while growth or no change of L. monocytogenes was observed. According to meta-analyses performed by several authors regarding the inactivation rate of bacterial pathogens during sausage fermentation and ripening, the temperature explains most (60-80%) of the variability and, under growth-preventing conditions, determines the reduction of L. monocytogenes (Mataragas et al, 2015) and E. coli (Ross and Shadbolt, 2001;Ross et al, 2008;Quinto et al, 2014). In these studies, the influence of pH, a w or other specific factors (e.g., bacteriocins) cannot be discerned from the background noise of all collated data originating from a wide variety of experiments, including different types of products, processes, bacterial strains, etc.…”
Section: Simulation Of Listeria Monocytogenes Behavior Through Predic...mentioning
confidence: 99%