A predictive model for the influence of food components on survival of Listeria monocytogenes LM 54004 under high hydrostatic pressure and mild heat conditions
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DOLU 03/29/2019
Model-Creator GroPIN
Model-DependenVariableUnits log-reduction
Model-DependentVariables Concentration – Diff
Model-InpendenVariables bean_oil, pH, soybean_protein, sucrose
Model-Notes pH, SoyBean protein, Bean Oil, Sucrose || Eq.3. SoyBean protein (%), Bean Oil (%), Sucrose (%)
Model-ReferenceDescription Gao, Y-L., Ju, X-R., Ding, W., 2007. A predictive model for the influence of food components on survival of Listeria monocytogenes LM 54004 under high hydrostatic pressure and mild heat conditions. International Journal of Food Microbiology, 117,287–294
Model-Type Inactivation
PMF-Environment Tryptic Soy Agar Plus Yeast extract
PMF-Environment-Details Culture Medium
PMF-Organism Listeria monocytogenes
Software GroPIN
Software-Accessibility Public / Local installation
Software-Link http://www.aua.gr/psomas/gropin/
Software-Modeling Yes, if parameters are provided by user
Software-Notes 458
Software-PredictionConditions Static
system:type OpenFSMR
Management Info
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Author taras_guenther
Last Updated 17 September 2019, 14:00 (CEST)
Created 17 September 2019, 14:00 (CEST)