Predictive models as means to quantify the interactions of spoilage organisms
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Additional Info
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DOLU 03/29/2019
Model-Creator GroPIN
Model-DependenVariableUnits h-1
Model-DependentVariables Rate
Model-InpendenVariables pH, temp
Model-Notes T, pH || T(oC), pH
Model-ReferenceDescription Pin, C., Baranyi, J., 1998. Predictive models as means to quantify the interactions of spoilage organisms. International Journal of Food Microbiology, 41, 59-72
Model-Type Growth
PMF-Environment Tryptic Soy Broth
PMF-Environment-Details Culture Medium
PMF-Organism Brochothrix thermosphacta
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 425
Software-PredictionConditions Static / Dynamic
system:type OpenFSMR
Management Info
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Author taras_guenther
Last Updated 17 September 2019, 14:34 (CEST)
Created 17 September 2019, 14:34 (CEST)