Predictive models as means to quantify the interactions of spoilage organisms
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DOLU 08/25/2015
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
Value-ModelInput0 temp+Min: 2
Value-ModelInput1 temp+Max: 11
Value-ModelInput2 temp+Unit: �C
Value-ModelInput3 pH+Min: 5.2
Value-ModelInput4 pH+Max: 6.4
Value-ModelInput5 pH+Unit: -
system:type OpenFSMR
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Author taras_guenther
Last Updated 2 April 2019, 04:02 (CEST)
Created 2 April 2019, 04:02 (CEST)