Predictive models as means to quantify the interactions of spoilage organisms
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Additional Info
| Field | Value |
|---|---|
| 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 | Acinetobacter spp. |
| 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 | 418 |
| Software-PredictionConditions | Static / Dynamic |
| system:type | OpenFSMR |
Management Info
| Field | Value |
|---|---|
| Author | taras_guenther |
| Last Updated | 9 December 2019, 15:53 (CET) |
| Created | 9 December 2019, 15:53 (CET) |