Development of a Program to Fit Data to a New Logistic Model for Microbial Growth
Copyright policy )Development of a Program to Fit Data to a New Logistic Model for Microbial Growth
Recently we developed a mathematical model for microbial growth in food. The model successfully predicted microbial growth at various patterns of temperature. In this study, we developed a program to fit data to the model with a spread sheet program, Microsoft Excel. Users can instantly get curves fitted to the model by inputting growth data and choosing the slope portion of a curve. The program also could estimate growth parameters including the rate constant of growth and the lag period. This program would be a useful tool for analyzing growth data and further predicting microbial growth.
Staphylococcus aureus, Bacteria, Fitting program, Logistic model, Microbial growth, Models, Biological, Logistic Models, Milk, Predictive model, Data Interpretation, Statistical, Food Microbiology, Animals, Software
Staphylococcus aureus, Bacteria, Fitting program, Logistic model, Microbial growth, Models, Biological, Logistic Models, Milk, Predictive model, Data Interpretation, Statistical, Food Microbiology, Animals, Software
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