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.
Fujikawa
Hiroshi
H
Tokyo University of Agriculture and Technology, Faculty of Agriculture, Department of Veterinary Medicine 3-5-8 Saiwai-cho, Fuchu, Tokyo 183-8509, Japan.
Kano
Yoshihiro
Y
D000818:Animals; D001419:Bacteria / Q000254:growth & development*; D003627:Data Interpretation, Statistical; D005516:Food Microbiology; D016015:Logistic Models; D008892:Milk / Q000382:microbiology; D008954:Models, Biological; D012984:Software; D013211:Staphylococcus aureus / Q000254:growth & development