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Updated: Jun 21, 2026

Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins
Published on: June 11, 2015
Development of a program to fit data to a new logistic model for microbial growth
Hiroshi Fujikawa1, Yoshihiro Kano
1Tokyo University of Agriculture and Technology, Faculty of Agriculture, Department of Veterinary Medicine 3-5-8 Saiwai-cho, Fuchu, Tokyo 183-8509, Japan.
Abstract:
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.
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