期刊
BIOCONTROL SCIENCE
卷 14, 期 2, 页码 83-86出版社
SOC ANTIBACTERIAL & ANTIFUNGAL AGENTS, JAPAN
DOI: 10.4265/bio.14.83
关键词
Fitting program; Logistic model; Predictive model; 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 (R). 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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