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pubmed-article:19579661pubmed:abstractTextRecently 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.lld:pubmed
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pubmed-article:19579661pubmed:authorpubmed-author:KanoYoshihiro...lld:pubmed
pubmed-article:19579661pubmed:authorpubmed-author:FujikawaHiros...lld:pubmed
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pubmed-article:19579661pubmed:year2009lld:pubmed
pubmed-article:19579661pubmed:articleTitleDevelopment of a program to fit data to a new logistic model for microbial growth.lld:pubmed
pubmed-article:19579661pubmed:affiliationTokyo University of Agriculture and Technology, Faculty of Agriculture, Department of Veterinary Medicine 3-5-8 Saiwai-cho, Fuchu, Tokyo 183-8509, Japan.lld:pubmed
pubmed-article:19579661pubmed:publicationTypeJournal Articlelld:pubmed
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