Application of the New Logistic Model to Microbial Growth Prediction in Food
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概要
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Recently a microbial growth model, the new logistic model, which could precisely describe and predict microbial growth at various patterns of temperature, was developed by the author (Biocontrol Science, 15, 75-80, 2010). The author shows several software programs developed with the model in this review. First, a program that analyzes microbial growth data and generates growth curves fitted to the model was developed. Second, a growth prediction program for Escherichia coli, Staphylococcal aureus, and Vibrio paraheamoliticus exposed at various patterns of temperature was made based on experimental data. For V. paraheamoliticus a program for bacterial growth under environmental conditions including temperature, salt concentration, and pH was developed. These programs are available free at the Japan Food Industry Center. Furthermore, a method to estimate the temperature at various points on or inside a food exposed to a given temperature was developed by using the measured temperatures of two points on the surface of the food and the heat conduction law. Combining this method with the growth model, a system that predicts microbial growth in a food exposed to various temperature patterns was made. This system could be a prototype of an alert system for microbial food safety.
- 2011-06-10
著者
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Fujikawa Hiroshi
Laboratory Of Veterinary Public Health Faculty Of Agriculture Tokyo University Of Agriculture And Te
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Fujikawa Hiroshi
Laboratory Of Veterinary Public Health Faculty Of Agriculture Tokyo University Of Agriculture And Te
関連論文
- Application of the New Logistic Model to Microbial Growth Prediction in Food
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