Fujikawa Hiroshi
Laboratory of Veterinary Public Health, Faculty of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan.
Biocontrol Sci. 2011 Jun;16(2):47-54. doi: 10.4265/bio.16.47.
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, Staphylococcus aureus, and Vibrio paraheamolyticus [corrected] exposed at various patterns of temperature was made based on experimental data. For V. paraheamolyticus [corrected] 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.
最近，作者开发了一种微生物生长模型——新逻辑模型，它能够精确描述和预测微生物在各种温度模式下的生长情况（《生物防治科学》，第15卷，第75 - 80页，2010年）。作者在本综述中展示了基于该模型开发的几个软件程序。首先，开发了一个分析微生物生长数据并生成符合该模型的生长曲线的程序。其次，根据实验数据制作了一个针对暴露于各种温度模式下的大肠杆菌、金黄色葡萄球菌和副溶血性弧菌[已修正]的生长预测程序。对于副溶血性弧菌[已修正]，开发了一个用于在包括温度、盐浓度和pH值等环境条件下细菌生长的程序。这些程序可在日本食品工业中心免费获取。此外，通过使用食品表面两点的测量温度和热传导定律，开发了一种估计暴露于给定温度下的食品内部或表面各点温度的方法。将该方法与生长模型相结合，构建了一个预测暴露于各种温度模式下食品中微生物生长的系统。该系统可能成为微生物食品安全预警系统的原型。
