首页> 外文期刊>International journal of food science & technology >Development of a predictive model describing the growth of Yersinia enterocolitica in Camembert-type cheese
【24h】

Development of a predictive model describing the growth of Yersinia enterocolitica in Camembert-type cheese

机译:开发描述卡门培尔型干酪中小肠结肠炎耶尔森氏菌生长的预测模型

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Behaviour of Yersinia enterocolitica in mould-ripened Camembert-type cheese during storage at temperature range 3-15 ℃ was evaluated and mathematically described. The Baranyi and Gompertz models were adjusted to the results of the study to calculate the growth rate (GR) and lag time (LT) for Y. enterocolitica at each temperature. Goodness of fit was assessed by calculating the Akaike information criterion (AIC) and mean square error (MSE). Square root models were constructed which described the relations between GR, LT and applied storage temperature. The secondary models were mathematically validated based on the results generated by ComBase Predictor. Moreover, generated models were validated using external, independent data from ComBase database. Based on this, it was found that the square root models of Ratkowsky constructed on GR that were determined based on the Baranyi and Roberts model most accurately described the behaviour of Y. enterocolitica in Camembert-type cheese during storage under refrigerated conditions.
机译:评价并数学描述了霉菌化卡门培尔奶酪中小肠结肠炎耶尔森菌的行为,温度范围为3-15℃。根据研究结果调整Baranyi和Gompertz模型,以计算每个温度下肠球菌的生长速率(GR)和滞后时间(LT)。通过计算Akaike信息标准(AIC)和均方误差(MSE)来评估拟合优度。构造了平方根模型,该模型描述了GR,LT和应用的存储温度之间的关系。根据ComBase Predictor生成的结果对辅助模型进行数学验证。此外,使用来自ComBase数据库的外部独立数据验证了生成的模型。基于此,发现基于Baranyi和Roberts模型确定的,基于GR构建的Ratkowsky的平方根模型最准确地描述了冷藏条件下卡门培尔型干酪中小肠结肠炎耶尔森菌的行为。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号