食品科学 ›› 2010, Vol. 31 ›› Issue (18): 86-89.doi: 10.7506/spkx1002-6630-201018020

• 工艺技术 • 上一篇    下一篇

冷鲜肉中热杀索丝菌生长预测模型的建立与验证

刘超群,陈艳丽,王宏勋* ,艾有伟   

  1. 武汉工业学院食品科学与工程学院
  • 收稿日期:2010-06-07 出版日期:2010-09-25 发布日期:2010-12-29
  • 通讯作者: 王宏勋 E-mail:wendyliu919@163.com
  • 基金资助:

    武汉市科技攻关计划项目(200920322146)

Development and Validation of a Predictive Model for the Growth of Brochothrix thermosphacta in Chilled Pork

LIU Chao-qun,CHEN Yan-li,WANG Hong-xun*,AI You-wei   

  1. College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
  • Received:2010-06-07 Online:2010-09-25 Published:2010-12-29
  • Contact: WANG Hong-xun E-mail:wendyliu919@163.com

摘要:

以市售托盘装冷鲜猪肉为研究对象测定热杀索丝菌的数量变化情况与感官、挥发性盐基氮和菌落总数的变化,结果表明冷鲜猪肉的腐败限控量为5.316 lg(CFU/g) ,热杀索丝菌在不同温度货架期终点时菌落数均值为7.519lg(CFU/g)。运用统计学软件SAS9.1 拟合热杀索丝菌在不同温度下的生长动力模型,表明Gompertz 模型能很好拟合热杀索丝菌在不同温度下的生长;利用平方根模型描述温度与最大比生长速率和延滞期的关系,得到热杀索丝菌生长的二级模型,判定系数R2 的值均在0.99 以上,表明温度与最大比生长速率和延滞期之间存在良好的线性关系;建立了0~15℃温度区域内冷鲜猪肉储藏过程中的货架期预测模型,用3℃储藏冷鲜肉中热杀索丝菌生长的实测值与通过货架期预测模型得到的预测值进行比较,相对误差为1.6%,表明模型可以可靠预测0~15℃温度区域内冷鲜猪肉的货架期。

关键词: 冷鲜猪肉, 热杀索丝菌, 生长模型, 货架期

Abstract:

During storage at 0, 4, 7, 10 or 15 ℃, tray-packaged pork was periodically measured for its total bacteria count and Brochothrix thermosphacta count, sensory quality and total volatile basic nitrogen. The maximum Brochothrix thermosphacta count for keeping pork from spoilage was 5.316 lg(CFU/g). The average of Brochothrix thermosphacta counts in chilled pork at the end of shelf-life at different temperatures was 7.519 lg(CFU/g). SAS9.1 statistical software was used to fit Gompertz type models for the growth dynamics of Brochothrix thermosphacta at different temperatures, and these models were found to be able to do well. Two Belehradek models that describe the relationships between temperature and maximum specific growth rate or lag phase were set up and their determination coefficients were both more than 0.99, which indicates that there is a quiet good relationship between temperature and maximum specific growth rate or lag phase. Based on these investigations, a predictive model for the shelf-life of chilled pork stored at a temperature ranging from 0 to 15 ℃ was set up. Comparison between the observed shelf-life of pork stored at 3 ℃ and its predictive counterpart was carried out, and a relative error was found. This demonstrates that the predictive model is reliable in predicting the shelf-life of chilled pork stored a temperature ranging from 0 to 15 ℃.

Key words: chilled pork, Brochothrix thermosphacta, growth model, shelf-life

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