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中国农学通报 ›› 2015, Vol. 31 ›› Issue (11): 170-176.doi: 10.11924/j.issn.1000-6850.casb14120101

所属专题: 园艺

• 食品 营养 检测 安全 • 上一篇    下一篇

基于生长预测模型研究温度对鲜切苹果中大肠杆菌和沙门氏菌生长的影响

罗惟,陈敏,陈安均,董维,侯晓艳,蒲彪,敖晓琳   

  1. 四川农业大学 食品学院,四川农业大学 食品学院 四川 雅安,四川农业大学 食品学院,四川农业大学 食品学院,四川农业大学 食品学院,四川农业大学 食品学院,四川农业大学 食品学院
  • 收稿日期:2014-12-16 修回日期:2015-02-10 接受日期:2015-02-16 出版日期:2015-05-06 发布日期:2015-05-06
  • 通讯作者: 陈安均
  • 基金资助:
    国家863计划项目“鲜切果蔬的病原菌安全控制技术”(2012AA101606-03)

Growth of Escherichia coli and Salmonella enteritidis on Fresh-cut Apple as a Function of Temperature Based on Modeling Study

  • Received:2014-12-16 Revised:2015-02-10 Accepted:2015-02-16 Online:2015-05-06 Published:2015-05-06

摘要: 为建立不同温度条件下沙门氏菌和大肠杆菌在鲜切苹果表面的生长模型,为实际生产提供参考,一级模型Baranyi模型被用于拟合4、10、15和25℃条件下沙门氏菌和大肠杆菌在鲜切苹果表面的生长,二级模型平方根模型被用于拟合温度与最大生长速率之间的关系。结果发现,在4℃条件下,由于沙门氏菌和大肠杆菌生长受到抑制,没有表现出生长,Baranyi模型不能对其生长进行拟合;在10、15和25℃条件下,Baranyi模型的拟合函数的决定系数均大于0.96,均方根误差均小于0.23,同时拟合模型具有统计学意义(P<0.01);平方根模型的拟合函数的决定系数均大于0.99,均方根误差均小于0.0023,同时拟合模型具有统计学意义(P<0.05)。结果证明所建立的模型能较好地反映沙门氏菌和大肠杆菌在鲜切苹果表面的生长,表明建立的模型能为鲜切苹果的致病菌防治提供实际指导和参考依据。

关键词: BMY牛 (云岭牛), BMY牛 (云岭牛), 云南黄牛, 短云杂牛, 西云杂牛, 性别, 嫩度

Abstract: The objective of this study is to utilize predictive model to investigate the growth of Escherichia coli and Salmonella on fresh-cut apple as a function of temperature. The primary model Baranyi model was used to estimate the parameters of the growth of the pathogens on the surface of fresh cut apple at different temperatures during storage time, the secondary model square root model was used to fit the relationship of temperature and the maximum growth rate. The results showed that: since no growth was observed for both pathogens at 4℃, the Baranyi model could not fit the growth of the microorganisms. At 10, 15 and 25℃, the models fitted well with the growth of the tested strains as the coefficients of determination were higher than 0.96, the root mean square errors were lower than 0.23 and the fitted curves all had the statistical significance (P<0.01), the square root model fitted well with the relationships of temperature and the maximum growth rate of both pathogens, the coefficients of determination were higher than 0.99, the root mean square errors were lower than 0.0023 and the fitted curves both had the statistical significance (P<0.05). In conclusion, the established models fitted well with the growth of E. coli and Salmonella on fresh cut apple and could provide practical guidance for the prevention and control of pathogens on fresh cut apple.