冷鲜鸡货架期微生物预测系统的构建
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瞿洋,女,上海市农业科学院研究实习员,硕士

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上海市食品安全地方标准修订项目(编号:沪卫食品〔2019〕6号);农业农村部国家农产品质量安全风险评估项目(编号:GJFP2019005)


Establishment of microbial prediction system for shelf life of chilled chicken
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    摘要:

    利用修正的Gompertz方程建立冷鲜鸡货架期动力学模型,使用皮尔森相关系数描述微生物参数与冷鲜鸡货架期准确度的相关性,利用Visual Basic语言编写形成冷鲜鸡货架期微生物预测系统,并对其进行实际样品验证。结果表明:冷鲜鸡中肠杆菌、热死环丝菌与菌落总数的腐败阙值分别为4.433,2.735,5.141 lg(CFU/g);修正的Gompertz方程与平方根模型R2>0.94;肠杆菌、热死环丝菌、菌落总数的皮尔森系数分别为0.992 3(P<0.01),0.992 7(P<0.01),0.995 1(P<0.01),表明肠杆菌、菌落总数和热死环丝菌均与冷鲜鸡腐败相关,并且与菌落总数相关性最高;VB语言编写的冷鲜鸡货架期微生物预测系统软件的最大相对误差<9%,可快速获得不同贮藏温度下冷鲜鸡的货架期。

    Abstract:

    Enterobacteriaceae, Brochothrix thermosphacta, and total viable counts (TVC) are the important parameters that affect the shelf life of chilled chicken. Discovering the correlation between the parameters and the accuracy of the shelf-life prediction is conducive to monitoring the storage of chilled chicken. To develop microbial prediction system for shelf life of chilled chicken, the bacterial counts were calculated to establish the growth model of these parameters using SGompertz model. Meanwhile, the Pearson correlation coefficient analysis was performed for the parameters and the accuracy of the shelf-life prediction. Then the prediction system was written by Visual Basic (VB) and verified with actual samples. Results showed that the spoilage thresholds of Enterobacteriaceae, B. thermosphacta, and TVC were 4.433, 2.735, and 5.141 lg(CFU/g), respectively. The R2 in both SGompertz function and Square Root model were greater than 0.94. The Pearson’s coefficients of the parameters were 0.992 3 (P<0.01), 0.992 7 (P<0.01), and 0.995 1 (P<0.01), respectively. These findings suggested that the parameters were all related to the spoilage of chilled chicken, and the TVC had the highest correlation. The maximum relative error of the prediction system written in VB language for chilled chicken was less than 9%. It’s provided to be an efficient and convenient method for formulating the shelf life of chilled chicken.

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瞿洋,周昌艳,索玉娟,等.冷鲜鸡货架期微生物预测系统的构建[J].食品与机械,2020,(10):110-115.
QU Yang, ZHOU Chang-yan, SUO Yu-juan, et al. Establishment of microbial prediction system for shelf life of chilled chicken[J]. Food & Machinery,2020,(10):110-115.

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  • 在线发布日期: 2023-02-18
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