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中国精品科技期刊2020

低温贮藏凡纳滨对虾中单增李斯特菌生长预测模型的建立

张雪梅, 张瀛, 吴雅茜, 孙力军, 房志家, 刘颖

张雪梅, 张瀛, 吴雅茜, 孙力军, 房志家, 刘颖. 低温贮藏凡纳滨对虾中单增李斯特菌生长预测模型的建立[J]. 食品工业科技, 2017, (15): 285-289. DOI: 10.13386/j.issn1002-0306.2017.15.053
引用本文: 张雪梅, 张瀛, 吴雅茜, 孙力军, 房志家, 刘颖. 低温贮藏凡纳滨对虾中单增李斯特菌生长预测模型的建立[J]. 食品工业科技, 2017, (15): 285-289. DOI: 10.13386/j.issn1002-0306.2017.15.053
ZHANG Xue-mei, ZHANG Ying, WU Ya-qian, SUN Li-jun, FANG Zhi-jia, LIU Ying. Predicting model of Listeria monocytogenes in Litopenaeus Vannameiat at low temperature[J]. Science and Technology of Food Industry, 2017, (15): 285-289. DOI: 10.13386/j.issn1002-0306.2017.15.053
Citation: ZHANG Xue-mei, ZHANG Ying, WU Ya-qian, SUN Li-jun, FANG Zhi-jia, LIU Ying. Predicting model of Listeria monocytogenes in Litopenaeus Vannameiat at low temperature[J]. Science and Technology of Food Industry, 2017, (15): 285-289. DOI: 10.13386/j.issn1002-0306.2017.15.053

低温贮藏凡纳滨对虾中单增李斯特菌生长预测模型的建立

基金项目: 

广东省科技计划项目(2014A020217018、2014B020205006); 国家自然科学基金(31371777,31171634);

详细信息
    作者简介:

    张雪梅 (1991-) , 女, 硕士, 研究方向:水产品加工与贮藏工程, E-mail:xuemei5660@yeah.net。;

    刘颖 (1999-) , 女, 博士, 教授, 研究方向:海洋微生物及其应用, E-mail:liuyingxk@sina.com。;

  • 中图分类号: TS254.4

Predicting model of Listeria monocytogenes in Litopenaeus Vannameiat at low temperature

  • 摘要: 建立低温(-20、0、2、4、6℃)贮藏下凡纳滨对虾中李斯特菌的生长预测模型,为冷藏对虾生产过程中该菌的有效控制提供理论依据。通过origin8.5和DMFit软件分别拟合Logisitic、Sweibull、Gompertz和Baranyi模型,分析R2得出最优一级模型。通过计算得到最大比生长速率(μm)和迟滞期(λ),再分别用Arrhenius方程和回归方程拟合对应的二级模型。结果表明修正的Logisitic模型在5个实验温度下R2均0.98,能够描述低温贮藏下LM的生长动态。采用Arrhenius方程和回归方程构建的二级模型R2分别为0.9903和0.9997,方差分析均为p<0.001,表明温度对最大比生长速率(μm)和迟滞期(λ)均呈现良好的线性关系。在5℃条件下对模型进行验证,得到偏差度Bf=1.0152、准确度Af=1.0798,均在可接受范围,说明建立的生长预测模型有效可靠。 
    Abstract: To establish growth predictive model of Listeria monocytogenes in Litopenaeus Vannamei at low temperature of-20, 0, 2, 4, 6 ℃ and to provide the theory basis for the effective control of Listeria monocytogenes at low temperature.The curves were fitted by Logisitic, Sweibull, Gompertz and Baranyi function as primary model by origin8.5 and DMFit software.Then the optimal primary model was determined by the analysis of R2.The Arrhenius and regression equation were used to fit the the relationship between temperature and the calculated growth rate ( μm) and lag-time ( λ) as secondary model. The results showed that the model of Logisitic was determined as the optimal primary model due to the R2 was higher than 0.98, which can describe the growth dynamic of Listeria monocytogenes at low temperature.The results that the R2 of Arrhenius was 0.9903 and of regression equation was 0.9997, and the p was lower than 0.001, it showed that the corresponding second order kinetic model of L.monocytogenes was also effective.The prediction model was verified when temperature was 5 ℃.The bias factor and accuracy factor of prediction model were 1.0152 and 1.0798, respectively.These results proved that the prediction model were valid and reliable.
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出版历程
  • 收稿日期:  2017-01-15

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