冷链条件下马鲛鱼优势腐败菌生长动力学研究及货架期预测
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邢家溧,女,宁波市食品检验检测研究院高级工程师,博士

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国家市场监管总局科技计划项目(编号:2019MK080);浙江省基础公益研究计划项目(编号:LGC20C200013);宁波市自然科学基金项目(编号:2019A610438,2019A610437,2018A610223,2018A610336);浙江省食品药品监督管理局2018年度科技计划项目(编号:201802,201811);宁波市泛3315创新团队(编号:2018B-18-C);宁波市高新精英创新团队(编号:甬高科[2018]63号);宁波市现代服务业项目(编号:2019F1017)


Establishment and prediction of growth kinetics and shelf-life model of specific spoilage organisms in mackerel at cold chain conditions
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    摘要:

    为快速预测冷链马鲛鱼在不同冷链物流温度下优势腐败菌生长动态及货架期,进行了马鲛鱼0,4,10 ℃下3种典型冷链温度的贮藏模拟试验,分析了马鲛鱼不同温度下的菌落总数、希瓦氏菌数和假单胞菌数以及各个温度下马鲛鱼货架期终点时的挥发性盐基氮含量和感官评定质量指数,采用修正的Gompertz和Belehradek方程建立了冷链马鲛鱼中优势腐败菌在0~10 ℃的一级、二级生长预测模型与货架期预测模型。结果表明,修正的Gompertz方程能准确表达马鲛鱼在3种贮藏温度下假单胞菌的生长规律,拟合度R2高达0.99,采用Belehradek方程描述温度对最大比生长速率(μmax)和延滞期(λ)的影响呈现良好的线性关系,相关性R2>0.90。进一步用贮藏于2,8 ℃马鲛鱼中假单胞菌数来验证模型的可靠性,偏差度为1.010 4~1.024 5,准确度为1.026 8~1.038 7,货架期预测模型的相对误差绝对值为6.09%~8.95%。

    Abstract:

    The purpose of this paper was to predict the growth dynamics of dominant spoilage bacteria for Spanish mackerel in different cold-chain logistics temperatures. The total viable counts (TVC), Shewanella counts and Pseudomonas counts were analyzed respectively, and the total volatile base nitrogen (TVB-N) and sensory quality index(QI)value at the end of the shelf life of Spanish mackerel were evaluated at 0, 4, 10 ℃ cold-chain logistics simulation. On the basis of the dynamic change of SSO with modified Gompertz equation, Belehradek equation was used to construct the prediction models of growth and shelf life for SSO in Spanish mackerel at 0~10 ℃. The results showed that the modified Gompertz equation could describe the dynamic microbial growth in Spanish mackerel at different storage temperatures with the fitting degree of R2 up to 0.99. The temperature dependence of Pseudomonas kinetic parameters μmax(maximum specific growth rate)and λ(lag phase)were modeled using Belehradek model which the correlation greater than 0.90. Compared with experimental studies of Pseudomonas grown on Spanish mackerel at 2, 8 ℃, the kinetic model was verified. Bias and accuracy factors were used as comparison indices and range from 1.010 4 to 1.024 5 and from 1.026 8 to 1.038 7, respectively. The absolute relative error of shelf life prediction model was 6.09%~8.95%. In conclusion, the model established in this study could accurately predict the growth dynamics of pseudomonas in Spanish mackerel at temperatures 0~10 ℃ so as to provide corresponding theoretical support for the prediction of shelf life in circulation of cold-chain Spanish mackerel and the development of reasonable preservation measures.

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邢家溧,徐晓蓉,承海,等.冷链条件下马鲛鱼优势腐败菌生长动力学研究及货架期预测[J].食品与机械,2020,(3):154-160.
XING Jia-li, XU Xiao-rong, CHENG Hai, et al. Establishment and prediction of growth kinetics and shelf-life model of specific spoilage organisms in mackerel at cold chain conditions[J]. Food & Machinery,2020,(3):154-160.

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  • 在线发布日期: 2023-02-16
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