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不同贮藏温度下小黄鱼货架期预测模型的建立和评价
引用本文:吴行印,谢晶,王旭.不同贮藏温度下小黄鱼货架期预测模型的建立和评价[J].包装工程,2016,37(19):84-90.
作者姓名:吴行印  谢晶  王旭
作者单位:上海海洋大学,上海,201306;上海海洋大学,上海,201306;上海海洋大学,上海,201306
基金项目:国家“十三五”重点研发计划项目(2016YFD0400106);上海市科技兴农重点攻关项目(沪农科攻字(2016)第1-1号);上海市科委平台能力提升项目(16DZ2280300)
摘    要:目的探究不同贮藏温度下小黄鱼的品质变化与货架期之间的关系,并建立货架期预测模型。方法设计了273,278,283,288,293 K等5组不同温度下的贮藏实验,对小黄鱼的感官品质指标变化、持水率、pH值、色差(L值、b值)、挥发性盐基氮(TVB-N)、菌落总数和鲜度指标(K值)的变化进行测定分析;运用Arrhenius方程对菌落总数、TVB-N、K值与贮藏时间及贮藏温度建立动力学预测模型。结果菌落总数、TVB-N和K值随着贮藏时间的延长而逐渐增加,感官品质随贮藏时间的延长而下降。结论该模型所获得的货架期预测值准确率达到90%以上,可用于温度为273~293 K范围内小黄鱼剩余货架期的预测。

关 键 词:小黄鱼  货架期  预测模型
收稿时间:4/4/2016 12:00:00 AM
修稿时间:2016/10/10 0:00:00

Establishment and Evaluation of the Shelf-life Prediction Model for Small Yellow Croaker under Different Store Temperatures
WU Xing-yin,XIE Jing and WANG Xu.Establishment and Evaluation of the Shelf-life Prediction Model for Small Yellow Croaker under Different Store Temperatures[J].Packaging Engineering,2016,37(19):84-90.
Authors:WU Xing-yin  XIE Jing and WANG Xu
Affiliation:Shanghai Ocean University, Shanghai 201306, China,Shanghai Ocean University, Shanghai 201306, China and Shanghai Ocean University, Shanghai 201306, China
Abstract:The work aims to study the relationship between small yellow croaker quality changes and shelf life at different temperatures and establish a shelf-life prediction model. Sensory evaluation, specific retention count, pH, L and b* value, total-volatile basic nitrogen (TVB-N) value and K value at different storage temperatures such as 273, 278, 283, 288, 293 K were analyzed. Based on the Arrhenius equation, kinetic predicting models which were about TVC, TVB-N and K value were established. It was shown that TVC, TVB-N and K value gradually increased and sensory quality of the yellow croaker deteriorated with the storage time prolonged. In conclusion, the accuracy rate of the predicting model is more than 90%, which could be used in the prediction of the remaining shelf life of small yellow croaker within the temperature ranges from 273 K to 293 K.
Keywords:small yellow croaker  shelf life  prediction model
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