食品科学 ›› 2021, Vol. 42 ›› Issue (15): 261-268.doi: 10.7506/spkx1002-6630-20200603-038

• 专题论述 • 上一篇    下一篇

水产品贮运过程中货架期预测的研究进展

王红丽,王锡昌,施文正,周纷,王玥科   

  1. (上海海洋大学食品学院,农业农村部水产品贮藏保鲜质量安全风险评估实验室,上海水产品加工及贮藏工程技术研究中心,上海 201306)
  • 出版日期:2021-08-15 发布日期:2021-08-27
  • 基金资助:
    “十三五”国家重点研发计划重点专项(2018YFD0901006)

Recent Progress on Shelf-Life Prediction of Aquatic Products during Storage and Transportation

WANG Hongli, WANG Xichang, SHI Wenzheng, ZHOU Fen, WANG Yueke   

  1. (Laboratory of Quality & Safety Risk Assessment for Aquatic Product on Storage and Preservation (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai Aquatic Products Processing and Storage Engineering Technology Research Center, College of Food Sciences & Technology, Shanghai Ocean University, Shanghai 201306, China)
  • Online:2021-08-15 Published:2021-08-27

摘要: 水产品具有富含水分、高度不饱和脂肪酸和高活性内源酶等原料学特性,加之其外源微生物和内源酶的联合作用,其在死后贮运过程中极易发生理化性质、微生物和感官性状的变化,引起品质下降。基于敏感指标的变化对水产品的货架期进行建模,对水产品品质的快速预测和评估具有十分重要的意义。本综述主要介绍了在贮运过程中水产品货架期预测的内涵、货架期预测模型的研究方法(等温法和加速实验法)、货架期预测模型的分类及国内外研究进展,旨在为水产品货架期预测建模提供参考。

关键词: 水产品;贮运;货架期预测;建模

Abstract: Aquatic products are prone to physicochemical, microbial and sensory changes during postmortem storage and transportation because of their high water and highly unsaturated fatty acid contents and high endogenous protease activity as well as the combined action of exogenous microorganisms and endogenous enzymes, resulting in quality deterioration. Modeling the shelf-life of aquatic products based on changes in sensitive indexes is of great significance to the rapid prediction and evaluation of the quality of aquatic products. This paper summarizes the connotation of and the methods (isothermal method and accelerated shelf-life testing method) used for the shelf-life prediction of aquatic products during storage and transportation and the classification of shelf-life prediction models established, and it reviews the recent progress in this research area, with the aim of providing a new idea for modeling for the shelf-life prediction of aquatic products.

Key words: aquatic products; storage and transportation; shelf-life prediction; modeling

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