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预测微生物学在水产品货架期中应用研究进展
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  • 英文篇名:Advances on application of predictive microbiology in Shelf Life of Aquatic Products
  • 作者:沈勇 ; 梅俊 ; 谢晶
  • 英文作者:SHEN Yong;MEI Jun;XIE Jing;Shanghai Aquatic Products Processing and Storage Engineering Technology Research Center;Shanghai Professional Technology Service Platform on Cold Chain Equipment Performance and Energy Saving Evaluation;National Experimental Teaching Demonstration Center for Food Science and Engineering ﹝Shanghai Ocean University ﹞;Shanghai Ocean University College of Food Science and Technology;
  • 关键词:水产品 ; 预测模型 ; 货架期
  • 英文关键词:aquatic product;;predictive model;;shelf-life
  • 中文刊名:SPJX
  • 英文刊名:Food & Machinery
  • 机构:上海水产品加工及贮藏工程技术研究中心;上海冷链装备性能与节能评价专业技术服务平台;食品科学与工程国家级实验教学示范中心﹝上海海洋大学﹞;上海海洋大学食品学院;
  • 出版日期:2019-01-15
  • 出版单位:食品与机械
  • 年:2019
  • 期:v.35;No.207
  • 基金:农业部海水鱼产业体系(编号:CARS-47);; 2016年上海市科技兴农重点攻关项目(编号:沪农科攻字(2016)第1-1号);; 上海市科委平台能力建设项目(编号:16DZ2280300);上海市科委公共服务平台建设项目(编号:17DZ2293400)
  • 语种:中文;
  • 页:SPJX201901046
  • 页数:5
  • CN:01
  • ISSN:43-1183/TS
  • 分类号:227-231
摘要
预测微生物学可通过数学建模来快速预测水产品中腐败菌和致病菌的生长规律,从而预测水产品的货架期。文章阐述了预测微生物学初级模型、二级模型、三级模型的含义,列举了预测微生物学在水产品货架期中的应用,分析了预测微生物学在水产品货架期预测中存在的问题,并对预测微生物学的应用前景进行展望。
        Aquatic products is easily deteriorated,and microorganism is the main factor that leads to the deterioration.Predictive microbiology can predict the growth of spoilage organisms in aquatic products by building mathematical models,which help us predict the shelf-life of aquatic products.This paper briefly describes the meaning of predictive microbiology primary model,secondary model and tertiary model,enumerates the applications of predictive microbiology in shelf-life,and discuss the problems of predictive microbiology in the shelf-life prediction,and its application prospect is also proposed.
引文
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