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预报微生物学及其在食品货架期预测领域的研究进展
引用本文:肖琳琳,张凤英,杨宪时,许钟.预报微生物学及其在食品货架期预测领域的研究进展[J].海洋渔业,2005,27(1):68-73.
作者姓名:肖琳琳  张凤英  杨宪时  许钟
作者单位:中国水产科学研究院东海水产研究所,上海,200090
摘    要:预报微生物学研究食品腐败的过程和腐败优势细菌的消长变化情况 ,该领域获得的数值信息为食品货架期监测预报系统的开发打下了坚实的基础。为了准确预报产品的货架期 ,必须考虑整个食品微生态系统。本文略述了与食品腐败相关的微生物学研究 ,并引入了特定腐败菌的概念。在此基础上 ,讨论了预报微生物学在食品货架期预测领域面临的挑战和研究进展 ,并以腐败假单胞菌为例 ,简要介绍了预报模型的建立步骤和货架期预报系统的开发过程。

关 键 词:预报微生物学  食品微生物腐败  特定腐败菌  货架期预报  假单胞菌模型
文章编号:1004-2490(2005)01-0068-06

Predictive microbiology and its advance on the field of food shelf life prediction
XIAO Lin-lin,ZHANG Feng-Ying,YANG Xian-shi,XU Zhong.Predictive microbiology and its advance on the field of food shelf life prediction[J].Marine Fisheries,2005,27(1):68-73.
Authors:XIAO Lin-lin  ZHANG Feng-Ying  YANG Xian-shi  XU Zhong
Abstract:Predictive microbiology aims to summarize the probable behavior of predominant spoilage bacteria and the spoilage processes in food. The quantitative knowledge obtained in this field provides a sound basis for the development of devices with which the loss of food shelf life was monitored during storage time. To predict shelf life accurately, it is necessary to consider the microbial ecology of the food system. This paper briefly reviewed the aspects of microbiological research relevant to the spoilage of food and introduced the concept of specific spoilage organisms (SSO). The problems and solutions emerged in the shelf life prediction field were also discussed. The basic steps of modeling and the key developing processes of shelf life prediction system were exemplified with modeling program of Pseudomonas putrefaciens as an example.
Keywords:Predictive microbiology  food microbiological spoilage  specific spoilage organisms  shelf life prediction  Pseudomonas model
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