食品货架期预测研究进展与趋势  

Research Progress and Trend of Food Shelf Life Prediction

作　　者：陈晓宇[1,2] 朱志强[3] 张小栓[1,2] 穆维松[1,2] 傅泽田[1,2] 

机构地区：[1]中国农业大学信息与电气工程学院,北京100083 [2]中国农业大学食品质量与安全北京实验室,北京100083 [3]国家农产品保鲜工程技术研究中心,天津300384

出　　处：《农业机械学报》2015年第8期192-199,共8页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金资助项目(31371538);新世纪优秀人才支持计划资助项目(NCET-11-0491)

摘　　要：作为食品领域的重要研究方向,货架期预测已成为国内外研究的热点问题。在整理和总结现有相关研究文献的基础上,阐述了食品货架期预测的研究机理,梳理了相关研究思路与方法;对当前研究中采用的5种方法(基于化学动力学的方法、基于微生物生长动力学的方法、BP神经网络方法、威布尔危险值分析方法和Q10模型等基于温度的方法)进行了比较分析;对应用于肉类、水产品、果蔬等不同类别食品并取得良好预测效果的品质指标及所采用的模型方法进行了总结和分析。最后分析了食品货架期预测研究的现状,并展望了发展趋势。As an important research direction of food sector, shelf life prediction has become a hot topic worldwide. The related research literatures were summarized, the research mechanism and research progress of food shelf life prediction were reviewed, and the related research ideas and research methods were clarified. Five types of research methods were analyzed and compared, including the method based on chemical kinetics, the method based on growth kinetics of microbial, the method of back propagation （BP） neural networks, the method of Weibull hazard analysis and the method based on temperature such as Q10 model. Quality indexes and research models used in different kinds of foods＇ shelf life prediction, such as meat, aquatic product, fruits and vegetables, which were proved to be available to achieve good results, were summarized. Finally, the status of food shelf life prediction research was analyzed and its development tendency was presented in the respects of research mechanism, study object and its surroundings, research applications and dynamic monitoring. Analysis indicates that food shelf life prediction tends to be more accurate and utility.

关 键 词：食品 货架期预测 动态监测 

分 类 号：TS201.6[轻工技术与工程—食品科学]