食品科学2017，Vol.38Issue(15)：294-301,8.DOI:10.7506/spkx1002-6630-201715046
水产品货架期预测模型的研究进展
Progress in Shelf Life Prediction Models for Aquatic Products
摘要
Abstract
Studies concerning the shelf life prediction of aquatic products can offer a theoretical foundation for monitoring and controlling the safety of aquatic products.The shelf life prediction of aquatic products,which are highly perishable,enables timely quality monitoring during storage,transportation and sales and prediction of the remaining shelf life.This article elucidates the major factors affecting the shelf life of aquatic products,including microbes and chemical reaction,physical change and environmental temperature.Herein,we put forward two new strategies for establishing shelf life prediction models for aquatic products,and we also summarize several common shelf life prediction models such as kinetic models based on reduced quality of aquatic products,based on temperature change,based on statistical analysis and based on artificial neural network.Finally,we discuss the existing problems in the shelf life prediction of aquatic products.We hope that this review will provide references for future research.关键词
水产品/货架期/建模思路/预测模型Key words
aquatic products/shelf life/modeling solutions/predictive model分类
农业科技引用本文复制引用
史策,钱建平,韩帅,杨信廷,刘寿春..水产品货架期预测模型的研究进展[J].食品科学,2017,38(15):294-301,8.基金项目
北京市自然科学基金项目(6174040) （6174040）
北京市农林科学院青年科研基金项目(QNJJ201720) （QNJJ201720）
“十三五”国家重点研发计划重点专项(2016YFD0401205) （2016YFD0401205）
