水产品货架期预测模型的研究进展

水产品货架期预测的研究为监测和控制水产品安全提供了理论基础。水产品是一类极易腐败变质的产品,利用货架期预测可以对水产品贮藏、运输、销售等流通环节下的品质进行及时监控,从理论上预测水产品剩余货架期。本文分析了影响水产品货架期的主要因素,包括微生物作用、水产品化学反应、水产品物理变化以及环境温度的作用等;提出了2种水产品货架期的建模思路;并总结了几类常用水产品货架期预测模型(基于水产品品质损失的动力学模型、基于温度变化的模型、基于统计学的模型和人工神经网络模型等);最后分析了水产品货架期预测目前存在的问题,为未来研究提供思路。

Progress in Shelf Life Prediction Models for Aquatic Products

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.