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.

Key words: aquatic products, shelf life, modeling solutions, predictive model