水产品贮运过程品质预测技术研究进展

Developments of quality prediction techniques in storage and transportation of aquatic products

水产品在贮运过程中受到微生物和生化反应的作用品质会迅速下降。通过水产品的品质指标检测了解水产品品质,存在着耗时、耗力等缺点,不能即时监控水产品在贮运过程中的品质变化。水产品品质预测技术是借助数学模型模拟并预测水产品的品质,借助该技术可以实现对水产品品质的快速预测。文章介绍并分析了目前已有的几类水产品品质预测模型,包括动力学模型、微生物生长预测模型、基于整体稳定性指数的数学模型和人工智能数学模型,以期为各类水产品品质预测技术的建立和完善提供参考。

Aquatic products quality degrades rapidly during storage and transportation as a consequence of biochemical and microbial breakdown mechanisms. Traditional quality detection methods of aquatic products are time- consuming and tedious. As a result,they are not suitable for real- time monitoring during commodity circulation. Quality prediction technology,based on mathematical models to simulate and predict aquatic products quality,can realize real-time monitoring of aquatic products quality. This paper reviewed and compared several prediction models which have been used in aquatic products,such as kinetic models,microbial growth prediction models,mathematical models based on global stability index and artificial intelligence,with a view to providing useful information for the development and improvement of prediction techniques in aquatic products.