养殖鱼类货架期预测系统的设计与评估  

Development and assessment of a shelf life prediction system for cultured fish

作　　者：杨宪时[1] 许钟[1] 郭全友[1] 

机构地区：[1]中国水产科学研究院东海水产研究所农业部海洋与河口渔业重点开放实验室,上海200090

出　　处：《农业工程学报》2006年第8期129-134,共6页Transactions of the Chinese Society of Agricultural Engineering

基　　金：农业部引进国际先进农业科学技术项目(2001-478)

摘　　要：以自然污染养殖罗非鱼贮藏在0℃、5℃、10℃、15℃过程中的特定腐败菌一假单胞菌生长动态数据，建立假单胞菌在0～15℃温度范围的生长动力学模型，选用Visual Basic为程序编写工具，建立了用于罗非鱼冷却链鲜品流通品质监控和剩余货架期预测的专家系统（FSLP）。剩余货架期预测值与实测值的可靠性评估表明，相对误差在±10％以内，显示建立的预测系统可以快速可靠地实时预测养殖罗非鱼的鲜度和剩余货架期。该研究采用以自然污染鱼得到试验数据建立特定腐败菌生长动力学模型的方法，增加了预测的准确度，并较好地解决了在波动温度下预测微生物生长相对困难的难题，提高了预报系统的实际应用价值。该预测系统为设计和评估生鲜鱼品冷却链的技术参数，预测和监控冷却链生鲜鱼的鲜度品质提供一种迅速而有效的工具。Based on the growth kinetics data of Pseudomonas spp. on naturally contaminated cultured Tilapia stored at 0℃, 5℃, 10℃ and 15℃, a growth kinetics model of Specific Spoilage Organisms（SSO） Pseudomonas spp. at 0～15℃ was set up. With the help of Visual Basic, quality monitoring and remaining shelf life prediction expert system was developed for circulating fresh product of Tilapia in chill chain. It was shown from the reliability assessment between predictive remaining shelf life（RSL） and observed RSL that basic error was within ±10% and the system could rapidly and reliably predict the freshness and RSL of cultured Tilapia. The approach of SSO growth kinetics model by using experimental data on naturally contaminated fish, effectively solved the difficulty in predicting the microbial growth at the kinetic temperatures and enhanced the accuracy and practicability of the system. The system was a rapid and valuable tool to design and assess technological parameters, predict and monitor freshness of fresh fish in the chill chain.

关 键 词：养殖鱼类 货架期预测 应用软件 假单胞菌 生长动力学模型 

分 类 号：S951.2[农业科学—水产养殖] TS201.3[农业科学—水产科学]