农业工程学报2012，Vol.28Issue(10)：267-273,7.DOI:10.3969/j.issn.1002-6819.2012.10.042
不同贮藏温度下养殖大黄鱼货架期预测模型的构建
Predictive model construction of shelf life for cultured Pseudosciaena crocea stored at different temperatures
摘要
Abstract
To investigate the causes of fish spoilage under different temperatures and develop the predictive model of shelf life, sensory, chemical and microbiological characteristics and bacterial flora of cultured Pseudosciaena crocea stored aerobically at low temperature from 0 to 10℃, ambient temperature at 25℃ and non-isothermal temperatures were carried out, and the specific spoilage organisms in cultured Pseudosciaena crocea at above mentioned temperatures were also identified. And then three predictive models of shelf life were developed and validated under isothermal and non-isothermal conditions. The results showed that the shelf lives were from 5.4 to 17.8 days and their specific spoilage organisms were Shewanella putrefaciens, Pseudomonas at low temperature, and shelf life was only 1.1 days and specific spoilage organisms were Vibronaceae and Enterobacteriaceae at ambient temperature. Predictive models of shelf lives including Exponential, School-field and Square-root equations were fitted based on the relationship between relative spoilage rates and temperatures, and three model parameters which were the temperature characteristics coefficients(α), minimum temperature(T/min), apparent activation energy (Eα) were 0.11, -10℃and 74 kJ/mol, respectively. Three predictive models of shelf life were validated under isothermal (3,7and 10℃) and non-isothermal conditions. According to the comparison of relative errors of three models which were 0%-13.8%, -0.9%-9.8% and -0.2%--22.1%, it showed that School-field and Exponential models of shelf life were better than Square-root model for evaluating quality of fish at 0-25 ℃. This paper provides a basis for developing the intelligent predictive systems of quality integrated with the package, storage and distribution of fish products.关键词
贮藏/温度/预测/货架期/特定腐败菌/预测建模/养殖大黄鱼Key words
storage/ temperatures/ forecasting/ shelf life/ specific spoilage organism/ predictive modeling/ cultured Pseudosciaena crocea分类
农业科技引用本文复制引用
郭全友,王锡昌,杨宪时,姜朝军,李学英,迟海..不同贮藏温度下养殖大黄鱼货架期预测模型的构建[J].农业工程学报,2012,28(10):267-273,7.基金项目
国家自然科学基金项目(30771675) （30771675）
中央级公益性科研院所基本科研业务费专项资金(中国水产科学研究院东海水产研究所)资助项目(2011M04) （中国水产科学研究院东海水产研究所）
上海市教委重点学科建设项目资助(J50704) （J50704）
农业科技成果转化资金(2011GB23260007). （2011GB23260007）
