不同贮藏温度下半滑舌鳎货架期预测模型建立与评价
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(1.上海水产品加工及贮藏工程技术研究中心,上海 201306;2. 上海冷链装备性能与节能评价专业技术服务平台,上海 201306;3. 上海海洋大学食品学院,上海 201306)

作者简介:

李娜,女,上海海洋大学在读硕士研究生。

通讯作者:

谢晶(1968—),女,上海海洋大学教授,博士。E-mail:jxie@shou.edu.cn

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基金项目:

农业部海水鱼产业体系(编号:CARS-47);2016年上海市科技兴农重点攻关项目(编号:沪农科攻字﹝2016﹞第1-1号);上海市科委平台能力建设项目(编号:16DZ2280300);上海市科委公共服务平台建设项目(编号:17DZ2293400)


Establishment and evaluation of shelf life prediction model for half-smoothtongue sole(Cynoglossus semilaevis) at different storage temperatures
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(1. Shanghai Engineering Research Center of Aquatic Product Processing&Preservation, Shanghai 201306, China;2. Shanghai Professional Technology Service Platform on Cold Chain Equipment Performance andEnergy Saving Evaluation, Shanghai 201306, China; 3. College of Food Science and Technology,Shanghai Ocean University, Shanghai 201306, China)

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    摘要:

    为实时监测半滑舌鳎在贮藏期间的品质特性变化及货架期,分别于270,273,277,283 K贮藏半滑舌鳎并定期检测其感官、理化(电导率、滴水损失率、蒸煮损失率、TVB-N值、K值)和微生物品质指标的变化规律,运用一级动力学模型结合Arrhenius方程建立各指标随贮藏温度、贮藏时间变化的货架期模型,并利用280 K下的数据验证其准确性。结果表明,随着贮藏时间的延长感官特性逐渐下降,而各理化特性、微生物指标呈逐渐上升的变化趋势。另外,利用各指标构建的动力学模型准确性高,实测值与预测值的相对误差都低于±10%,特别是通过TVB-N值和蒸煮损失率构建的货架期模型准确度更佳。

    Abstract:

    To monitor promptly changes of quality characteristics and predict shelf life of half-smooth tongue sole(HTS) fillets during cold store, HTS fillets were stored at 270, 273, 277, 283 K and sensory evaluation, physicochemical properties (electrical conductivity, dripping loss, cooking loss, TVB-N value and K value), and the total viable counts were measured regularly. Besides, the shelf-life model of every index varying with storage temperature and storage time was established by using first-order kinetic model combined with Arrhenius equation, which was further verified using quality changes of HTS fillets at 280 K. The results showed that the sensory evaluation values decreased with the extension of storage time, while the physicochemical and microbial indexes showed an upward trend. Furthermore, the kinetic models constructed with all indexes had excellent accuracy. And the relative error was less than ±10% between predicted shelf life and actually measured shelf life of all indicators, especially the models of TVB-N value and cooking loss. Above results demonstrated that first-order kinetic model combined with Arrhenius equation has great significance and practical guides in the evaluation of quality characteristics and prediction of shelf life of HTS fillets during cold chain logistics process.

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引用本文

李娜,谢晶,梅俊.不同贮藏温度下半滑舌鳎货架期预测模型建立与评价[J].食品与机械,2018,34(11):119-125.
LINa, XIEJing, MEIJun. Establishment and evaluation of shelf life prediction model for half-smoothtongue sole(Cynoglossus semilaevis) at different storage temperatures[J]. Food & Machinery,2018,34(11):119-125.

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  • 收稿日期:2018-08-01
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  • 在线发布日期: 2023-03-17
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