首页> 外文期刊>Journal of food and nutrition research >Development and validation of growth models using one-step modelling approach for determination of chicken meat shelf-life under isothermal and non-isothermal storage conditions
【24h】

Development and validation of growth models using one-step modelling approach for determination of chicken meat shelf-life under isothermal and non-isothermal storage conditions

机译:使用一步建模方法对等温和非等温储存条件下测定鸡肉保质期的增长模式的开发与验证

获取原文
获取原文并翻译 | 示例
       

摘要

The main objective of the present study was to investigate and simulate the effect of storage temperature on spoilage of aerobically stored chicken meat using two-step and one-step modelling approaches. For this purpose, the fitting capability of various primary models was evaluated for total bacterial counts in aerobically stored chicken meat. The one-step modelling approach considerably improved the fitting capability whichever primary model was used. The statistical indices (bias factor = 0.999 and accuracy factor = 1.194) showed that the best prediction performance for prediction of maximum specific bacterial growth rate values was obtained by the one-step modelling approach involving the Huang model. The prediction performance of the Huang model was also assessed for various non-isothermal storage conditions, and this model provided satisfactory statistical indices (1.027 bias factor 1.064 and 1.069 accuracy factor 1.085). The validated one-step modelling approach exhibited good performance as a prediction tool for the determination of chicken meat spoilage; therefore the chicken meat shelf-life was predicted as a function of storage temperature. The shelf-life decreased from 58 h (2.4 days) to 16 h (0.7 days) when the storage temperature was increased from 4 degrees C to 15 degrees C.
机译:本研究的主要目的是使用两步和一步建模方法研究和模拟储存温度对储存鸡肉腐败的影响。为此目的,评估各种初级模型的拟合能力在有氧储存的鸡肉中的总细菌计数。一步式建模方法显着改善了使用初级模型的拟合能力。统计指数(偏置因子= 0.999和精度因子= 1.194)显示,通过涉及黄模型的一步建模方法获得最大特异性细菌生长速率值的最佳预测性能。对于各种非等温储存条件,还评估了黄模型的预测性能,本型号提供了令人满意的统计指数(1.027& 1.064和1.069&精度因子& 1.085)。经过验证的一步建模方法表现出良好的性能作为测定鸡肉腐败的预测工具;因此,鸡肉保质期被预测为储存温度的函数。当储存温度从4摄氏度增加至15摄氏度时,保质期从58小时(2.4天)到16小时(0.7天)降低。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号