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首页> 外文期刊>Czech Journal of Food Sciences >TBARS and Microbial Growth Predicative Models of Pork Sausage Stored at Different Temperatures
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TBARS and Microbial Growth Predicative Models of Pork Sausage Stored at Different Temperatures

机译:不同温度下猪肉香肠的TBARS和微生物生长预测模型

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摘要

Kinetic models were developed for quality changes of emulsified pork sausages to predict the TBARS (2-thiobarbituric acid reactive substance) and TVC (total viable counts) changes at different temperatures during storage. Kinetic models of TBARS changes with respect to the temperature during storage were developed based on Arrhenius equation. The regression coefficients (R-2 > 0.86) indicated the acceptability of the zero-order reaction and Arrhenius model for predicting TBARS changes. The activation energy (Ea) of TBARS was 109 kJ/mol and the corresponding rate constant (k(0)) was 2.6979 x 10(18). External model validation was performed for the sausage stored at 12 degrees C. A high correlation between the observed and modelled TBARS values as well as low RMSE level were obtained. The Baranyi model was fitted to the growth curves. The polynomial model predicted more accurately the influence of temperature on the growth rate, reaching the high adjusted determination coefficient (0.98). Therefore, the established models could effectively predict TBARS content and TVC growth in the emulsified pork sausages.
机译:建立了乳化猪肉香肠质量变化的动力学模型,以预测TBARS(2-硫代巴比妥酸反应性物质)和TVC(总活菌计数)在存储过程中不同温度下的变化。基于Arrhenius方程,建立了TBARS随温度变化的动力学模型。回归系数(R-2> 0.86)表明零级反应和Arrhenius模型可用于预测TBARS变化。 TBARS的活化能(Ea)为109 kJ / mol,相应的速率常数(k(0))为2.6979 x 10(18)。对存储在12摄氏度的香肠进行了外部模型验证。观察到的TBARS值与模型值之间的高度相关性以及较低的RMSE水平得到了相关性。 Baranyi模型拟合增长曲线。多项式模型可以更准确地预测温度对增长率的影响,从而达到较高的调整后确定系数(0.98)。因此,建立的模型可以有效预测乳化猪肉香肠中TBARS含量和TVC的增长。

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