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中国精品科技期刊2020
王晶晶, 董福, 冯叙桥, 段小明, 杨方威, 吕佳煜, 杨文晶. 不同温度贮藏凌枣V_C含量的动态变化模型[J]. 食品工业科技, 2016, (01): 338-341. DOI: 10.13386/j.issn1002-0306.2016.01.059
引用本文: 王晶晶, 董福, 冯叙桥, 段小明, 杨方威, 吕佳煜, 杨文晶. 不同温度贮藏凌枣V_C含量的动态变化模型[J]. 食品工业科技, 2016, (01): 338-341. DOI: 10.13386/j.issn1002-0306.2016.01.059
WANG Jing- jing, DONG Fu, FENG Xu-qiao, DUAN Xiao-ming, YANG Fang- wei, LV Jia-yu, YANG Wen-jing. Dynamic models of Lingzao VC content changes during storage at different storage temperatures[J]. Science and Technology of Food Industry, 2016, (01): 338-341. DOI: 10.13386/j.issn1002-0306.2016.01.059
Citation: WANG Jing- jing, DONG Fu, FENG Xu-qiao, DUAN Xiao-ming, YANG Fang- wei, LV Jia-yu, YANG Wen-jing. Dynamic models of Lingzao VC content changes during storage at different storage temperatures[J]. Science and Technology of Food Industry, 2016, (01): 338-341. DOI: 10.13386/j.issn1002-0306.2016.01.059

不同温度贮藏凌枣V_C含量的动态变化模型

Dynamic models of Lingzao VC content changes during storage at different storage temperatures

  • 摘要: 实验试图寻找能够定量描述凌枣(Zizyphus jujube Mill.cv.Lingzao)分别在0、4、10、20℃贮藏期间VC含量变化规律的方法。实验首先选取零级动力学模型、一级动力学模型和一个基于Weibull分布的模型分别来对不同温度下所测得的实验数据进行拟合,得到不同温度下不同模型的模型参数以及拟合效果统计学信息。根据R2adj、RMSE、χ2、AIC这些拟合效果统计学指标对不同温度下,上述3种模型的拟合优度进行比较,并用速率参数-温度关系模型Y=ln(1+expc(T-Tc))来拟合速率参数随温度的变化规律。结果表明:0、4、10及20℃贮藏条件下,均是Weibull模型的R2adj值最接近于1,且RMSE、χ2值最小,拟合度最高。赤池信息量准则筛选出凌枣0、4、10℃下VC含量预测最佳模型为Weibull模型,20℃下为一级动力学模型。Weibull模型速率参数随温度变化规律的拟合结果为R2adj值等于0.9894,表明上述速率参数-温度关系模型拟合效果较好,可以用来估计某特定温度下Weibull模型的反应速率参数。 

     

    Abstract: The VCchanges in jujube fruits( Zizyphus jujube Mill. cv. Lingzao) during storage at 0,4,10,20 ℃,respectively,were investigated to find a mathematical way to quantitatively predict its changes. Zero- and first-order kinetics models and a model based on Weibull distribution were firstly employed to fit the experimental data.Values of R2adj、RMSE、χ2、AIC and concrete model parameters for each model were calculated from the experimental data to evaluate the model suitability.A rate constant- temperature model Y = ln( 1 + expc( T- Tc) )was then applied to figure out the relationship between the caltulated rate parameter and storage temperature.Results showed that Weibull model fitted best for all storage temperatures since it had R2 adjvalues closest to 1 and the lowest RMSE and χ2values.According to Akaike's Information Criteria,Weibull model was more appropriate to predict Vcchanges during storage than the other two at 0,4 and 10 ℃ while first order kinetic model performed the best in the 20 ℃ situation. R2 adjvalue of the rate constant- temperature model was 0.9894 indicating that it was appropriate for its application in the estimation of rate constant of Weibull model for a known temperature.

     

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