不同品种核桃坚果货架期预测动力学模型构建与应用

Construction and application of dynamic models for predicting shelf life of different varieties of walnut nuts

  • 摘要: 【目的】 构建适用于不同品种核桃坚果货架期预测动力学模型,为生产中核桃坚果贮藏时间的预判和氧化酸败调控技术研发提供理论依据。 【方法】 以温185、新新2和扎343核桃坚果(带壳和不带壳)为试材,分别将其置于37℃恒温箱中,定期取样进行酸价(AV)、过氧化值(POV)的测定和感官评价,利用化学反应动力学模型,结合阿伦尼乌斯(Arrhenius)方程,分别构建适于不同品种核桃坚果货架期预测模型,并进行应用验证。 【结果】 随贮藏时间延长,温185、新新2、扎343核桃坚果(带壳和不带壳)AV和 POV均呈上升的趋势,感官评分不断下降。AV的变化符合零级反应动力学模型,POV的变化符合一级反应动力学模型,故三个品种核桃坚果(带壳和不带壳)基于AV的货架期预测动力学模型为:S L 0=\fracC \quad C 03128.8 e^\frac26009.718.8147;基于POV的货架期预测动力学模型为:S L 1=\frac\ln \fracCC 03128.8 e^\frac26009.718.8147。 【结论】 三个品种核桃坚果货架期预测值与实测值间误差均小于10%,模型可较好地预测核桃坚果的货架期。

     

    Abstract: 【Objective】 The study aims to construct a dynamic model for predicting shelf life of different varieties of walnuts,which provides a theoretical basis for the prediction of storage time and the development of oxidative rancidity control technology of walnut nuts in production. 【Methods】 Wen185,Xinxin 2,Zha 343dried walnut (with shell and without shell) were taken as the test materials, and they were placed in 37℃ incubator respectively. Then the samples were taken regularly to determine acid value(AV), peroxide value(POV) and to make the sensory evaluation. Meanwhile, a chemical reaction kinetic model and Arrhenius equation were employed to construct the model for predicting shelf life of different varieties of walnuts, moreover, and afterwards, the model were applied and verified. 【Results】 The AV and the POV increased and the sensory score decreased in all samples during storage period. The linear fitting function of AV and POV with respect to time was known that the change of AV was consistent with the zero-order reaction kinetic model, the change of POV was consistent with the first-order reaction kinetic model, therefore, the shelf life prediction dynamics model based on AV of the three varieties of walnut nuts(with shell and without shell) was:S L 0=\fracC \quad C 03128.8 e^\frac26009.718.8147; The shelf life prediction dynamics model based on POV of the three varieties of walnut nuts(with shell and without shell) was:S L 1=\frac\ln \fracCC 03128.8 e^\frac26009.718.8147. 【Conclusion】 The error between the predicted value and the measured value was less than 10% of the three varieties of walnut nuts by verified.The model can predict the shelf life of walnut nuts well.

     

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