摘要
目的探究真空预冷毛豆贮藏过程中色泽和失重率变化规律及其动力学模型。方法将真空预冷毛豆贮藏在0、5、10℃温度条件下,研究其色泽L^*、a^*、b^*、△E和失重率随贮藏时间的变化规律,采用动力学模型对指标进行分析,并结合Arrhenius方程建立基于色泽和失重率变化的预测模型。结果在实验条件下,贮藏温度越低,真空预冷毛豆的色泽和失重率变化速率越慢。不同贮藏温度下毛豆色泽和失重率变化符合零级动力学规律和Arrhenius方程,色泽L^*、a^*、?E和失重率的活化能Ea分别为27.78、49.70、30.55、54.32 kJ/mol,建立依赖于温度-时间的色泽和失重率动力学模型,验证表明其模型拟合度良好(r2>0.9)。结论动力学模型能够预测真空预冷毛豆贮藏期间色泽和失重率的变化,为毛豆冷藏期间色泽和失重率的变化提供理论依据。
Objective To explore the change and kinetic model of color and weight loss rate of vacuum precooled soybean during storage.Methods The changes of color L^*,a^*,b^*,∆E and weight loss rate of vacuum precooled soybean with storage time were investigated at 0,5,10℃.The indexes were analyzed by kinetic law,and prediction models based on color and weight loss rate were established by combining Arrhenius equation.Results The lower the storage temperature,the change rates of color and weight loss rate of vacuum precooled soybean at the experimental conditions were slower.The changes of color and weight loss rate of soybean at different storage temperature were in accordance with the zero order kinetic and Arrhenius equation,the activation energy of color L^*,a^*,∆E and weight loss rate Ea were 27.78,49.70,30.55 and 54.32 kJ/mol,respectively,and the kinetic models of color and weight loss rate dependent on temperature-time were established.Verification results showed that the model fitting degree was good(r 2>0.9).Conclusion The kinetic model can predict the color and weight loss of vacuum precooled soybean during storage,which can provide a theoretical basis for the changes of color and weight loss in vacuum precooled soybean..
作者
张晓娟
刘贵珊
邓改革
陈亚鹏
李燕
ZHANG Xiao-Juan;LIU Gui-Shan;DENG Gai-Ge;CHEN Ya-Peng;LI Yan(School of Agriculture,Ningxia University,Yinchuan 750021,China;School of Civil and Hydraulic Engineering Engineering,Ningxia University,Yinchuan 750021,China)
出处
《食品安全质量检测学报》
CAS
2020年第12期3861-3867,共7页
Journal of Food Safety and Quality
基金
宁夏回族自治区重点研发计划重大项目(2018BCF01001)。
关键词
毛豆
真空预冷
色泽
失重率
动力学模型
soybean
vacuum precooling
colour
weight loss rate
kinetic model
