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中国精品科技期刊2020
卿果,徐剑,缪艳燕,等. 枸杞浸膏微波真空干燥特性及干燥动力学模型研究[J]. 食品工业科技,2023,44(5):222−229. doi: 10.13386/j.issn1002-0306.2022040215.
引用本文: 卿果,徐剑,缪艳燕,等. 枸杞浸膏微波真空干燥特性及干燥动力学模型研究[J]. 食品工业科技,2023,44(5):222−229. doi: 10.13386/j.issn1002-0306.2022040215.
QING Guo, XU Jian, MIAO Yanyan, et al. Study on the Microwave Vacuum Drying Characteristics and Drying Kinetic Model of Lycium barbarum Extract[J]. Science and Technology of Food Industry, 2023, 44(5): 222−229. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022040215.
Citation: QING Guo, XU Jian, MIAO Yanyan, et al. Study on the Microwave Vacuum Drying Characteristics and Drying Kinetic Model of Lycium barbarum Extract[J]. Science and Technology of Food Industry, 2023, 44(5): 222−229. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022040215.

枸杞浸膏微波真空干燥特性及干燥动力学模型研究

Study on the Microwave Vacuum Drying Characteristics and Drying Kinetic Model of Lycium barbarum Extract

  • 摘要: 为探究枸杞浸膏的微波真空干燥特性,通过考察微波功率密度、浸膏初始相对密度对浸膏温度、干基含水率、失水速率的影响规律,建立其水分比与干燥时间关系的干燥动力学预测模型,并对模型进行验证。实验结果表明枸杞浸膏微波真空干燥过程可分为两个阶段:浸膏由流体状态转变为半流体状态(阶段Ⅰ);由半流体状态转变为干膏状态(阶段Ⅱ)。微波功率密度越大、初始相对密度越大,浸膏温度上升趋势越明显;干基含水率下降越快,失水速率变化幅度越大,所需干燥时间越短。通过拟合6种常用的薄层干燥经验模型,其中Wang模型R2在0.98878~0.99902之间, X 2和SSE分别小于0.0017和0.00849,均为6个模型中的最小值。且经过验证,该模型的预测值与实验值基本拟合,可以较好的预测微波真空干燥过程中枸杞浸膏水分的变化规律。

     

    Abstract: In order to investigate the microwave vacuum drying characteristics of Lycium barbarum extract, the prediction model of drying kinetics of the relationship between its moisture ratio and drying time was established by investigating the influence rule of microwave power density and the initial relative density of the extract on the temperature, dry basis moisture content and water loss rate of the extract, and the model was validated. The experimental results showed that the microwave vacuum drying process of Lycium barbarum extract could be divided into two stages: The extract was transformed from a fluid state to a semi-fluid state (stage I) and from a semi-fluid state to a dry paste state (stage II). The higher the microwave power density and the initial relative density, the rising trend of the temperature of the extract seemed more obvious. The faster the water content of the dry base decreased, the greater the change in the rate of water loss, and the shorter the drying time required. By fitting six commonly used empirical models for thin-layer drying, among which the Wang model R2 was between 0.98878~0.99902, X 2 and SSE were less than 0.0017 and 0.00849, which were the smallest values among the six models. And after verification, the predicted values of the model were basically fitted with the experimental values, which could better predict the moisture of Lycium barbarum extract during microwave vacuum drying change rule.

     

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