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作 者:卿果 徐剑 缪艳燕 张永萍 赵罗娜 程纯 吴琦 吴京 QING Guo;XU Jian;MIAO Yanyan;ZHANG Yongping;ZHAO Luona;CHENG Chun;WU Qi;WU Jing(College of Pharmacy,Guizhou University of Traditional Chinese Medicine,Guiyang 550025,China;Guizhou Engineering Research Center for Processing and Preparation of Traditional Chinese Medicines,Guiyang 550025,China;National Engineering Research Center for Miao Medicine,Guiyang 550025,China;Guizhou Xinqi Microwave Industry Co.,Ltd.,Guiyang 550025,China)
机构地区:[1]贵州中医药大学药学院,贵州贵阳550025 [2]贵州中药炮制与制剂工程技术研究中心,贵州贵阳550025 [3]国家苗药工程技术研究中心,贵州贵阳550025 [4]贵州新奇微波工业有限责任公司,贵州贵阳550025
出 处:《食品工业科技》2023年第5期222-229,共8页Science and Technology of Food Industry
基 金:贵州省省级科技计划项目资助,基于物理、化学指纹谱评价微波组合干燥对浸膏品质特性的影响研究(黔科合基础-ZK[2021]一般533);贵州省药物新剂型新工艺科技创新人才团队(黔科合平台人才[2017]5655);贵州省国内一流学科建设项目(GNYL[2017]008);省属高校科研平台团队项目(黔教技[2022]022)。
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R^(2)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。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(stageⅠ)and from a semi-fluid state to a dry paste state(stageⅡ).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 R^(2)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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