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作 者:夏磊 黄昭 邹金浩 郭时印[1] 苏小军[1,2] 王锋 李清明[1] XIA Lei;HUANG Zhao;ZOU Jinhao;GUO Shiyin;SU Xiaojun;WANG Feng;LI Qingming(Hunan Engineering Laboratory for Alcohol Fuels from Biomass,College of Food Science and Technology,Hunan Agricultural University,Changsha 410128,Hunan,China;Hunan Collaborative Innovation Center for Utilization of Botanical Functional Ingredients,Changsha 410128,Hunan,China)
机构地区:[1]湖南农业大学食品科学与技术学院生物质醇类燃料湖南省工程实验室,湖南长沙410128 [2]湖南省植物功能成分利用协同创新中心,湖南长沙410128
出 处:《激光生物学报》2019年第1期72-79,83,共9页Acta Laser Biology Sinica
基 金:湖南省教育厅项目(17C0764);湖南省重点研发计划项目(2016NK2113)
摘 要:探索了淮山在不同切分方式、热烫条件、装载量、真空度、转盘转速、温度、切片厚度等干燥条件下的干燥特性,并建立了干燥动力学模型。结果表明:切分方式、装载量、真空度、温度与切片厚度对淮山干燥速率的影响显著。选用6种常用的干燥模型对不同真空度下的试验数据进行非线性回归拟合,并确定了模型参数。结果发现Page模型具有较高的拟合度(R2)与较低的残差平方和,且P <0. 01,说明该模型能较准确地表达和预测淮山微波真空干燥过程的水分变化规律。The microwave-vacuum drying characteristics of Dioscorea opposita Thunb under different parameters such as shapes,blanching conditions,microwave power density,vacuum degree,rotating speed,temperature and slice thickness were studied,and the drying kinetic model was established.The results showed that the slicing methods,microwave power density,vacuum degree,temperature and slice thickness had great influences on the drying rate of Dioscorea opposita Thunb.Nonlinear regression fitting of six drying models under different vacuum were carried out and the model parameters were determined.The results showed that the Page model had higher coefficient of determination(R 2)and lower residual sum of squares(RSS),and P<0.01,which indicated that the model could accurately describe and predict the moisture dynamics of Dioscorea opposita Thunb during microwave-vacuum drying process.
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