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中国精品科技期刊2020
刘旺星, 陈雄飞, 余佳佳, 刘木华, 胡淑芬, 卢帆. 胡萝卜微波干燥特性及动力学模型[J]. 食品工业科技, 2019, 40(9): 68-72,77. DOI: 10.13386/j.issn1002-0306.2019.09.013
引用本文: 刘旺星, 陈雄飞, 余佳佳, 刘木华, 胡淑芬, 卢帆. 胡萝卜微波干燥特性及动力学模型[J]. 食品工业科技, 2019, 40(9): 68-72,77. DOI: 10.13386/j.issn1002-0306.2019.09.013
LIU Wang-xing, CHEN Xiong-fei, YU Jia-jia, LIU Mu-hua, HU Shu-fen, LU Fan. Microwave Drying Characteristics and Kinetic Model of Carrot[J]. Science and Technology of Food Industry, 2019, 40(9): 68-72,77. DOI: 10.13386/j.issn1002-0306.2019.09.013
Citation: LIU Wang-xing, CHEN Xiong-fei, YU Jia-jia, LIU Mu-hua, HU Shu-fen, LU Fan. Microwave Drying Characteristics and Kinetic Model of Carrot[J]. Science and Technology of Food Industry, 2019, 40(9): 68-72,77. DOI: 10.13386/j.issn1002-0306.2019.09.013

胡萝卜微波干燥特性及动力学模型

Microwave Drying Characteristics and Kinetic Model of Carrot

  • 摘要: 为研究胡萝卜微波干燥特性,开展不同微波功率(406、567、700 W)、切片厚度(2、4、6 mm)和载料量(30、40、90 g)的干燥试验研究,探讨了其失水速率、干基含水率的干燥特性曲线和有效水分扩散系数Deff的影响规律,构建了胡萝卜薄层干燥动力学模型。结果表明:胡萝卜微波干燥分为预加热干燥阶段和降速干燥阶段;微波功率700 W、切片厚度6 mm和载料量30 g时,干燥效果最佳;通过回归拟合分析,Page动力学模型最适于描述胡萝卜微波干燥过程,模型决定系数R2均大于0.98,验证试验最大误差为6.91%。

     

    Abstract: In order to study the microwave drying characteristics of carrots,the drying test of different microwave power(406,567,700 W),slice thickness(2,4,6 mm)and loading amount(30,40,90 g)was carried out,and the water loss rate was discussed. The drying characteristic curve of dry water content and the effect of effective water diffusion coefficient Deff were studied to construct a thin layer drying dynamics model of carrot. The results showed that the microwave drying of carrots was divided into preheating drying stage and slowing drying stage,and the constant-speed drying process time was short;With the conditions of microwave power 700 W,slice thickness 6 mm and loading amount 30 g,the drying effect was the best. By regression fitting analysis,the Page dynamics model was most suitable for describing the microwave drying process of carrots. The model determination coefficient R2 was greater than 0.98,and the maximum error of the verification test was 6.91%.

     

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