栀子黄色素低温真空干燥模型建立与评价

刘伟; 黄立新; 张彩虹; 谢普军; ASMujumdar

doi:10.3969/j.jssn.1000-2006.2011.05.021

栀子黄色素低温真空干燥模型建立与评价

刘伟，黄立新*，张彩虹，谢普军，ASMujumdar

南京林业大学学报（自然科学版） ›› 2011, Vol. 35 ›› Issue (05) : 95-98.

PDF(1462712 KB)

国家林草科技领军期刊
中国精品科技期刊
中国高校百佳科技期刊
江苏省新闻出版政府奖期刊奖
RCCSE林学权威期刊（A+）
CSCD核心期刊
Scopus数据库收录期刊
中文核心期刊
SCD核心期刊

作者加群：102861116

微信公众号：南京林业大学学报

高级检索

PDF(1462712 KB)

南京林业大学学报（自然科学版） ›› 2011, Vol. 35 ›› Issue (05) : 95-98. DOI: 10.3969/j.jssn.1000-2006.2011.05.021

研究论文

栀子黄色素低温真空干燥模型建立与评价

刘伟^1,2，黄立新^1,2*，张彩虹^1,2，谢普军^1,2，A S Mujumdar³

作者信息 +

Modeling and evaluation of lowtemperature racuum drying of Gardenia yellow pigment

LIU Wei^1,2, HUANG Lixin^1,2*,ZHANG Caihong^1,2, XIE Pujun^1,2, A S Mujumdar*

Author information +

文章历史 +

摘要

选择加热板温度为45 ℃、真空度为008 MPa、料层厚度为7 mm和料液质量分数为20 %的栀子黄色素干燥试验数据作为实测样本，基于Matlab软件，对传统干燥模型进行非线性最小二乘数据拟合求解，确定各模型的干燥常数，建立栀子黄色素薄层干燥数学模型。同时分析了天然栀子黄色素原液低温真空干燥制粉的动力学过程。在常用的8种经验、半经验薄层干燥数学模型中，Page模型对栀子黄色素低温真空干燥过程的拟合效果最佳，该模型可以较好地描述和预测干燥过程中栀子黄色素原液含水率与干燥时间的关系。

Abstract

The test was performed with the heating temperature of 45 ℃, the vacuum level of 008 MPa, solution thickness of 7 mm and the solution mass concentration of 20 %. The drying kinetics for lowtemperature vacuum drying of Gardenia yellow pigment solution were studied. Eight frequentlyused mathematical models in describing the characteristics of thinlayer drying were simulated using Matlab. The simulation results showed that Page model gave the best prediction. Validation experiment also showed that Page model could describe and predict the relationship between the moisture ratio and drying time for lowtemperature vacuum drying of Gardenia yellow pigment solution very well.

引用本文

EndNote

Ris (Procite)

Bibtex

导出引用

刘伟，黄立新*，张彩虹，谢普军，ASMujumdar. 栀子黄色素低温真空干燥模型建立与评价[J]. 南京林业大学学报（自然科学版）. 2011, 35(05): 95-98 https://doi.org/10.3969/j.jssn.1000-2006.2011.05.021

LIU Wei, HUANG Lixin*,ZHANG Caihong, XIE Pujun, A S Mujumdar*. Modeling and evaluation of lowtemperature racuum drying of Gardenia yellow pigment[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2011, 35(05): 95-98 https://doi.org/10.3969/j.jssn.1000-2006.2011.05.021

中图分类号： TQ351.0 TQ02

参考文献

[1]刘伟,黄立新.天然色素干燥技术研究进展[J].林产化学与工业,2009,29(B10):219-224.
[2]肖旭霖.洋葱真空远红外薄层干燥模型[J].食品科学,2002,23(5):40-43.
[3]张玉荣,周显青,刘通.玉米热风和真空干燥特性与干燥模型分析[J].河南工业大学学报,2010,31(2):9-14.
[4]林喜娜,王相友.苹果切片红外干燥模型的建立与评价[J].农业机械学报,2010,41(6):128-132.
[5]Omid M, Baharlooei A, Ahmadi H. Modeling drying kinetics of pistachio nuts with multilayer feedforward neural network[J]. Drying Technology, 2009, 27(10) : 1069-1077.
[6]Wang Z F, Fang S Z, Hu X S. Effective diffusivities and energy consumption of whole fruit Chinese Jujube (Zizyphus jujuba Miller) in microwave drying[J]. Drying Technology, 2009, 27(10):1097-1104.
[7]VegaGálvez A, Andrés A, Gonzaleza E, et al. Mathematical modelling on the drying process of yellow squat lobster (Cervimunida jhoni) fishery waste for animal feed[J]. Animal Feed Science and Technology, 2009, 151(3): 268-279.
[8]Cihan A, Kahveci K, Hac haf zoglu O. Modelling of intermittent drying of thin layer rough rice[J]. Journal of Food Engineering, 2007, 79(1): 293-298.
[9]刘伟,黄立新.天然栀子黄色素的低温真空干燥研究[J].林产化学与工业,2011,31(1):57-62.
[10]Akpinar E K, Bicer Y. Mathematical modelling of thin layer drying process of long green pepper in solar dryer and under open sun[J]. Energy Conversion and Management, 2008, 49(6): 1367-1375.
[11]Wang Z, Sun J, Liao X, et al. Mathematical modeling on hot air drying of thin layer apple pomace[J]. Food Research International, 2007, 40(1): 39-46.
[12]Diamante L M, Munro P A. Mathematical modelling of the thin layer solar drying of sweet potato slices[J]. Solar Energy, 1993, 51(4): 271-276.
[13]Zhang Q, Litchfield J B. An optimization of intermittent corn drying in a laboratory scale thin layer dryer[J]. Drying Technology, 1991, 9(1): 233-244.
[14]Henderson S M, Pabis S. Grain drying theory: Temperature effects on drying coefficients[J]. Journal of Agricultural Engineering Research, 1961, 6(3)： 169-174.
[15]Midilli A, Kucuk H, Yapar Z. A new model for single layer drying[J]. Drying Technology, 2002, 20(7): 1503-1513.
[16]邢继娟,葛含益,卜广志.仿真模型置信度分析方法研究[J].军事运筹与系统工程,2005,19(4):35-39.

基金

收稿日期：2011-01-10修回日期：2011-06-07基金项目：国家林业局重点科研项目(2011-02)；国家高技术研究发展计划（2011AA100802）；中国林科院林业新技术研究所基本科研业务费专项基金项目(CAFINT2010K05)作者简介：刘伟(1983—)，硕士生。*黄立新（通信作者），研究员，博士。Email：l_x_huang@163.com。