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中国农学通报

中国农学通报 ›› 2010, Vol. 26 ›› Issue (13): 90-93.

所属专题： 园艺

• 食品 营养 检测 安全 • 上一篇    下一篇

基于BP神经网络研究儿茶素在ADS-8树脂固定床中的洗脱过程

肖连冬 李慧星 许彬 臧晋   

  • 收稿日期:2010-02-04 修回日期:2010-03-16 出版日期:2010-07-05 发布日期:2010-07-05
  • 基金资助:

    南阳理工学院基金项目

Studies on The Elution of Catechin in a Fixed Bed Packed With Macroporous Resin ADS-8 Based on BP Neural Network

Xiao Liandong, Li Huixing, Zang Jin, Xu Bin   

  • Received:2010-02-04 Revised:2010-03-16 Online:2010-07-05 Published:2010-07-05

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摘要：

摘要：以信阳毛尖茶叶浸提液为原料，研究ADS-8树脂固定床吸附儿茶素后的洗脱过程，建立模型并优化工艺。基于BP神经网络建立洗脱模型，利用模型对因素进行仿真分析。模型误差为0.00108523，测试样本的试验值和模拟值的相关系数r=0.984，最佳工艺条件是温度20℃、流速1.0mL/min、乙醇浓度30%。基于BP神经网络建立的模型具有很强的逼近能力，为儿茶素在ADS-8树脂固定床中洗脱过程的预测、控制提供一定参考。

关键词: 氟乐灵, 氟乐灵, 诱导, 西葫芦, 染色体, 加倍

Abstract:

Abstract：Catechin from Xinyang tea extracts was as raw material. The experiments were carried out to study the elution of catechin in a fixed bed packed with macroporous resin ADS-8. The BP neural network was used to simulate the process of elution. The factors were predicted and analysed by the model which based on BP neural network . The optimal conditions were temperature 20℃, flow rate 1.0mL/min，ethanol concentration 30%. Error of the modle was 0.00108523 and the correlation coefficient of experimental data and simulated data was 0.984. The model based on BP neural network was feasible.