正交试验和BP人工神经网络模型优化胰蛋白酶提取鱼腥草多糖的工艺

邵方元; 付腾飞; 薛兴阳; 周苏娟; 陈宏远; 孟江; 王颖芳

doi:10.11653/syfj2013110014

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正交试验和BP人工神经网络模型优化胰蛋白酶提取鱼腥草多糖的工艺

更新时间：2024-01-04

- 正交试验和BP人工神经网络模型优化胰蛋白酶提取鱼腥草多糖的工艺
- Optimization of Trypsin Extraction Technology of Polysaccharides from by Orthogonal Test and BP Artificial Neural Network Model
- 中国实验方剂学杂志 2013年19卷第11期页码：14-17
- 作者机构：
- 作者简介：
- 基金信息：
  
  广州市卫生局中医药科研课题(2010A32)
- DOI：10.11653/syfj2013110014
  中图分类号：
- 纸质出版日期：2013
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邵方元, 付腾飞, 薛兴阳, 等. 正交试验和BP人工神经网络模型优化胰蛋白酶提取鱼腥草多糖的工艺[J]. 中国实验方剂学杂志, 2013,19(11):14-17.

SHAO Fang-yuan, FU Teng-fei, XUE Xing-yang, et al. Optimization of Trypsin Extraction Technology of Polysaccharides from by Orthogonal Test and BP Artificial Neural Network Model[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(11): 14-17.
邵方元, 付腾飞, 薛兴阳, 等. 正交试验和BP人工神经网络模型优化胰蛋白酶提取鱼腥草多糖的工艺[J]. 中国实验方剂学杂志, 2013,19(11):14-17. DOI： 10.11653/syfj2013110014.

SHAO Fang-yuan, FU Teng-fei, XUE Xing-yang, et al. Optimization of Trypsin Extraction Technology of Polysaccharides from by Orthogonal Test and BP Artificial Neural Network Model[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(11): 14-17. DOI： 10.11653/syfj2013110014.

摘要

目的: 正交试验和BP神经网络模型优选胰蛋白酶法提取鱼腥草多糖的工艺条件。方法: 以多糖得率及其含量为指标

结合正交试验和人工神经网络方法

考察加酶量、温度、时间对提取工艺条件的影响。结果: BP神经网络模型优化工艺为加胰蛋白酶量2.5%

于45 ℃温浸2.4 h;正交试验优选的工艺条件为加胰蛋白酶量2%

于45 ℃温浸时间2.5 h;前者的综合评分略高于后者。结论: BP神经网络模型法优选的提取工艺耗时短、耗能低

在实际应用中具有较好成效。

Abstract

Objective: To optimize trypsin extraction technology of polysaccharides from Houttuynia cordata by BP-neural network model and orthogonal test. Method: With yield and content of polysaccharides as indexes

effect of the dosage of trypsin

time and temperature on extraction technology by orthogonal test and artificial neural network. Result: Optimum extraction technology of orthogonal test was as following:the dosage of trypsin 2%

soaked 2.5 h at 45 ℃;Optimum extraction technology of BP neural network model was as following:the dosage of trypsin 2.5%

soaked 2.4 h at 45 ℃

which was higher than orthogonal design in comprehensive score. Conclusion: Optimized extraction technology of BP neural network model had good results in practical applications for short time and low energy consuming.

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