响应面分析法优化苦豆子多糖的醇沉工艺

郑夺; 张岩; 王文彤; 陶遵威

doi:10.11653/syfj2013160027

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响应面分析法优化苦豆子多糖的醇沉工艺

更新时间：2024-01-04

- 响应面分析法优化苦豆子多糖的醇沉工艺
- Optimization of Alcohol Precipitation Technology of Polysaccharides from by Response Surface Methodology
- 中国实验方剂学杂志 2013年19卷第16期页码：27-29
- 作者机构：
- 作者简介：
- 基金信息：
  
  天津市应用基础及前沿技术研究计划项目(10JCZDJC21000)
- DOI：10.11653/syfj2013160027
  中图分类号：
- 纸质出版日期：2013
- 稿件说明：
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郑夺, 张岩, 王文彤, 等. 响应面分析法优化苦豆子多糖的醇沉工艺[J]. 中国实验方剂学杂志, 2013,19(16):27-29.

ZHENG Duo, ZHANG Yan, WANG Wen-tong, et al. Optimization of Alcohol Precipitation Technology of Polysaccharides from by Response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(16): 27-29.
郑夺, 张岩, 王文彤, 等. 响应面分析法优化苦豆子多糖的醇沉工艺[J]. 中国实验方剂学杂志, 2013,19(16):27-29. DOI： 10.11653/syfj2013160027.

ZHENG Duo, ZHANG Yan, WANG Wen-tong, et al. Optimization of Alcohol Precipitation Technology of Polysaccharides from by Response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(16): 27-29. DOI： 10.11653/syfj2013160027.

摘要

目的: 优化苦豆子多糖的醇沉工艺。方法: 在单因素试验基础上

以多糖提取率为指标

依据响应面法原理

使用Design Expert软件的中心组合设计建立试验数学模型

考察醇沉时间、乙醇体积分数及用量对醇沉工艺的影响。采用苯酚-浓硫酸法测定苦豆子多糖含量。结果: 最佳醇沉工艺条件为加4.3倍量97%乙醇醇沉26 h

苦豆子多糖提取率6.98%

与预测值(7.03%)的相对误差0.71%。结论: 响应面法可有效用于优化苦豆子多糖的醇沉工艺。

Abstract

Objective: To optimizate alcohol precipitation technology of polysaccharides from Sophora alopecuroides. Method: Based on single-factor test

with yield of polysaccharides as index

precipitation time

the concentration and adding multiples of ethanol was optimized according to mathematic model built by central composite design in Design Expert software on principle of response surface methodology.The content of polysaccharides from S. alopecuroides was determined by phenol-concentrated sulfuric acid method. Result: Optimum alcohol precipitation technology was as following:precipitation time of 26 h

the concentration of ethanol 97%

adding multiples of ethanol 4.3 times.Under these conditions

yield polysaccharides from S. alopecuroides was 6.98% while the predicted value was 7.03%

their relative error was 0.71%. Conclusion: Response surface methodology was effective to optimize alcohol precipitation technology of polysaccharides from S. alopecuroides.

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