响应面法优化酒蒸南五味子炮制工艺

崔春利; 寇欢; 董媛媛; 张化为; 邓翀

doi:10.13422/j.cnki.syfjx.2014180009

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响应面法优化酒蒸南五味子炮制工艺

工艺与制剂 | 更新时间：2024-01-04

- 响应面法优化酒蒸南五味子炮制工艺
- Optimization of Rice Wine Steaming Process of Schisandrae Sphenantherae Fructus with Response Surface Methodology
- 中国实验方剂学杂志 2014年20卷第18期页码：9-12
- 作者机构：
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目（30902002，81374028）;陕西省中医药管理局项目（13-ZY014）;陕西省重点科技创新团队计划项目（2013KCT-26）
- DOI：10.13422/j.cnki.syfjx.2014180009
  中图分类号： R283
- 纸质出版日期：2014
- 稿件说明：
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崔春利, 寇欢, 董媛媛, 等. 响应面法优化酒蒸南五味子炮制工艺[J]. 中国实验方剂学杂志, 2014,20(18):9-12.

CUI Chun-li, KOU Huan, DONG Yuan-yuan, et al. Optimization of Rice Wine Steaming Process of Schisandrae Sphenantherae Fructus with Response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2014, 20(18): 9-12.
崔春利, 寇欢, 董媛媛, 等. 响应面法优化酒蒸南五味子炮制工艺[J]. 中国实验方剂学杂志, 2014,20(18):9-12. DOI： 10.13422/j.cnki.syfjx.2014180009.

CUI Chun-li, KOU Huan, DONG Yuan-yuan, et al. Optimization of Rice Wine Steaming Process of Schisandrae Sphenantherae Fructus with Response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2014, 20(18): 9-12. DOI： 10.13422/j.cnki.syfjx.2014180009.

摘要

目的：优选酒蒸南五味子的炮制工艺参数。方法：以皂苷类、木脂素类及多糖类成分含量的综合评分为因变量，运用Box-Behnken试验考察加酒量、闷润时间、蒸制时间对酒蒸南五味子炮制工艺的影响，运用Design Expert 8.05软件对试验数据进行分析，建立综合评分与各自变量的多元二次回归方程的数学模型，通过响应面分析确定工艺参数。采用UV测定各指标成分含量，检测波长分别为540，560，484 nm。结果：最佳酒蒸工艺参数为每100 g药材加酒量11 g，闷润时间1 h，蒸制时间6.5 h；皂苷类、木脂素类及多糖类成分的质量分数平均值分别为6.386%，12.297%，4.659%，RSD分别为2.31%，3.22%，1.46%；综合评分95.58，与理论预测值（96.28）偏差0.72%。结论：从多化学组分含量综合评分优选的炮制工艺能更科学、合理地控制酒蒸南五味子的饮片质量。

Abstract

Objective: To optimize rice wine steaming process of Schisandrae Sphenantherae Fructus. Method: According to contents of saponins

lignans

polysaccharides from Schisandrae Sphenantherae Fructus in composite score for index

Box-Behnken experimental design was adopted to investigate effects of wine content

soaking time and steaming time on processing technology

experimental data analysis was disposed by Design Expert 8.05 software

multivariate quadratic regression equation mathematical model between composite score and independent variables was established

then determined technical parameters by response surface methodology.UV was employed to determine contents of index components with detection wavelength of 540

560

484 nm

respectively. Result: Optimal processing parameters were as follows:added 11 g of wine for per 100 g of herbs

soaking time of 1 h

steaming time of 6.5 h;average contents of saponins

lignans and polysaccharides were 6.386%

12.297% and 4.659% with RSD of 2.31%

3.22% and 1.46%

respectively;composite score was 95.58 with deviation of 0.72% by comparing with the theoretical prediction value of 96.28. Conclusion: This optimized process can scientifically and reasonably control quality of Schisandrae Sphenantherae Fructus pieces.

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