食品科学 ›› 2011, Vol. 32 ›› Issue (2 ): 104-107.doi: 10.7506/spkx1002-6630-201102024

• 工艺技术 • 上一篇    下一篇

响应曲面法优化新疆药桑桑皮总多酚提取工艺

伍春1,徐立1,*,刘峻池1,黄先智1,买买提依明2   

  1. 1.西南大学生物技术学院 2.新疆和田蚕桑科学研究所
  • 收稿日期:2010-03-15 出版日期:2011-01-25 发布日期:2011-01-10
  • 通讯作者: 徐立 E-mail:mulberry@swu.edu.cn
  • 基金资助:

    教育部高等学校博士学科点专项科研基金项目(20090182120018);国家现代农业(蚕桑)产业技术体系项目(nycytx-27-gw504)

Process Optimization for Total Polyphenol Extraction from the Tree Branch Bark of Xinjiang Black Mulberry (Morus nigra L.) by Response Surface Methodology

WU Chun1,XU Li1,*,LIU Jun-chi1,HUANG Xian-zhi1,MAIMAITI Yi-ming2   

  1. 1. College of Biotechnology, Southwest University, Chongqing 400716, China;
    2. Sericulture Research Institute of Hetian Xinjiang, Hetian 848000, China
  • Received:2010-03-15 Online:2011-01-25 Published:2011-01-10
  • Contact: XU Li E-mail:mulberry@swu.edu.cn

摘要:

采用响应曲面法对新疆药桑桑皮中多酚类化合物的提取工艺进行优化。在单因素试验的基础上,选择乙醇体积分数、提取温度、提取时间,进行三因素三水平的Box-Behnken 中心组合试验设计,采用响应曲面法(RSM)分析3 个因素对响应值的影响。结果表明:最佳提取工艺条件为溶剂中乙醇体积分数78%、提取温度70℃、提取时间240min、液料比30:1(mL/g),在此条件下,总多酚的得率达到0.793%。该工艺稳定可靠,可在生产中应用。

关键词: 新疆药桑, 桑皮, 总多酚, 响应曲面

Abstract:

The objective of this study was the optimization of the extraction process for total polyphenols from the tree branch bark of Xinjiang black mulberry (Morus nigra L.) by response surface methodology. Based on single factor experiments, a threefactor, three-level Box-Behnken central composite design (CCD) coupled with response surface analysis (RSM) was employed to probe the effects of ethanol concentration, extraction temperature and length of extraction time on the yield of total polyphenols. It was found that the best extraction conditions were as follows: ethanol concentration, 78%; and liquid/material ratio, 30:1 (mL/g) for an extraction duration of 240 min at 70 ℃, and that a maximum total polyphenol yield of 0.793% under such conditions. The extraction process proves stable and reliable and is applicable for the production of polyphenols.

Key words: Morus nigra L., bark mulberry tree bark, total polyphenols, response surface methodology

中图分类号: