食品科学 ›› 2010, Vol. 31 ›› Issue (18): 46-49.doi: 10.7506/spkx1002-6630-201018011

• 工艺技术 • 上一篇    下一篇

星点设计- 效应面法优选短梗五加叶中金丝桃苷的提取工艺

陆 珞,关 键,蔡恩博,徐 蕊,徐春玲,徐海金,郑友兰*   

  1. 吉林农业大学中药材学院
  • 收稿日期:2009-12-16 修回日期:2010-06-17 出版日期:2010-09-25 发布日期:2010-12-29
  • 通讯作者: 郑友兰

Optimizing Hyperin Extraction from Acanthopana sessiliflorus Leaves Using Central Composite Design and Response Surface Methodology

LU Luo,GUAN Jian,CAI En-bo,XU Rui,XU Chun-ling,XU Hai-jin,ZHENG You-lan   

  1. College of Chinese Medicinal Material, Jilin Agricultural University, Changchun 130118, China
  • Received:2009-12-16 Revised:2010-06-17 Online:2010-09-25 Published:2010-12-29
  • Contact: ZHENG You-lan

摘要:

目的:星点设计- 效应面法优选短梗五加叶中金丝桃苷的提取工艺。方法:以乙醇体积分数、提取时间、溶媒比为主要影响因素,金丝桃苷提取率为评价指标,通过对主要因素各水平的多元线性回归及二项式拟合,用岭嵴分析和效应面法选取最佳工艺,并进行预测分析。 结果:确定金丝桃苷最佳提取工艺为乙醇体积分数69.80%,溶媒比23.17,超声提取时间86.56min。结论:星点设计- 效应面法优选的短梗五加叶中金丝桃苷的提取工艺,方法简便,精密度高。

关键词: 短梗五加, 星点设计, 效应面法, 金丝桃苷, 工艺优化

Abstract:

Objective: To develop an optimal process for hyperin extraction from Acanthopana sessiliflorus (Rupr.et Maxim.) leaves. Methods: The major factors affecting hyperin extraction yield were ethanol concentration, extraction time and liquid-tosolid ratio. They were optimized using central composite design and response surface methodology. Multiple linear regression and quadratic polynomial fitting of experimental data obtained from central composite design were carried out to set up a mathematical model with hyperin extraction yield as a function of the above factors. Their optimal values were chosen using ridge analysis and verified experimentally. Results: The optimal conditions for the extraction of hyperin were found to be: ethanol concentration 69.80%, liquid-to-solid ratio 23.17:1 and extraction time 86.56 min. Conclusion: Central composite design and response surface methodology are suitable for optimizing the extraction of hyperin from Acanthopana sessiliflorus leaves. This method is simple, convenient and accurate.

Key words: Acanthopanax sessiliflorus, central composite design, response surface methodology, hyperin, optimization

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