Optimization of Extraction Technology for Total Flavonoids from  L. by Central Composite Design Response Surface Methodology

QIU Hong-cong; LIU Bu-ming

doi:10.11653/syfj2013120046

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Optimization of Extraction Technology for Total Flavonoids from L. by Central Composite Design Response Surface Methodology

更新时间：2024-01-04

- Optimization of Extraction Technology for Total Flavonoids from L. by Central Composite Design Response Surface Methodology
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 19, Issue 12, Pages: 46-49(2013)
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- DOI：10.11653/syfj2013120046
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- Published：2013
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QIU Hong-cong, LIU Bu-ming. Optimization of Extraction Technology for Total Flavonoids from L. by Central Composite Design Response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(12): 46-49.
DOI：

QIU Hong-cong, LIU Bu-ming. Optimization of Extraction Technology for Total Flavonoids from L. by Central Composite Design Response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(12): 46-49. DOI： 10.11653/syfj2013120046.

摘要

目的: 优选岗松总黄酮的提取工艺条件。方法: 以总黄酮含量为指标

乙醇体积分数、固液比、提取时间为考察因素

采用星点设计-效应面法优选岗松中总黄酮的提取工艺

并进行预测分析。结果: 最佳提取工艺为加16倍量70%乙醇提取3次

每次60 min

总黄酮平均质量分数1.43%。结论: 实测值与预测值吻合度高

预测性良好

优选的提取工艺合理可行。

Abstract

Objective: To optimize extraction technology of total flavonoids from Baeckea frutescens L. Method: With the content of total flavonoids as index

ethanol concentration

solid-liquid ratio and extraction time as factors

central composite design and response surface methodology was used for optimize of extraction technology of total flavonoids from B. frutescens L.

then predicted optimal exaction process. Result: Optimum extraction technology conditions were as follows:extracted 3 times with 16 times the amount of 70% ethanol

60 min each time.Under this technology

the average mass fraction of total flavonoids was 1.43%. Conclusion: The observed value and the predicted value were close

which proved that optimizied technology was reasonable and feasible with good predictability.

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YU Yang

ZHOU Li-ling

WEI Min

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HUANG Yuan-hong

WEI Tian-xi

ZHANG Fa-sheng

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Related Institution

College of Pharmacy,Shenyang Pharmaceutical University

Guangzhou of TCM

广州中医药大学广东广州510405

College of Pharmacy, Chengdu University of TCM

Key Laboratory of Active Ingredients in Traditional Chinese Medicine(TCM) Co-constructed by Jilin Province and Ministry of Education, Changchun University of Chinese Medicine

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