详细信息

星点设计-效应面法优化当归提取工艺    

Optimation the Extracting Technology of Angelica sinensis by Central Composite Design and Response Surface Methodology

文献类型:期刊文献

中文题名:星点设计-效应面法优化当归提取工艺

英文题名:Optimation the Extracting Technology of Angelica sinensis by Central Composite Design and Response Surface Methodology

作者:刘雄[1];陈丽萍[1];夏鹏飞[1];刘峰林[1];樊秦[1];赵磊[1]

第一作者:刘雄

机构:[1]甘肃中医学院/甘肃省高校中(藏)药化学与质量研究省级重点实验室,甘肃兰州730000

第一机构:甘肃中医药大学科研实验中心(甘肃省中医药标准化技术委员会秘书处)

年份:2013

卷号:36

期号:11

起止页码:1853

中文期刊名:中药材

外文期刊名:Journal of Chinese Medicinal Materials

收录:MEDLINE(收录号:24956828);CSTPCD;;Scopus;北大核心:【北大核心2011】;CSCD:【CSCD2013_2014】;PubMed;

基金:甘肃省中医药科学技术研究课题(GZK-2010-57);定西市科技合作项目(2011-2)

语种:中文

中文关键词:当归;星点设计-效应面法;提取工艺

外文关键词:Angelica sinensis( Oliv.) Diels; Central Composite Design-Response Surface Methodology; Extracting technology

摘要:目的:采用星点设计-效应面法对当归的提取工艺进行优化。方法:在单因素考察的基础上,以甲醇浓度、溶剂用量、超声提取时间为自变量,阿魏酸、藁本内酯得率的"归一化"值为因变量,通过对自变量各水平进行二项式拟合,运用效应面法优化最佳工艺。结果:最优工艺条件为:加入30倍量70%甲醇,超声提取1次,时间30min;总评"归一值"的预测值与理论值偏差1.23%。结论:采用星点设计-效应面法优化当归提取的工艺条件,方法简便可靠,预测性较优。
Objective:To optimize the extracting technology from Angelica sinensis by central composite design-response surface methodology. Methods : On the basis of the single factor,independent variables were ethanol concentrations, solvent ratio and ultrasonic time ,while dependent variable was the OD value of extraction rates of ferulic acid and liqustilide. A two-order polynomial equation was fitted to estimate the relationship between independent and dependent variables. Response surface metbod was used to optimize the ex- tracting process. Results : The optimum extraetion conditions for Angelica sinesis were obtained as follows : the extracting solvent was methanol concentrations of 70% ,30 fold solvent, extracting for once and for 40 minutes. ]'he deviation between observed and predicted values was 1.23%. Conclusion:The result indicates that the central composite design and response surface methodology is simple, convenient and reliable for optimizing the extraction process of Angelica sinesis with higher precision.

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