首页 | 本学科首页   官方微博 | 高级检索  
检索        

星点设计-效应面法优化健脾颗粒的提取工艺
引用本文:李永生,张春玲,杨华.星点设计-效应面法优化健脾颗粒的提取工艺[J].中国药师,2012(12):1685-1688.
作者姓名:李永生  张春玲  杨华
作者单位:西安交通大学医学院附属红会医院
摘    要:目的:以星点设计-效应面法优选健脾颗粒的提取工艺。方法:以加水量和提取时间为自变量,以橙皮苷转移率为因变量对自变量各水平进行多元线性回归和二项式拟合,用效应面法选择较佳工艺条件,并进行预测分析。结果:确定较优提取工艺为加11倍量水,提取时间80 min,提取2次,提取率实测值与预测值偏差为0.54%,二项式拟合复相关系数r=0.958 3。结论:采用星点设计-效应面法优选健脾颗粒的提取工艺,方法简便,预测性良好。

关 键 词:橙皮苷  星点设计  效应面优化法  健脾颗粒  提取工艺
收稿时间:7/9/2012 12:00:00 AM
修稿时间:2012/8/29 0:00:00

Optimization of the Extraction Process of Jianpi Granules by Central Composite Design-Response Surface Methodology
Li Yongsheng,Zhang Chunling and Yang Hua.Optimization of the Extraction Process of Jianpi Granules by Central Composite Design-Response Surface Methodology[J].China Pharmacist,2012(12):1685-1688.
Authors:Li Yongsheng  Zhang Chunling and Yang Hua
Institution:(Honghui Hospital,College of Medicine,Xi’an Jiaotong University,Xi’an 710054,China)
Abstract:ABSTRACT Objective:To optimize the extraction process of Jianpi granules by central composite design-response surface methodology. Method:The independent variables were extraction time and water yield, and the dependent variable was extraction ratio of hesperidin. Linear or no-linear mathematic models were used to estimate the relationship between the independent and dependent variables. Response surface methodology was used to optimize the extraction process. Prediction was carried out through comparing the observed and predicted values.Result:The regression coefficient of binomial fitting complex model was as high as 0.958 3, the optimum extraction conditions were 80 min extraction, 11-fold water and twice extraction. The bias between the observed and predicted values was 0.54%.Conclusion: Central composite design response surface methodology is convenient and highly predictive for optimizing the extraction process of Jianpi granules.
Keywords:
本文献已被 CNKI 等数据库收录!
点击此处可从《中国药师》浏览原始摘要信息
点击此处可从《中国药师》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号