| 引用本文: | 孙世光,郝淑娟,陈丽静,孙蓉.星点设计-效应面法优选牡丹皮中丹皮酚提取工艺[J].中国现代应用药学,2015,32(8):920-923. |
| SUN Shiguang,HAO Shujuan,CHEN Lijing,SUN Rong.Optimization of Extraction Process of Paeonol from Moutan Cortex by Central Composite Design-Response Surface Methodology[J].Chin J Mod Appl Pharm(中国现代应用药学),2015,32(8):920-923. |
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| 摘要: |
| 目的 利用星点设计-效应面法优选牡丹皮中丹皮酚的最佳提取工艺。方法 采用水蒸气蒸馏法提取牡丹皮中丹皮酚，采用星点设计-效应面法优选提取工艺，以液固比(X1)、液馏比(X2)、钠盐率(X3)为自变量，以收率(Y)为因变量，分别进行多元线性方程回归和二次多项式方程拟合，优选最佳提取工艺并进行验证。结果 二次多项式方程拟合度较高，预测性好(r2=0.987 3，AIC=46.12，P<0.05)；星点设计-效应面法优选丹皮酚最佳(最节约)提取工艺条件是X1=17.97(12.03)，X2=4.42(6.49)，X3=7.97(2.03)，工艺验证试验结果与二次多项式拟合方程预测值偏差较小。结论 星点设计-效应面法可用于优选牡丹皮中丹皮酚提取工艺，建立的数学模型预测性较好，优选出的最佳(最节约)提取工艺可供实验室及工业生产参考。 |
| 关键词: 丹皮酚 牡丹皮 提取工艺 效应面法 星点设计 |
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| 基金项目:国家自然科学基金项目(81302887)；山东省科技发展计划项目(2014GSF119034)；山东省中医药科技发展计划项目(2011-107，2013-103) |
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| Optimization of Extraction Process of Paeonol from Moutan Cortex by Central Composite Design-Response Surface Methodology |
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SUN Shiguang1,2, HAO Shujuan1, CHEN Lijing2, SUN Rong3
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1.Shandong University of Traditional Chinese Medicine, Jinan 250355, China;2.Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine/Shandong Hospital of Integrated Medicine, Jinan 250001, China;3.Shandong Academy of Chinese Medicine, Jinan 250014, China
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| Abstract: |
| OBJECTIVE To optimize the extraction process of paeonal from Moutan Cortex by central composite design-response surface methodology. METHODS Paeonal was optimized by central composite design and response surface methodology, which was prepared from Moutan Cortex by steam distillation method. With the ratio of the volume of solvent to the mass of the herb(X1), the ratio of the volume of solvent to the volume of distillate(X2) and the mass fraction of sodium chloride into the distillate(X3) as the independent variables and the yield(Y) as the dependent variable, the binomial and linear equations were fitted to the data, and the resulting equation was used to produce three-dimensional response surface graphs, through which the optimal formulation was predicted, and the best prescription process was verified. RESULTS It showed that the correlation coefficient of second-order quadratic model was higher and the prediction was better(r2=0.987 3, AIC=46.12) than those of linear regression equation. The optimum(the most economical) process for the extraction of paeonol from Moutan Cortex was as follows: X1=17.97(12.03), X2=4.42(6.49), X3=7.97(2.03). The deviation between the result of the best craft verification test and the binomial fitting equation forecast value was acceptable. CONCLUSION Central composite design-response surface methodology is successfully used to optimize the extraction process of paeonol from Moutan Cortex, and the optimized process is reliable for laboratory and industrial production. |
| Key words: paeonal Moutan Cortex extraction process response surface methodology central composite design |
