星点设计-效应面法优化山茱萸-白芍提取工艺研究
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摘要
目的:采用星点设计-效应面法优化山茱萸-白芍最佳水提取工艺。方法:以莫诺苷、马钱苷含量之和与芍药苷的含量为考察指标,单因素考察提取次数对提取工艺的研究,星点设计-效应面法考察加水量和提取时间对提取工艺的影响,对结果进行多元线性回归和二项式拟合,利用效应面法筛选提取工艺,再预测分析。结果:最佳水提取工艺为加水量11. 2倍,提取2次,每次81 min。最佳工艺验证结果与二项式拟合方程预测值偏差均小于1%。结论:采用星点设计-效应面法优化山茱萸-白芍最佳煎煮提取工艺,方法简便,预测性良好。
Objective: To optimize the extraction process of Cornus officinalis Sieb-Paeonia lactiflora Pall couplet medicines by Central Composite Design-Response Surface Methodology. Methods: Taking the sum of the contents of Monoside and Loganin and Paeoniflorin as the evaluation indexes,the effects of extraction times on the extraction process were investigated by single factor,the effects of water addition and extraction time on the extraction process were investigated by Central Composite Design-Response Surface Methodology,the results were fitted by multiple linear regression and binomial fitting,and the extraction process was screened by the method of Response Surface,and then predicted and analyzed. Results: The optimum water extraction process was 11. 2 times the amount of water added,extracting twice,each time for 81 minutes. The deviation between the validation results of the optimum process and the predicted values of the binomial fitting equation is less than 1%. Conclusion: Central Composite Design-Response Surface Methodology was used to optimize the extraction process of Cornus officinalis Sieb-Paeonia lactiflora Pall couplet medicines. The method was simple and predictive.
Objective: To optimize the extraction process of Cornus officinalis Sieb-Paeonia lactiflora Pall couplet medicines by Central Composite Design-Response Surface Methodology. Methods: Taking the sum of the contents of Monoside and Loganin and Paeoniflorin as the evaluation indexes,the effects of extraction times on the extraction process were investigated by single factor,the effects of water addition and extraction time on the extraction process were investigated by Central Composite Design-Response Surface Methodology,the results were fitted by multiple linear regression and binomial fitting,and the extraction process was screened by the method of Response Surface,and then predicted and analyzed. Results: The optimum water extraction process was 11. 2 times the amount of water added,extracting twice,each time for 81 minutes. The deviation between the validation results of the optimum process and the predicted values of the binomial fitting equation is less than 1%. Conclusion: Central Composite Design-Response Surface Methodology was used to optimize the extraction process of Cornus officinalis Sieb-Paeonia lactiflora Pall couplet medicines. The method was simple and predictive.
引文
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[2]张燕.山茱萸主要化学成分与生物活性研究[C].郑州:河南省化学学会2010年学术年会论文摘要集,2010:1.
[3]刘洪,许惠琴.山茱萸及其主要成分的药理学研究进展[J].南京中医药大学学报,2003,55(4):254-256.
[4]国家药典委员会.中华人民共和国药典[M].北京:中国医药科技出版社,2015:105.
[5]吴伟,崔光华.星点设计-效应面优化法及其在药学中的应用[J].国外医学·药学分册,2000,27(5):292-298.
[6]彭晓霞,路莎莎.响应面优化法在中药研究中的应用和发展[J].中国实验方剂学杂志,2011,17(19):296-299.
[7]郑杰,颜秋萍,谭伟,等.响应面法优选活血风湿巴布剂基质配方[J].中国实验方剂学杂志,2011,17(23):20-24.
[8]方新华,吴鑫,曹岗,等.白芍和白术配伍麸炒前后主要化学成分变化HPLC分析(英文)[J].Journal of Chinese Pharmaceutical Sciences,2015,24(4):231-235.
[9]周莉莉.山茱萸炮制及配伍药效物质基础的化学研究[D].徐州:中国矿业大学,2008.