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星点设计-效应面优化法优选酒制丹参的炮制工艺

Optimum Processing Technology of Danshen(Salvia Miltiorrhiza) by CCD-response Surface Methodology

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【作者】 曹凤媚李越许蕊蕊黄凤婷

【Author】 CAO Feng-mei;LI Yue;XU Rui-rui;HUANG Feng-ting;The Third Affiliated Hospital of Guangzhou University of Chinese Medicine;School of Chinese Materia Medica, Beijing University of Chinese Medicine;

【通讯作者】 黄凤婷;

【机构】 广州中医药大学第三附属医院北京中医药大学中药学院

【摘要】 目的:采用星点设计(CCD)-效应面优化法优选酒制丹参的炮制工艺。方法:在单因素试验的基础上,以黄酒用量(黄酒∶药材)、酒炖时间、闷润时间、烘干温度为考察因素,采用CCD-效应面法预测优化处方并验证。结果:确定各个因素的最佳条件为黄酒用量(黄酒∶药材)为30∶100,酒炖时间为2.0 h,闷润时间为8.0 h,烘干温度为60℃。结论:本实验采用CCD-效应面法建立的数学拟合模型具有较好预测性,实测值与其函数的预测值偏差较小,低于5%。

【Abstract】 Objective: To optimize the processing technology of Salvia miltiorrhiza by central composite design(CCD)-response surface methodology. Methods: On the basis of single factor experiment, taking the amount of rice wine(rice wine:herbs), stewing time, moistening time and drying temperature as factors, the optimized prescription was predicted and validated by CCD-response surface methodology. Results: The best conditions for each factor were the dosage of rice wine(rice wine: herbs) 30∶100, stewing time 2.0 h, moistening time 8.0 h and drying temperature 60 ℃. Conclusion: The mathematic fitting model established by CCD-response surface method has good predictability. The deviation between the measured and predicted values is less than 5%.

【基金】 广州中医药大学第三附属医院科研创新基金(sy201708)
  • 【文献出处】 中医药导报 ,Guiding Journal of Traditional Chinese Medicine and Pharmacy , 编辑部邮箱 ,2019年16期
  • 【分类号】R283
  • 【被引频次】5
  • 【下载频次】299
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