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| 五味子提取工艺的优化研究 | |
| 引用本文： | 李霞,贾晓斌,陈彦,范晨怡,黄丽霞,魏惠华.五味子提取工艺的优化研究[J].中国药房,2007,18(6):424-426. |
| 作者姓名： | 李霞 贾晓斌 陈彦 范晨怡 黄丽霞 魏惠华 |
| 作者单位： | 1. 江苏省中医药研究院、江苏省现代中药制剂工程技术研究中心,南京市,210028;江苏大学,镇江市,212013 2. 江苏省中医药研究院、江苏省现代中药制剂工程技术研究中心,南京市,210028 3. 江苏大学,镇江市,212013 4. 苏州雷允上药业有限公司,苏州市,215003 |
| 摘 要： | 目的:优化五味子的提取工艺。方法:以五味子醇甲、五味子酯甲、五味子甲素、五味子乙素含量为指标,考察提取溶剂、药材破碎程度对提取工艺的影响,优选提取工艺参数。结果:五味子药材破碎后以乙醇提取,其活性成分可得到有效利用。优化的提取工艺参数为:药材破碎过40目筛、70%乙醇提取2次、每次提取2.0h。结论:本工艺比目前配方颗粒采用的工艺合理,使质量得到了最大保证。 |
| 关 键 词： | 五味子 提取工艺 优化 |
| 文章编号： | 1001-0408（2007）06-0424-03 |
| 收稿时间： | 2006-05-15 |
| 修稿时间： | 2006-07-04 |
Study on Optimized Extraction of Fructus Schisandrae Chinensis |
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| LI Xia,JIA Xiaobin,CHEN Yan,Fan Chenyi,HUANG Lixia,WEI Huihua.Study on Optimized Extraction of Fructus Schisandrae Chinensis[J].China Pharmacy,2007,18(6):424-426. | |
| Authors: | LI Xia JIA Xiaobin CHEN Yan Fan Chenyi HUANG Lixia WEI Huihua |
| Institution: | 1.Institute of Traditional Chinese Medicine of Jiangsu Province , Nanjing 210028, China;2.Jiangsu University, Zhenjiang 212013, China;3.Leiyunshang Pharmaceutical Co. Ltd., Suzhou 215003, China |
| Abstract: | OBJECTIVE: To optimize the extraction process of Fructus Schisandrae Chinensis. METHODS: Taking the contents of schizandrin, schisantherin A, deoxyschizandrin, r-schizandrin as the indexes, the influence on the extraction process by extract solvent and medicinal material particle diameter was examined, and the extraction parameters were optimized. RESULTS: Active components of Fructus Schisandrae Chinensis, after the medicinal material being crushed, can be effectively utilized through extracting by alcohol. The optimized extraction parameters were as follows: the medical material being ground into 40 meshes, extracted twice by 70% alcohol, 2 hours per time. CONCLUSION: The optimized extracting process works better than current technique adopted for formulated granule preparation, and can ensure quality to the highest degree. |
| Keywords: | Fructus Schisandrae Chinensis Extracting process Optimize |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |