首页 | 官方网站   微博 | 高级检索  
     

不同产地甘草水提液和醇提液指纹图谱研究
引用本文:彭灿,谢晓婷,彭代银,俞年军,陈卫东,曹勇,朱月健. 不同产地甘草水提液和醇提液指纹图谱研究[J]. 中草药, 2019, 50(15): 3569-3574
作者姓名:彭灿  谢晓婷  彭代银  俞年军  陈卫东  曹勇  朱月健
作者单位:安徽中医药大学药学院, 安徽 合肥 230012;中药复方安徽省重点实验室, 安徽 合肥 230012;安徽省中医药科学院 药物制剂研究所, 安徽合肥 230012,安徽中医药大学药学院, 安徽 合肥 230012;中药复方安徽省重点实验室, 安徽 合肥 230012;安徽省中医药科学院 药物制剂研究所, 安徽合肥 230012;安徽道地药材品质提升协同中心, 安徽 合肥 230012,安徽中医药大学药学院, 安徽 合肥 230012;中药复方安徽省重点实验室, 安徽 合肥 230012;安徽道地药材品质提升协同中心, 安徽 合肥 230012,安徽中医药大学药学院, 安徽 合肥 230012;中药复方安徽省重点实验室, 安徽 合肥 230012;安徽道地药材品质提升协同中心, 安徽 合肥 230012,安徽中医药大学药学院, 安徽 合肥 230012;中药复方安徽省重点实验室, 安徽 合肥 230012;安徽省中医药科学院 药物制剂研究所, 安徽合肥 230012;安徽道地药材品质提升协同中心, 安徽 合肥 230012,安徽济人药业有限公司, 安徽 亳州 236800,安徽济人药业有限公司, 安徽 亳州 236800
基金项目:国家中药标准化资助项目(ZYBZH-C-AH-02)
摘    要:目的建立不同产地甘草水提液和醇提液的HPLC指纹图谱,以期为不同产地甘草品控及甘草提取加工方法提供借鉴。方法采用HPLC法建立10批不同产地甘草药材的水提液和醇提液的指纹图谱,并对所获得的指纹图谱数据进行相似度评价和层次聚类分析。结果建立了甘草水提液和醇提液的指纹图谱,其中水提液指纹图谱确定了16个共有峰,并指认出6种成分,10批甘草的相似度在0.030~0.999,醇提液指纹图谱确定了60个共有峰,并指认出7种成分,10批甘草的相似度均大于0.85。层次聚类分析结果显示能够很好地将不同地区的甘草水提液和醇提液予以分类,提示产地气候环境、土壤条件等自然因素对甘草的内在品质产生较为显著的影响。结论建立了稳定可靠的甘草水提液和醇提液HPLC指纹图谱评价方法,为甘草质量标准研究及提取加工工艺的优化提供有力的理论依据和指导,为临床用药方法的选择提供科学依据。

关 键 词:甘草  水提液  醇提液  高效液相色谱法  指纹图谱  相似度评价  层次聚类分析
收稿时间:2019-05-01

Fingerprint analysis of water and ethanol extracts of Glycyrrhiza uralensis from different habitats
PENG Can,XIE Xiao-ting,PENG Dai-yin,YU Nian-jun,CHEN Wei-dong,CAO Yong and ZHU Yue-jian. Fingerprint analysis of water and ethanol extracts of Glycyrrhiza uralensis from different habitats[J]. Chinese Traditional and Herbal Drugs, 2019, 50(15): 3569-3574
Authors:PENG Can  XIE Xiao-ting  PENG Dai-yin  YU Nian-jun  CHEN Wei-dong  CAO Yong  ZHU Yue-jian
Affiliation:School of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China;Anhui Key Laboratory of Chinese Medicinal Formula, Hefei 230012, China;Institute of Pharmaceutics, Anhui Academy of Chinese Medicine, Hefei 230012, China,School of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China;Anhui Key Laboratory of Chinese Medicinal Formula, Hefei 230012, China;Institute of Pharmaceutics, Anhui Academy of Chinese Medicine, Hefei 230012, China;Synergetic Innovation Center of Anhui Authentic Chinese Medicine Quality Improvement, Hefei 230012, China,School of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China;Anhui Key Laboratory of Chinese Medicinal Formula, Hefei 230012, China;Synergetic Innovation Center of Anhui Authentic Chinese Medicine Quality Improvement, Hefei 230012, China,School of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China;Anhui Key Laboratory of Chinese Medicinal Formula, Hefei 230012, China;Synergetic Innovation Center of Anhui Authentic Chinese Medicine Quality Improvement, Hefei 230012, China,School of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China;Anhui Key Laboratory of Chinese Medicinal Formula, Hefei 230012, China;Institute of Pharmaceutics, Anhui Academy of Chinese Medicine, Hefei 230012, China;Synergetic Innovation Center of Anhui Authentic Chinese Medicine Quality Improvement, Hefei 230012, China,Anhui Jiren Pharmaceutical Co., Ltd., Bozhou 236800, China and Anhui Jiren Pharmaceutical Co., Ltd., Bozhou 236800, China
Abstract:Objective The HPLC fingerprints of water extracts and alcohol extracts of Glycyrrhiza uralensis from different producing areas were established in order to provide reference for the quality control and the extraction and processing methods. Methods The HPLC fingerprints of water extracts and alcohol extracts of 10 batches of G. uralensis from different producing areas were established by HPLC method, and the similarity evaluation and hierarchical cluster analysis of the obtained fingerprint data were carried out. Results The fingerprint of water extracts and ethanol extracts of G. uralensis was established. There were 16 common peaks were identified from fingerprints of water extracts, and six components were identified, meanwhile, the fingerprints of water extracts showed that the similarity of 10 batches of G. uralensis was in the range of 0.030 and 0.999. Sixty common peaks were identified from fingerprints of ethanol extracts, and seven components were identified, meanwhile, the fingerprints of ethanol extracts showed that the similarity of 10 batches of G. uralensis were all greater than 0.85. The results of hierarchical cluster analysis showed that the water extracts and alcohol extracts of G. uralensis in different areas could be well classified, suggesting that natural factors such as the climate, soil conditions and other natural factors had a significant impact on the internal quality of licorice. Conclusion A stable and reliable HPLC fingerprint evaluation method for water extracts and alcohol extracts of G uralensis has been established, which can provide a powerful theoretical basis and a guidance for the study of quality standard of G. uralensis and the optimization of extraction and processing technology, and provide a scientific basis for the choice of clinical medication.
Keywords:Glycyrrhiza uralensis Fisch.  water extract  ethanol extract  HPLC  fingerprinting  similarity-assessing method  hierarchical cluster analysis
本文献已被 CNKI 等数据库收录!
点击此处可从《中草药》浏览原始摘要信息
点击此处可从《中草药》下载全文
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-23

京公网安备 11010802026262号