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红花UPLC法特征指纹图谱研究
引用本文:李彤彤,韩红园,王宝丽,张博,程钱,贾子尧,李鹏,邹秦文,林瑞超.红花UPLC法特征指纹图谱研究[J].中草药,2017,48(5):997-1004.
作者姓名:李彤彤  韩红园  王宝丽  张博  程钱  贾子尧  李鹏  邹秦文  林瑞超
作者单位:北京中医药大学中药学院, 中药品质评价北京市重点实验室, 北京 100102;北京中医药大学中药学院, 中药品质评价北京市重点实验室, 北京 100102;北京中医药大学中药学院, 中药品质评价北京市重点实验室, 北京 100102;北京中医药大学中药学院, 中药品质评价北京市重点实验室, 北京 100102;北京中医药大学中药学院, 中药品质评价北京市重点实验室, 北京 100102;北京中医药大学中药学院, 中药品质评价北京市重点实验室, 北京 100102;福建医科大学药学院 天然药物学系, 福建 福州 350108;北京联馨药业有限公司, 北京 102600;北京中医药大学中药学院, 中药品质评价北京市重点实验室, 北京 100102
摘    要:目的建立红花Carthamus tinctorius超高效液相色谱(UPLC)指纹图谱,为评价不同产地和不同品种红花的质量提供参考。方法对产地来自新疆和河南共34批红花样品应用UPLC建立其指纹图谱,按"中药指纹图谱相似度评价系统"建立对照图谱,并进行相似度评价。运用SAS 9.30和Matlab软件对新疆不同品种和不同产地红花的UPLC指纹图谱特征峰进行聚类分析和主成分分析。结果建立了红花药材的专属性UPLC指纹图谱,确立了26个共有峰;30批新疆红花样品和4批河南红花样品质量差异较大,新疆不同产地间和同一产地不同品种间具有一定差异。聚类分析和主成分分析均实现了新疆红花指纹图谱差异的识别。结论该方法简便、高效、可靠,为红花药材的质量控制提供了有效的快速评价方法。

关 键 词:红花  指纹图谱  UPLC  质量控制  相似性分析
收稿时间:2016/8/19 0:00:00

UPLC characteristic chromatographic profile of Carthamus tinctorrius
LI Tong-tong,HAN Hong-yuan,WANG Bao-li,ZHANG Bo,CHENG Qian,JIA Zi-yao,LI Peng,ZOU Qin-wen and LIN Rui-chao.UPLC characteristic chromatographic profile of Carthamus tinctorrius[J].Chinese Traditional and Herbal Drugs,2017,48(5):997-1004.
Authors:LI Tong-tong  HAN Hong-yuan  WANG Bao-li  ZHANG Bo  CHENG Qian  JIA Zi-yao  LI Peng  ZOU Qin-wen and LIN Rui-chao
Institution:School of Chinese Pharmacy, Beijing University of Chinese Medicine, Traditional Chinese Medicine Quality Evaluation of the Key Laboratory of Beijing, Beijing 100102, China;School of Chinese Pharmacy, Beijing University of Chinese Medicine, Traditional Chinese Medicine Quality Evaluation of the Key Laboratory of Beijing, Beijing 100102, China;School of Chinese Pharmacy, Beijing University of Chinese Medicine, Traditional Chinese Medicine Quality Evaluation of the Key Laboratory of Beijing, Beijing 100102, China;School of Chinese Pharmacy, Beijing University of Chinese Medicine, Traditional Chinese Medicine Quality Evaluation of the Key Laboratory of Beijing, Beijing 100102, China;School of Chinese Pharmacy, Beijing University of Chinese Medicine, Traditional Chinese Medicine Quality Evaluation of the Key Laboratory of Beijing, Beijing 100102, China;School of Chinese Pharmacy, Beijing University of Chinese Medicine, Traditional Chinese Medicine Quality Evaluation of the Key Laboratory of Beijing, Beijing 100102, China;Natural Medicine Department of Fujian Medical University School of Medicine, Fuzhou 350108, China;Beijing Lianxin Pharmaceutical Co., Ltd., Beijing 102600, China;School of Chinese Pharmacy, Beijing University of Chinese Medicine, Traditional Chinese Medicine Quality Evaluation of the Key Laboratory of Beijing, Beijing 100102, China
Abstract:Objective To establish fingerprint analysis method by UPLC for the quality control of Carthamus tinctorrius, and provide comprehensive evaluation of their quality in different regions and different varieties. Methods The software "Similarity Evaluation System for Chromatographic Fingerprint of TCMs" (Version 2010A) was employed to generate the mean chromatogram and carry out the similarity analysis of the samples. Cluster analysis was adopted in combination with principal component analysis to study 30 batches from Xinjiang C. tinctorrius characteristic common peaks and to differentiate the Carthamus tinctorrius L resources. Results A specific UPLC fingerprint of C. tinctorrius from Xinjiang province had been set up and establelished and 26 common peaks were designated. The results showed that the qualities of 30 batches of samples from Xinjiang province and four sets from Henan have significant differences and the samples collected different varieties from same region and differnent regions both had certainly differences. The difference among chromatographic fingerprints of C. tinctorrius samples were identified by cluster analysis and principal component analysis. Conclusion UPLC fingerprint is an available, convenient, and reliable method, which can be used to access the quality of C. tinctorrius.
Keywords:Carthamus tinctorrius L    fingerprint  UPLC  quality control  similarity analysis
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