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基于UFLC-Q-TOF-MS/MS技术及PCA分析的不同产地杏香兔耳风药材差异研究
引用本文:吴蓓,彭春燕,李军茂,何明珍,李艳,欧阳辉,冯育林,杨世林. 基于UFLC-Q-TOF-MS/MS技术及PCA分析的不同产地杏香兔耳风药材差异研究[J]. 中国中药杂志, 2017, 42(21): 4165-4171
作者姓名:吴蓓  彭春燕  李军茂  何明珍  李艳  欧阳辉  冯育林  杨世林
作者单位:南昌市食品药品检验所 南昌市中药质量控制与安全性评价重点实验室, 江西 南昌 330038,江西中医药大学, 江西 南昌 330004,创新药物与高效节能降耗制药设备国家重点实验室, 江西 南昌 330006,江西中医药大学, 江西 南昌 330004,江西中医药大学, 江西 南昌 330004,江西中医药大学, 江西 南昌 330004,江西中医药大学, 江西 南昌 330004;创新药物与高效节能降耗制药设备国家重点实验室, 江西 南昌 330006,江西中医药大学, 江西 南昌 330004;创新药物与高效节能降耗制药设备国家重点实验室, 江西 南昌 330006
基金项目:国家自然科学基金项目(81760702,81560636);江西省卫生厅项目(2016A142);中国博士后基金项目(2017M612159);南昌市药物代谢动力学知识创新团队项目
摘    要:该研究建立UFLC-Q-TOF-MS/MS技术结合多元统计分析法快速、简便、准确鉴别不同产地杏香兔耳风药材差异性的方法。采用超高速液相-飞行时间串联质谱仪(UFLC-Q-TOF-MS/MS)对江西、云南、江苏和河南地区等产地的杏香兔耳风药材进行检测,质谱采用ESI源的负离子模式,利用Markerview等软件对数据结果进行PCA和OPLS-DA聚类分析及t检验。结果显示在负离子模式下不同产地的药材主成分得到了良好的区分,聚类结果同时体现了杏香兔耳风药材在地域间的差异性和相似性,共鉴定出40种差异成分。该研究建立的鉴别杏香兔耳风药材产地差异性的方法具有快速准确和简便等优势,为杏香兔耳风不同产地的药材质量评价奠定了基础。

关 键 词:杏香兔耳风  化学成分  产地差异  液质联用  聚类分析
收稿时间:2017-07-02

Study on differences of Ainsliaea fragrans from different sources based on UFLC-Q-TOF-MS/MS and PCA analysis
WU Bei,PENG Chun-yan,LI Jun-mao,HE Ming-zhen,LI Yan,OUYANG Hui,FENG Yu-lin and YANG Shi-lin. Study on differences of Ainsliaea fragrans from different sources based on UFLC-Q-TOF-MS/MS and PCA analysis[J]. China Journal of Chinese Materia Medica, 2017, 42(21): 4165-4171
Authors:WU Bei  PENG Chun-yan  LI Jun-mao  HE Ming-zhen  LI Yan  OUYANG Hui  FENG Yu-lin  YANG Shi-lin
Affiliation:Nanchang Key Laboratory of Quality and Safety Evaluation of Traditional Chinese Medicine, Nanchang Institute for Food and Drug Control, Nanchang 330038, China,Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China,State Key Laboratory of Innovative Drug and Efficient Energy-Saving Pharmaceutical Equipment, Nanchang 330006, China,Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China,Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China,Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China,Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China;State Key Laboratory of Innovative Drug and Efficient Energy-Saving Pharmaceutical Equipment, Nanchang 330006, China and Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China;State Key Laboratory of Innovative Drug and Efficient Energy-Saving Pharmaceutical Equipment, Nanchang 330006, China
Abstract:A rapid and accurate method of UFLC-Q-TOF-MS/MS combined with multivariate statistical analysis was established for the identification of Ainsliaea fragrans from different origins in this study. The A. fragrans from different producing areas of Jiangxi, Yunnan, Henan and Jiangsu were determined by UFLC-Q-TOF-MS/MS in the negative ion mode. And the data of the study were analyzed by the Markerview and other software for the PCA and OPLS-DA cluster analysis as well as t test. The results of the principal component analysis(PCA)showed that the main components from different origins were well distinguished. And the results of multivariate statistical showed the differences and similarities between different producing areas. Besides, 40 different compounds were identified in the negative ion mode. This method for identifying A. fragrans from different producing areas has the advantages of rapid accuracy and simplicity, which laid the foundation for the evaluation of the quality of the A. fragrans.
Keywords:Ainsliaea fragrans  chemical compositions  different sources  UFLC-MS  cluster analysis
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