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基于代谢组学技术的虫草鉴别研究
引用本文:郑文,王诗盛,钟艺,胡立强,龚萌.基于代谢组学技术的虫草鉴别研究[J].中国现代应用药学,2017,34(8):1145-1149.
作者姓名:郑文  王诗盛  钟艺  胡立强  龚萌
作者单位:四川大学华西医院华西-华盛顿线粒体与代谢研究中心, 成都 610041,四川大学华西医院华西-华盛顿线粒体与代谢研究中心, 成都 610041,四川大学华西医院华西-华盛顿线粒体与代谢研究中心, 成都 610041,四川大学华西医院华西-华盛顿线粒体与代谢研究中心, 成都 610041,四川大学华西医院华西-华盛顿线粒体与代谢研究中心, 成都 610041
基金项目:四川省科技计划项目(2017HH0036)
摘    要:目的 采用超高效液相色谱-飞行时间质谱(UPLC-Q-TOF-MS)对不同产地虫草化学成分进行鉴定与比较分析。方法 采用超高效液相-飞行时间质谱(UPLC-Q-TOF-MS)及多元统计分析技术对实验结果进行分析,并对差异化合物进行鉴定。结果 对不同产地的虫草进行了成分鉴定,核苷类物质含量高。不同产地虫草药材在组分种类和相对量上存在着一定的差异。湖南、湖北、丽江的虫草含有其他成分,丽江虫草含有大量的虫草素,湖南虫草含有一些黄酮类物质。采用主成分分析(PCA)将不同产地药材分别聚成不同组别,其中西藏(那曲)、四川、青海之间聚集紧密,而凉山、湖北、湖南及丽江虫草散布在四周,差别非常显著。结论 UPLC-Q-TOF-MS结合多元统计分析方法可为虫草药材的质量评价提供依据。

关 键 词:超高效液相色谱-飞行时间质谱  虫草  不同产地  代谢组学  核苷类
收稿时间:2017/3/16 0:00:00
修稿时间:2017/6/23 0:00:00

Metabolomic Analysis for Identification of Cordyceps
ZHENG Wen,WANG Shisheng,ZHONG Yi,HU Liqiang and GONG Meng.Metabolomic Analysis for Identification of Cordyceps[J].The Chinese Journal of Modern Applied Pharmacy,2017,34(8):1145-1149.
Authors:ZHENG Wen  WANG Shisheng  ZHONG Yi  HU Liqiang and GONG Meng
Institution:West China-Washington Mitochondria and Metabolism Center, West China Hospital, Sichuan University, Chengdu 610041, China,West China-Washington Mitochondria and Metabolism Center, West China Hospital, Sichuan University, Chengdu 610041, China,West China-Washington Mitochondria and Metabolism Center, West China Hospital, Sichuan University, Chengdu 610041, China,West China-Washington Mitochondria and Metabolism Center, West China Hospital, Sichuan University, Chengdu 610041, China and West China-Washington Mitochondria and Metabolism Center, West China Hospital, Sichuan University, Chengdu 610041, China
Abstract:OBJECTIVE To identify and analyze the components of Cordyceps from different origins by UPLC-Q-TOF-MS. METHODS Metabolomic research of Cordyceps were performed using UPLC-Q-TOF-MS and multivariate statistical analysis technique. RESULTS Nucleosides were accounted for a large proportion of the identified components from Cordyceps. There was significant metabolites difference among Cordyceps from different origins, especially those from Hunan, Hubei and Lijiang. Cordyceps from Lijiang contained more deoxyadenosine than others and several flavonoids were detected in the Hunan sample. The Cordyceps from different origins were clustered into different groups respectively by principal component analysis(PCA). Samples from Tibet, Sichuang and Qinghai were clustered closely, while those from Liangshan, Hunan, Hubei and Lijiang were scattered around. CONCLUSION This study indicated that UPLC-Q-TOF-MS coupled with multivariate statistics could provide quality control of Cordyceps.
Keywords:UPLC-Q-TOF-MS  Cordyceps  different origins  metabolomics  nucleosides
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