详细信息

Metabolic fingerprinting of Angelica sinensis during growth using UPLC-TOFMS and chemometrics data analysis  ( SCI-EXPANDED收录)   被引量:29

文献类型:期刊文献

英文题名:Metabolic fingerprinting of Angelica sinensis during growth using UPLC-TOFMS and chemometrics data analysis

作者:Qian, Yiyun[1];Wang, Yali[1];Sa, Rina[1];Yan, Hui[2];Pan, Xinbo[1];Yang, Yingwen[1];Sun, Yujing[1]

第一作者:Qian, Yiyun

通信作者:Wang, YL[1]

机构:[1]Gansu Univ Tradit Chinese Med, Res Inst Angelica Sinensis, Minist Educ, Key Lab Dunhuang Med & Transformat, Lanzhou 730000, Peoples R China;[2]Nanjing Univ Chinese Med, Jiangsu Key Lab High Technol TCM Formulae Res, Nanjing, Jiangsu, Peoples R China

第一机构:甘肃中医药大学科研实验中心(甘肃省中医药标准化技术委员会秘书处)

通信机构:[1]corresponding author), Gansu Univ Tradit Chinese Med, Res Inst Angelica Sinensis, Minist Educ, Key Lab Dunhuang Med & Transformat, Lanzhou 730000, Peoples R China.|[107359c91a78c5fd2e803]甘肃中医药大学科研实验中心(甘肃省中医药标准化技术委员会秘书处);[10735]甘肃中医药大学;

年份:2013

卷号:7

外文期刊名:CHEMISTRY CENTRAL JOURNAL

收录:;WOS:【SCI-EXPANDED(收录号:WOS:000315957700001)】;

基金:We are very grateful to Prof. Jin Ao Duan, Dr. Er Xin Shang and Mr. Ye Fei Qian. (Jiangsu Key Laboratory for High Technology of TCM Formulae Research, Nanjing University of Chinese Medicine, Nanjing). This work was supported by a grant from the National Natural Science Foundation of China (No. 30960037), Gansu Provincial Key Technology R&D program (No. 0804NKCA117). A grant from State Administration of Traditional Chinese Medicine of the People's Republic of China (201107009), and the special project for research and development of new strategic industries and industrial technology of Gansu Provincial Development and reform commission.

语种:英文

外文关键词:Angelica sinensis; UPLC-QTOFMS; Metabolomics; Principal component analysis (PCA); Chemometrics

摘要:Background: The radix of Angelica sinensis is widely used as a medicinal herbal and metabolomics research of this plant during growth is necessary. Results: Principal component analysis of the UPLC-QTOFMS data showed that these 27 samples could be separated into 4 different groups. The chemical markers accounting for these separations were identified from the PCA loadings plot. These markers were further verified by accurate mass tandem mass and retention times of available reference standards. The study has shown that accumulation of secondary metabolites of Angelica sinensis is closely related to the growth periods. Conclusions: The UPLC-QTOFMS based metabolomics approach has great potential for analysis of the alterations of secondary metabolites of Angelica sinensis during growth.

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