| UPLC-Q-TOF-MS~E技术结合UNIFI数据库快速定性分析黄牡丹化学成分 |
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| 引用本文： | 李金花,曾锐,瞿燕,黄林芳. UPLC-Q-TOF-MS~E技术结合UNIFI数据库快速定性分析黄牡丹化学成分[J]. 中草药, 2017, 48(8): 1529-1536 |
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| 作者姓名： | 李金花 曾锐 瞿燕 黄林芳 |
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| 作者单位： | 中国医学科学院 北京协和医学院药用植物研究所, 北京 100193;西南民族大学药学院, 四川 成都 610041;西南民族大学药学院, 四川 成都 610041;成都中医药大学药学院, 四川 成都 611137;中国医学科学院 北京协和医学院药用植物研究所, 北京 100193 |
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| 基金项目： | 国家自然科学基金面上项目——西洋参不同产地品质相关“地理特异基因群”的发掘（81274013）；国家自然科学基金面上项目——地理格局及生态驱动揭示肉苁蓉品质生态型机理（81473315）；国家自然科学基金重点项目——道地药材形成的生物学实质（81130069） |
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| 摘 要： | 目的应用超高效液相色谱仪联用四级杆串联飞行时间质谱仪(UPLC-Q-TOF-MSE)结合UNIFI天然产物信息平台对黄牡丹Paeonia delavayi var.lutea的化学成分进行快速定性分析。方法应用时间依赖型MSE方式采集样品质谱数据,结合自动检出及人工核对方法分析黄牡丹化学成分。结果通过UNIFI数据库自动检出、在线及离线数据库的检索和相关文献的人工核对,鉴定了57个化合物,包括单萜苷、酚酸、鞣酸、丹皮酚和三萜等类化合物。结论本方法可以快速全面地定性分析黄牡丹根的化学成分,为黄牡丹的质量控制和药效物质基础的阐明提供参考。
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| 关 键 词： | 黄牡丹 高效液相色谱仪联用四级杆串联飞行时间质谱仪 UNIFI 单萜苷 酚酸 鞣酸 丹皮酚 |
| 收稿时间： | 2016-09-06 |
Rapid identification on chemical constituents in roots of Paeonia delavayi var. lutea by UPLC-Q-TOF-MSE combined with UNIFI informatics platform |
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| LI Jin-hu,ZENG Rui,QU Yan and HUANG Lin-fang. Rapid identification on chemical constituents in roots of Paeonia delavayi var. lutea by UPLC-Q-TOF-MSE combined with UNIFI informatics platform[J]. Chinese Traditional and Herbal Drugs, 2017, 48(8): 1529-1536 |
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| Authors: | LI Jin-hu ZENG Rui QU Yan HUANG Lin-fang |
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| Affiliation: | Institute of Medicinal Plant Development, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100193, China;College of Pharmacy, Southwest University for Nationalities, Chengdu 610041, China;College of Pharmacy, Southwest University for Nationalities, Chengdu 610041, China;School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China;Institute of Medicinal Plant Development, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100193, China |
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| Abstract: | Objective To rapidly identify the chemical constituents of Paeonia delavayi var. lutea roots by ultra-high performance liquid coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MSE) and UNIFI informatics platform. Methods Time-dependent MSE data-acquistion mode was applied to acquire mass spectrometric data, and then the chemical constituents were identified by automatic identification and artificial identification. Results Totally 57 compounds were identified, including monoterpene glycosides, phenolic acids, tannins, paeonols, and triterpenes. Conclusion UPLC-Q-TOF-MSE combined with UNIFI database could be used to rapidly and comprehensively characterize the chemical constituents of P. delavayi var. lutea roots. This study provides a reference for quality control of P. delavayi var. lutea roots and clarifying the material basis of its efficacy. |
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| Keywords: | Paeonia delavayi Franch.var. lutea (Delavay ex Franch.) Finet et Gagnep. UPLC-Q-TOF-MSE UNIFI monoterpene glycosides phenolic acids tannins paeonols |
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