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采用超高效液相色谱-四极杆飞行时间串联质谱联用技术结合数据挖掘策略对大黄的多种成分进行研究和鉴定。

Investigation and identification of the multiple components of Rheum officinale Baill. using ultra-high-performance liquid chromatography coupled with quadrupole-time-of-flight tandem mass spectrometry and data mining strategy.

机构信息

Jiangxi University of Traditional Chinese Medicine, Nanchang, P. R. China.

Jiangxi Institute for Drug Control, Nanchang, P. R. China.

出版信息

J Sep Sci. 2021 Feb;44(3):681-690. doi: 10.1002/jssc.202000735. Epub 2020 Dec 17.

Abstract

Rheum officinale Baill. is a traditional Chinese medicine that has long been used for eliminating body heat, cooling and detoxifying blood, removing blood stasis and promoting menstruation, and clearing away heat-dampness to eliminate jaundice. Comprehensive and systematic structural identification of the components of Rheum officinale Baill. remains a challenge. An appropriate analytical method needs to be established for the comprehensive investigation and identification of the chemical constituents in Rheum officinale Baill. extract. In this study, a new systematic approach using ultra high performance liquid chromatography with quadrupole time-of-flight mass spectrometry in conjunction with a data mining strategy was developed to screen the targeted and nontargeted components of Rheum officinale Baill. A total of 124 compounds were identified in the Rheum officinale Baill. extract including 31 acylglucosides, 9 phenolic acids, 26 tannins, 53 anthraquinones, and 5 other compounds. Note that 55 of these compounds were reported for the first time here. In conclusion, in this study, we devised an efficient and systematic method for detecting complex compounds and have used it here to provide a foundation for future research into bioactive ingredients and quality control of Rheum officinale Baill. extract.

摘要

大黄是一种传统的中药,长期以来一直被用于清热、凉血解毒、活血化瘀、通经、清热利湿退黄。大黄的成分综合系统结构鉴定仍然是一个挑战。需要建立一种适当的分析方法,对大黄提取物中的化学成分进行全面调查和鉴定。在本研究中,开发了一种新的系统方法,采用超高效液相色谱-四极杆飞行时间质谱联用技术结合数据挖掘策略,筛选大黄中的靶向和非靶向成分。在大黄提取物中鉴定出 124 种化合物,包括 31 种酰基葡萄糖苷、9 种酚酸、26 种鞣质、53 种蒽醌和 5 种其他化合物。值得注意的是,其中 55 种化合物是首次在这里报道的。总之,在本研究中,我们设计了一种检测复杂化合物的有效和系统的方法,并在这里使用它为大黄生物活性成分和提取物质量控制的未来研究提供了基础。

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