Suppr超能文献

采用液相色谱-质谱伪靶向分析法快速鉴定大花红景天的化学成分

Rapid identification of chemical constituents of Rhodiola crenulata using liquid chromatography-mass spectrometry pseudotargeted analysis.

作者信息

Chen Kuikui, Liu Jie, Ma Zhaochen, Duan Feipeng, Guo Zhonghui, Xiao Hongbin

机构信息

Research Center for Chinese Medicine Analysis and Transformation, Beijing University of Chinese Medicine, Beijing, P. R. China.

School of Pharmacy, Guangxi University of Chinese Medicine, Nanning, P. R. China.

出版信息

J Sep Sci. 2021 Oct;44(20):3747-3776. doi: 10.1002/jssc.202100342. Epub 2021 Aug 30.

Abstract

Rhodiola crenulata (R. crenulata), is a famous traditional Chinese medicine, with observable effects such as anti-high-altitude illness and fatigue resistance. Nevertheless, comprehensive and systematic structural identification of its components remains a challenge. In this study, a pseudotargeted analytical method, involving key fragment filtering by ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry and ultra-high performance liquid chromatography-linear ion trap-Orbitrap mass spectrometry, was developed for rapid detection and identification of the chemical constituents of R. crenulata. The process consists of three steps: (i) acquiring sufficient mass spectral data, (ii) constructing a key fragments schedule and discovering the substructures rapidly by pseudotargeted key fragment filtering, and (iii) further identification of the compound structures based on accurate masses, fragment ions, related literatures, and authentic standards. As a result, 104 compounds were identified and divided into five categories, among which three potentially new and 59 ones were reported for the first time in R. crenulata. These results indicated that the major types of components are flavanols and gallic acid derivatives, organic acids, alcohols and their glycosides, flavonoids and their glycosides. This study enhances the understanding of R. crenulata and provides a reference for rapid and comprehensive identification of constituents in other herbal medicines.

摘要

大花红景天是一种著名的传统中药,具有抗高原病和抗疲劳等显著功效。然而,对其成分进行全面系统的结构鉴定仍然是一项挑战。在本研究中,开发了一种伪靶向分析方法,该方法通过超高效液相色谱-四极杆飞行时间质谱和超高效液相色谱-线性离子阱-轨道阱质谱进行关键碎片筛选,用于快速检测和鉴定大花红景天的化学成分。该过程包括三个步骤:(i)获取足够的质谱数据;(ii)构建关键碎片表并通过伪靶向关键碎片筛选快速发现子结构;(iii)基于精确质量、碎片离子、相关文献和标准品进一步鉴定化合物结构。结果,共鉴定出104种化合物,分为五类,其中有三种可能是新化合物,59种是首次在大花红景天中报道。这些结果表明,其主要成分类型为黄烷醇和没食子酸衍生物、有机酸、醇及其糖苷、黄酮类及其糖苷。本研究增进了对大花红景天的了解,并为其他草药成分的快速全面鉴定提供了参考。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验