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采用超高效液相色谱-离子淌度质谱/四极杆飞行时间质谱联用的多维策略快速鉴定圣涎汤中的化学成分。

A multidimensional strategy to rapidly identify the chemical constituents in Shengxian Decoction by using ultra-performance liquid chromatography coupled with ion mobility spectrometry quadrupole time-of-flight mass spectrometry.

机构信息

School of Pharmaceutical Sciences, Jilin University, Changchun, P. R. China.

National Center of Mass Spectrometry in Changchun & Jilin Provincial Key Laboratory of Chinese Medicine Chemistry and Mass Spectrometry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, P. R. China.

出版信息

J Sep Sci. 2022 Aug;45(16):3115-3127. doi: 10.1002/jssc.202200267. Epub 2022 Jul 24.

Abstract

As a well-known traditional Chinese medicine formula, the chemical constituents of Shengxian Decoction still remain unclear due to its complexity. In this study, a multidimensional strategy based on ultra-performance liquid chromatography coupled with ion mobility spectrometry quadrupole time-of-flight mass spectrometry and informatics UNIFI platform was applied to achieve rapid and comprehensive identification of the complex composition of Shengxian Decoction. Data-independent acquisition, fast data-directed analysis, and high-definition MS were used to obtain more and cleaner mass spectrum information. As a result, a total of 120 compounds including 74 saponins, 17 flavonoids, 7 cinnamic acid derivatives, 8 triterpenoids, and 14 others were identified or tentatively characterized by high-resolution molecular mass, fragment ions, and collision cross-section values. Furthermore, high-definition MS was used to identify six pairs of co-eluting isomers that could not be detected from conventional data-independent acquisition and fast data-directed analysis. This research strategy has a certain potential for the analysis of other compound formulae and lays the foundation for the study of traditional Chinese medicine efficacy.

摘要

生仙汤作为一种著名的中药方剂,由于其复杂性,其化学成分仍不清楚。在这项研究中,应用了一种基于超高效液相色谱与离子淌度质谱联用和信息学 UNIFI 平台的多维策略,以实现生仙汤复杂成分的快速和全面鉴定。采用数据非依赖性采集、快速数据定向分析和高清晰度 MS,获得了更多更清洁的质谱信息。结果,共鉴定或初步表征了 120 种化合物,包括 74 种皂苷、17 种黄酮类化合物、7 种肉桂酸衍生物、8 种三萜类化合物和 14 种其他化合物,通过高分辨分子质量、碎片离子和碰撞截面值进行鉴定。此外,高清晰度 MS 用于鉴定了 6 对不能从常规数据非依赖性采集和快速数据定向分析中检测到的共洗脱异构体。这种研究策略对其他复方方剂的分析具有一定的潜力,为中药功效的研究奠定了基础。

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