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基于超高效液相色谱-四极杆飞行时间质谱联用技术结合诊断离子筛选法对掌叶大黄中酚类化合物的快速分析

[Rapid analysis on phenolic compounds in Rheum palmatum based on UPLC-Q-TOF/MSE combined with diagnostic ions filter].

作者信息

Wang Qing, Lu Zhi-Wei, Liu Yue-Hong, Wang Ming-Ling, Fu Shuang, Zhang Qing-Qing, Zhao Hui-Zhen, Zhang Zhi-Xin, Xie Zi-Ye, Huang Zheng-Hai, Yu Hong-Hong, Zhou Wen-Juan, Gao Xiao-Yan

机构信息

School of Chinese Materia Medica, Beijng University of Chinese Medicine, Beijing 100102, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2017 May;42(10):1922-1931. doi: 10.19540/j.cnki.cjcmm.20170317.001.

DOI:10.19540/j.cnki.cjcmm.20170317.001
PMID:29090552
Abstract

Diagnostic ions filter method was used to rapidly detect and identify the phenolic compounds in Rheum palmatum based on ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MSE). The representative authentic standards of phenolic compounds, including gallic acid, (+)-catechin, (-)-epicatechin, (-)-epicatechin-3-O-gallate and procyanidin B2, were subjected to analysis by UPLC-Q-TOF/MSE system with negative ion mode. Fragmentation patterns of each standard were summarized based on assigned fragment ions. The prominent product ions were selected as diagnostic ions. Subsequently, diagnostic ions filter was employed to rapidly recognize analogous skeletons. Combined with retention time, accurate mass, characteristic fragments and previous literature data, the structures of the filtered compounds were identified or tentatively characterized. A total 63 phenolic compounds (36 phenolic acid derivatives, 8 flavonoid derivatives and 19 tennis derivatives) in R. palmatum were identified, including 6 potential new compounds. The method of diagnostic ions filter could rapidly detect and identify phenolic compounds in R. palmatum This study provides a method for rapid detection of phenolic compounds in R. palmatum and is expected to complete the material basis of rhubarb.

摘要

基于超高效液相色谱-四极杆飞行时间质谱联用仪(UPLC-Q-TOF/MSE),采用诊断离子筛选法快速检测和鉴定掌叶大黄中的酚类化合物。以没食子酸、(+)-儿茶素、(-)-表儿茶素、(-)-表儿茶素-3-O-没食子酸酯和原花青素B2等酚类化合物的代表性标准品为研究对象,在负离子模式下采用UPLC-Q-TOF/MSE系统进行分析。根据已归属的碎片离子总结各标准品的裂解模式,选择突出的产物离子作为诊断离子。随后,运用诊断离子筛选法快速识别类似骨架。结合保留时间、精确质量数、特征碎片以及先前的文献数据,对筛选出的化合物结构进行鉴定或初步表征。共鉴定出掌叶大黄中的63种酚类化合物(36种酚酸衍生物、8种黄酮类衍生物和19种鞣质衍生物),其中包括6种潜在新化合物。诊断离子筛选法能够快速检测和鉴定掌叶大黄中的酚类化合物。本研究为掌叶大黄中酚类化合物的快速检测提供了一种方法,有望完善大黄的物质基础。

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