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基于混合线性离子阱-轨道阱质谱仪,采用逐步质量亏损过滤与诊断产物离子分析相结合的实用策略,快速鉴定中药中的多甲氧基黄酮类化合物。

Rapid identification of polymethoxylated flavonoids in traditional Chinese medicines with a practical strategy of stepwise mass defect filtering coupled to diagnostic product ions analysis based on a hybrid LTQ-Orbitrap mass spectrometer.

作者信息

Zhang Jia-Yu, Wang Fang, Zhang Hong, Lu Jian-Qiu, Qiao Yan-Jiang

机构信息

Center of Scientific Experiment, Beijing University of Chinese Medicine, Beijing, 100029, China.

出版信息

Phytochem Anal. 2014 Sep-Oct;25(5):405-14. doi: 10.1002/pca.2508. Epub 2014 Mar 5.

Abstract

INTRODUCTION

The methodology of stepwise mass defect filtering (MDF) approach coupled to diagnostic product ions (DPIs) analysis on a hybrid linear trap quadrupole (LTQ)/orbitrap mass spectrometer was the first to be established to screen and identify structural analogues from complex herbal extracts.

OBJECTIVE

To develop an analytical methodology that could be adopted to screen and identify structural analogues in traditional Chinese medicines (TCMs) rapidly and accurately.

METHODS

Taking polymethoxylated flavonoids (PMFs) in the leaves of Citrus reticulata Blanco as an example, high-resolution mass data were acquired by high-performance liquid chromatography (HPLC) coupled with a LTQ/orbitrap mass spectrometer. The stepwise MDF with multiple mass defect windows or mass windows enabled the original data to be analysed much faster and more accurately by reducing the potential interferences of matrix ions. Additionally, analysis of DPIs could provide a criterion to classify the target constituents detected into certain chemical families.

RESULTS

In total, 81 PMFs, including 50 polymethoxyflavones and 31 polymethoxyflavanones or polymethoxychalcones, were screened and identified from the original data and preliminarily identified.

CONCLUSION

The analytical methodology developed could be used as a rapid, effective technique to screen and identify compounds from TCM extracts and other organic matter mixtures with compounds that can also be classified into families based on the common carbon skeletons.

摘要

引言

在混合线性阱四极杆(LTQ)/轨道阱质谱仪上,将逐步质量亏损过滤(MDF)方法与诊断产物离子(DPI)分析相结合的方法,是最早建立的用于从复杂草药提取物中筛选和鉴定结构类似物的方法。

目的

开发一种可用于快速、准确地筛选和鉴定中药中结构类似物的分析方法。

方法

以陈皮叶中的多甲氧基黄酮(PMF)为例,采用高效液相色谱(HPLC)与LTQ/轨道阱质谱仪联用获取高分辨率质谱数据。具有多个质量亏损窗口或质量窗口的逐步MDF通过减少基质离子的潜在干扰,使原始数据的分析更快、更准确。此外,DPI分析可为将检测到的目标成分归类到特定化学家族提供标准。

结果

从原始数据中筛选并初步鉴定出总共81种PMF,包括50种多甲氧基黄酮和31种多甲氧基黄烷酮或多甲氧基查耳酮。

结论

所开发的分析方法可作为一种快速、有效的技术,用于从中药提取物和其他有机物质混合物中筛选和鉴定化合物,这些化合物也可根据共同的碳骨架归类到家族中。

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