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基于超高效液相色谱-电喷雾串联质谱联用技术及主成分分析对忍冬属植物花芽化学成分及其变化的研究

Investigation on the chemical constituents and variation of the flower buds of Lonicera species by UPLC-ESI-MS/MS and principle component analysis.

作者信息

Li Xiao-Qin, Sun Xiao-Hong, Cai Shuang, Ying Xi-Xiang, Li Fa-Mei

机构信息

Department of Analytical Chemistry, Shenyang Pharmaceutical University, Shenyang 110016, China.

出版信息

Yao Xue Xue Bao. 2009 Aug;44(8):895-904.

Abstract

A rapid ultra-performance liquid chromatography-electrospray ionization tandem mass spectrometric (UPLC-ESI-MS/MS) method is developed for the qualitative identification of constituents in the flower buds of seven Lonicera species. The optimal condition of separation and detection were achieved on an AcQuity UPLC BEH C18 column with a gradient elution with acetonitrile and 0.1% acetic acid within 17 min. Among the 33 constituents detected, 6 caffeoylquinic acids (including caffeic acid), 8 flavonoids and 8 iridoid glycosides were characterized based on their fragmentation patterns in collision-induced dissociation (CID) experiments and/or by comparison with standard compounds. In addition, to statistically establish the correlation and discrimination of the Lonicera species, principle component analysis (PCA) was applied in this study. Lonicera samples were divided into well-defined groups directly related to their species based on PCA in terms of the log transformed relative contents of the major caffeoylquinic acids (including caffeic acid) as the variables. All of results indicated that the method presented here is able to classify the sample species and to reveal characteristic details of the chemical constituents of different Lonicera species.

摘要

建立了一种快速超高效液相色谱-电喷雾电离串联质谱(UPLC-ESI-MS/MS)方法,用于定性鉴定7种忍冬属植物花蕾中的成分。在AcQuity UPLC BEH C18柱上,采用乙腈和0.1%乙酸梯度洗脱,17分钟内实现了分离和检测的最佳条件。在所检测的33种成分中,基于碰撞诱导解离(CID)实验中的碎片模式和/或与标准化合物的比较,鉴定出6种咖啡酰奎宁酸(包括咖啡酸)、8种黄酮类化合物和8种环烯醚萜苷。此外,为了从统计学上建立忍冬属植物的相关性和鉴别方法,本研究应用了主成分分析(PCA)。以主要咖啡酰奎宁酸(包括咖啡酸)的对数转换相对含量为变量,基于PCA将忍冬属植物样品直接分为与其物种直接相关的明确组。所有结果表明,本文提出的方法能够对样品物种进行分类,并揭示不同忍冬属植物化学成分的特征细节。

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