A direct ionization mass spectrometry-based approach fordifferentiation of medicinal Ephedra species
A direct ionization mass spectrometry-based approach fordifferentiation of medicinal Ephedra species
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基于直接电离质谱法的药用麻黄物种鉴别方法
DOI：
10.1016/j.jpba.2015.09.032
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发表时间：
2016
影响因子：
3.4
通讯作者：
Li-Fang Liu
中科院分区：
文献类型：
--
作者：
Gui-Zhong Xin;Bin Hu;Zi-Qi Shi;Jia-Yi Zheng;Li Wang;Wen-Qi Chang;Ping Li;Zhongping Yao;Li-Fang Liu
本文采用直接电离质谱（DI-MS）技术对麻黄药材进行了快速、高效的代谢组学鉴定。DI-MS作为一种直接离子化技术，无需样品前处理，可快速分析样品，因此被广泛应用于高通量代谢组学分析。在该流程中，采用DI-MS方法获得的麻黄样品的MS指纹图谱首先经过背景扣除、平滑和中心处理，提取质谱特征。然后，使用MATLAB编写的内部程序将这些MS特征对齐以产生MS数据集。在此基础上，对获得的MS数据集进行PCA和PLS-DA分析。最后，利用投影变量重要性（Variable importance in the Projection，VIP）参数筛选有鉴别价值的MS特征。利用这种方法，三种药用植物麻黄，草麻黄，中麻黄，木麻黄。，had been successfully成功differentiated区别.此外，该方法还被用于鉴别蜂蜜处理后麻黄成分的变化。本研究表明，DI-MS结合代谢组学技术是一种有效、准确的鉴别中药材来源的方法。
Herein, rapid and efficient identification of species of medicinal Ephedrae Herba was performed using DI-MS (direct ionization-mass spectrometry)-based metabolomics analysis. As a direct ionization technique,DI-MS can provide rapid analysis of samples without sample preparation, so it has been advantageouslyapplied to high-throughput metabolomics analysis. In this flow chart, the MS fingerprints of EphedraeHerba samples obtained by DI-MS method were firstly pretreated by background subtracts, smooth andcenter procedures to extract MS features. Then, these MS features were aligned using in a house programwritten in MATLAB to produce MS dataset. After that, PCA and PLS-DA analysis were performed based onthe obtained MS dataset. Finally, the parameter VIP (Variable importance in the Projection) was employedto screen the valuable MS features for discrimination. Using such an approach, three medicinal speciesof Ephedrae Herba, Ephedra sinica, Ephedra intermedia, and Ephedra equisetina., had been successfullydifferentiated. Additionally, this method has also been applied to identify the changes in componentsof Ephedrae Herba after honey treated. In present study, DI-MS in combination with metabolomics wasshown to be an efficient and accurate way to identify the sources of herbs.