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基于 LC-MS 的特征碎片信息分析未知天然产物的近期(2000-2015 年)发展。

Recent (2000-2015) developments in the analysis of minor unknown natural products based on characteristic fragment information using LC-MS.

机构信息

Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China.

Chengdu Institute of Organic Chemistry, Chinese Academy of Sciences, Chengdu, 610041, China.

出版信息

Mass Spectrom Rev. 2018 Mar;37(2):202-216. doi: 10.1002/mas.21514. Epub 2016 Jun 24.

Abstract

Liquid chromatography-Mass Spectrometry (LC-MS) has been widely used in natural product analysis. Global detection and identification of nontargeted components are desirable in natural product research, for example, in quality control of Chinese herbal medicine. Nontargeted components analysis continues to expand to exciting life science application domains such as metabonomics. With this background, the present review summarizes recent developments in the analysis of minor unknown natural products using LC-MS and mainly focuses on the determination of the molecular formulae, selection of precursor ions, and characteristic fragmentation patterns of the known compounds. This review consists of three parts. Firstly, the methods used to determine unique molecular formula of unknown compounds such as accurate mass measurements, MS spectra, or relative isotopic abundance information, are introduced. Secondly, the methods improving signal-to-noise ratio of MS/MS spectra by manual-MS/MS or workflow targeting-only signals were elucidated; pure precursor ions can be selected by changing the precursor ion isolated window. Lastly, characteristic fragmentation patterns such as Retro-Diels-Alder (RDA), McLafferty rearrangements, "internal residue loss," and so on, occurring in the molecular ions of natural products are summarized. Classical application of characteristic fragmentation patterns in identifying unknown compounds in extracts and relevant fragmentation mechanisms are presented (RDA reactions occurring readily in the molecular ions of flavanones or isoflavanones, McLafferty-type fragmentation reactions of some natural products such as epipolythiodioxopiperazines; fragmentation by "internal residue loss" possibly involving ion-neutral complex intermediates). © 2016 Wiley Periodicals, Inc. Mass Spec Rev 37:202-216, 2018.

摘要

液相色谱-质谱联用(LC-MS)已广泛应用于天然产物分析。在天然产物研究中,例如中草药的质量控制,期望能够进行非靶向成分的全局检测和鉴定。非靶向成分分析继续扩展到令人兴奋的生命科学应用领域,如代谢组学。在此背景下,本综述总结了近年来使用 LC-MS 分析微量未知天然产物的最新进展,主要集中在确定未知化合物的分子公式、选择前体离子和已知化合物的特征碎裂模式上。本综述分为三个部分。首先,介绍了用于确定未知化合物独特分子公式的方法,如精确质量测量、MS 谱或相对同位素丰度信息。其次,阐述了通过手动-MS/MS 或仅针对信号的工作流程来提高 MS/MS 谱信噪比的方法;可以通过改变前体离子隔离窗口来选择纯前体离子。最后,总结了天然产物分子离子中出现的特征碎裂模式,如逆-Diels-Alder(RDA)、麦拉弗蒂重排、“内部残基损失”等。介绍了特征碎裂模式在鉴定提取物中未知化合物中的经典应用及其相关的碎裂机制(黄酮或异黄酮的分子离子中 RDA 反应很容易发生,某些天然产物如硫代二氧杂环戊二酮的麦拉弗蒂型碎裂反应;“内部残基损失”可能涉及离子-中性复合物中间体的碎裂)。©2016 年 Wiley 期刊,Inc. 质谱评论 37:202-216,2018.

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