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通过液相色谱 - 库仑阵列检测分析鉴定代谢物:气相色谱 - 质谱联用和分馏提供与液相色谱 - 质谱联用/微核磁共振互补的重要信息。

Identification of metabolites from liquid chromatography-coulometric array detection profiling: gas chromatography-mass spectrometry and refractionation provide essential information orthogonal to LC-MS/microNMR.

作者信息

Gathungu Rose M, Bird Susan S, Sheldon Diane P, Kautz Roger, Vouros Paul, Matson Wayne R, Kristal Bruce S

机构信息

Department of Neurosurgery, Brigham and Women's Hospital, Department of Neurosurgery, Harvard Medical School, Boston, MA 02115, USA; Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA.

Department of Neurosurgery, Brigham and Women's Hospital, Department of Neurosurgery, Harvard Medical School, Boston, MA 02115, USA.

出版信息

Anal Biochem. 2014 Jun 1;454:23-32. doi: 10.1016/j.ab.2014.01.020. Epub 2014 Mar 18.

Abstract

Liquid chromatography-coulometric array detection (LC-EC) is a sensitive, quantitative, and robust metabolomics profiling tool that complements the commonly used mass spectrometry (MS) and nuclear magnetic resonance (NMR)-based approaches. However, LC-EC provides little structural information. We recently demonstrated a workflow for the structural characterization of metabolites detected by LC-EC profiling combined with LC-electrospray ionization (ESI)-MS and microNMR. This methodology is now extended to include (i) gas chromatography (GC)-electron ionization (EI)-MS analysis to fill structural gaps left by LC-ESI-MS and NMR and (ii) secondary fractionation of LC-collected fractions containing multiple coeluting analytes. GC-EI-MS spectra have more informative fragment ions that are reproducible for database searches. Secondary fractionation provides enhanced metabolite characterization by reducing spectral overlap in NMR and ion suppression in LC-ESI-MS. The need for these additional methods in the analysis of the broad chemical classes and concentration ranges found in plasma is illustrated with discussion of four specific examples: (i) characterization of compounds for which one or more of the detectors is insensitive (e.g., positional isomers in LC-MS, the direct detection of carboxylic groups and sulfonic groups in (1)H NMR, or nonvolatile species in GC-MS), (ii) detection of labile compounds, (iii) resolution of closely eluting and/or coeluting compounds, and (iv) the capability to harness structural similarities common in many biologically related, LC-EC-detectable compounds.

摘要

液相色谱 - 库仑阵列检测(LC - EC)是一种灵敏、定量且稳健的代谢组学分析工具,可补充常用的基于质谱(MS)和核磁共振(NMR)的方法。然而,LC - EC提供的结构信息很少。我们最近展示了一种工作流程,用于通过结合LC - 电喷雾电离(ESI) - MS和微NMR对LC - EC分析中检测到的代谢物进行结构表征。该方法现在扩展到包括:(i)气相色谱(GC) - 电子电离(EI) - MS分析,以填补LC - ESI - MS和NMR留下的结构空白;(ii)对含有多种共洗脱分析物的LC收集馏分进行二次分级分离。GC - EI - MS光谱具有更多信息丰富的碎片离子,可用于数据库搜索且具有可重复性。二次分级分离通过减少NMR中的光谱重叠和LC - ESI - MS中的离子抑制来增强代谢物表征。通过讨论四个具体示例来说明在分析血浆中发现的广泛化学类别和浓度范围时对这些额外方法的需求:(i)对一种或多种检测器不敏感的化合物的表征(例如,LC - MS中的位置异构体、¹H NMR中羧基和磺酸基的直接检测或GC - MS中的非挥发性物质),(ii)不稳定化合物的检测,(iii)紧密洗脱和/或共洗脱化合物的分离,以及(iv)利用许多生物学相关的、可被LC - EC检测的化合物中常见的结构相似性的能力。

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