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Combining Hydrophilic Interaction Chromatography (HILIC) and Isotope Tagging for Off-Line LC-NMR Applications in Metabolite Analysis

机译:结合亲水相互作用色谱(HILIC)和同位素标记技术进行离线LC-NMR在代谢物分析中的应用

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摘要

The complementary use of liquid chromatography (LC) and nuclear magnetic resonance (NMR) has shown high utility in a variety of fields. While the significant benefit of spectral simplification can be achieved for the analysis of complex samples, other limitations remain. For example, 1H LC-NMR suffers from pH dependent chemical shift variations, especially during urine analysis, owing to the high physiological variation of urine pH. Additionally, large solvent signals from the mobile phase in LC can obscure lower intensity signals and severely limit the number of metabolites detected. These limitations, along with sample dilution, hinder the ability to make reliable chemical shift assignments. Recently, stable isotopic labeling has been used to detect quantitatively specific classes of metabolites of interest in biofluids. Here we present a strategy that explores the combined use of two-dimensional hydrophilic interaction chromatography (HILIC) and isotope tagged NMR for the unambiguous identification of carboxyl containing metabolites present in human urine. The ability to separate structurally related compounds chromatographically, in off-line mode, followed by detection using 1H-15N 2D HSQC (two-dimensional heteronuclear single quantum coherence) spectroscopy, resulted in the assignment of low concentration carboxyl-containing metabolites from a library of isotope labeled compounds. The quantitative nature of this strategy is also demonstrated.
机译:液相色谱法(LC)和核磁共振(NMR)的互补使用在许多领域都显示出很高的实用性。虽然可以简化复杂样品的分析,从而获得光谱简化的显着优势,但仍然存在其他局限性。例如, 1 LC LC-NMR受pH依赖的化学位移变化的影响,特别是在尿液分析过程中,这是由于尿液pH的生理变化很大。此外,液相色谱中来自流动相的大量溶剂信号会掩盖强度较低的信号,并严重限制了检测到的代谢物的数量。这些限制以及样品稀释,阻碍了进行可靠的化学位移分配的能力。最近,稳定的同位素标记已用于检测生物流体中感兴趣的代谢产物的定量特定类别。在这里,我们提出了一种策略,该方法探讨了二维亲水相互作用色谱法(HILIC)和同位素标记的NMR的结合使用,用于明确鉴定人尿中存在的含羧基代谢物。离线分离色谱结构相关化合物的能力,然后使用 1 H- 15 N 2D HSQC(二维异核单量子相干)光谱进行检测从同位素标记的化合物库中分离出低浓度的含羧基代谢物。还证明了该策略的定量性质。

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