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首页> 外文期刊>Rapid Communications in Mass Spectrometry: RCM >Gas chromatography/flame ionisation detection mass spectrometry for the detection of endogenous urine metabolites for metabonomic studies and its, use as a complementary tool to nuclear magnetic resonance spectroscopy
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Gas chromatography/flame ionisation detection mass spectrometry for the detection of endogenous urine metabolites for metabonomic studies and its, use as a complementary tool to nuclear magnetic resonance spectroscopy

机译:气相色谱/火焰电离检测质谱法用于代谢组学研究中内源尿液代谢物的检测及其作为核磁共振波谱学的补充工具

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Metabonomics is a relatively new field of research in which the total pool of metabolites in body fluids or tissues from different patient groups is subjected to comparative analysis. Nuclear magnetic resonance (NMR) spectroscopy is the technology that is currently most widely used for the analysis of these highly complex metabolite mixtures, and hundreds of metabolites can be detected without any upfront separation. We have investigated in this study whether gas chromatography (GC) separation in combination with flame ionisation detection (FID) and mass spectrometry (MS) detection can be used for metabolite profiling from urine. We show that although GC sample preparation is much more involved than for NMR, hundreds of metabolites can reproducibly be detected and analysed by GC. We show that the data quality is sufficiently high - particularly if appropriate baseline correction and time-warping methods are applied - to allow for data comparison by chemometrics methods. A sample set of urines from eleven healthy human volunteers was analysed independently by GC and NMR, and subsequent chemometrics analysis of the two datasets showed some similar features. As judged by NIST database searches of the GUMS data some of the major metabolites that are detected by NMR are also visible by GC/MS. Since in contrast to NMR every peak in GC corresponds to a single metabolite, the electron ionisation spectra can be used to quickly idenfify metabolites of interest if their reference spectra are present in a searchable database. In summary, we show that GC is a method that can be used as a complementary tool to NMR for metabolite profiling of urine samples. Copyright (c) 2006 John Wiley & Sons, Ltd.
机译:代谢组学是一个相对较新的研究领域,其中对来自不同患者组的体液或组织中代谢物的总库进行比较分析。核磁共振(NMR)光谱技术是目前最广泛用于分析这些高度复杂的代谢物混合物的技术,无需进行任何前期分离即可检测到数百种代谢物。在这项研究中,我们研究了气相色谱(GC)分离与火焰离子化检测(FID)和质谱(MS)检测相结合是否可用于尿液中的代谢物分析。我们显示,尽管GC样品制备比NMR参与得多,但GC可重现地检​​测和分析数百种代谢产物。我们表明数据质量足够高-尤其是如果应用了适当的基线校正和时间扭曲方法-可以通过化学计量学方法进行数据比较。通过GC和NMR独立分析了来自11名健康人类志愿者的尿液样本集,随后对这两个数据集的化学计量学分析显示了一些相似的特征。根据NIST数据库对GUMS数据的搜索判断,通过NMR检测到的一些主要代谢物在GC / MS中也可见。由于与NMR相反,GC中的每个峰都对应一个单一的代谢物,因此如果可检索的数据库中存在参考代谢物的参考光谱,则可以使用电子电离光谱快速识别目标代谢物。总而言之,我们表明GC是一种可以用作尿液代谢物谱分析的NMR补充工具的方法。版权所有(c)2006 John Wiley&Sons,Ltd.

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