The Henry Wellcome Building for Biomolecular NMR Spectroscopy, CRUK Institute for Cancer Studies, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
Phytochem Anal. 2010 Jan-Feb;21(1):22-32. doi: 10.1002/pca.1186.
One-dimensional (1D) (1)H NMR spectroscopy remains a leading analytical technology in metabolomics. Advantages of this approach include relatively rapid spectral acquisition and NMR resonances that provide a direct measure of metabolite concentration based upon a single internal standard. Severe spectral congestion can, however, significantly hinder both metabolite identification and quantification. Two-dimensional (1)H J-resolved (JRES) NMR spectroscopy retains many of the benefits of 1D NMR, but additionally disperses the overlapping resonances into a second dimension, reducing congestion and increasing metabolite specificity. The usefulness of this approach to metabolomics was first realised six years ago, and since then it has been used in biological, medical and environmental studies of plants and animals. Here we provide a basic introduction to the 2D JRES NMR experiment and then discuss strategies for spectral acquisition and processing in the context of metabolomics applications, concluding with some key recommendations: acquisition using a double spin-echo sequence with excitation sculpting; processing using the SEM window function, tilting and symmetricising, optionally followed by a skyline projection. Strategies for implementing JRES spectroscopy into the metabolomics toolbox are then considered, including its roles in metabolic fingerprinting, metabolite identification and metabolite quantification. Public resources and data standards for JRES metabolomics are reviewed. We conclude by evaluating the advantages (e.g. increased spectral dispersion and confidence in metabolite identification; fully automated processing; reduced batch-to-batch variation) and disadvantages (e.g. longer acquisition times; higher technical variability; phase-twisted lineshapes resulting in quantification errors) of 2D JRES NMR vs the established 1D approach for metabolomics.
一维 (1)H NMR 光谱仍然是代谢组学中的主要分析技术。这种方法的优点包括相对快速的光谱采集和 NMR 共振,这些共振基于单个内标物提供了代谢物浓度的直接测量。然而,严重的光谱拥挤会严重阻碍代谢物的鉴定和定量。二维 (1)H J 分辨 (JRES) NMR 光谱保留了 1D NMR 的许多优点,但此外还将重叠的共振分散到第二个维度,减少了拥挤并增加了代谢物的特异性。这种方法在代谢组学中的应用是六年前首次实现的,从那时起,它已被用于植物和动物的生物、医学和环境研究。在这里,我们提供了一个二维 JRES NMR 实验的基本介绍,然后讨论了在代谢组学应用中光谱采集和处理的策略,最后提出了一些关键建议:使用双自旋回波序列和激发整形进行采集;使用 SEM 窗口函数、倾斜和平移进行处理,可选地进行天空线投影。然后考虑了将 JRES 光谱学纳入代谢组学工具包的策略,包括其在代谢指纹分析、代谢物鉴定和代谢物定量中的作用。我们回顾了 JRES 代谢组学的公共资源和数据标准。最后,我们通过评估二维 JRES NMR 与成熟的 1D 代谢组学方法相比的优缺点(例如,增加的光谱分散度和代谢物鉴定的置信度;全自动处理;减少批间变异性)来评估 2D JRES NMR 的优缺点。