Tolstikov Vladimir V, Fiehn Oliver, Tanaka Nobuo
Genome Center, University of California-Davis, USA.
Methods Mol Biol. 2007;358:141-55. doi: 10.1007/978-1-59745-244-1_9.
Analysis of the entire metabolome as the sum of all detectable components in the sample rather than analysis of each individual metabolite is performed by the metabolomics approaches. To monitor in parallel hundreds or even thousands of metabolites, high-throughput techniques are required that enable screening for relative changes rather than absolute concentrations of compounds. Most analytical techniques for profiling small molecules consist of gas chromatography (GC) or high-performance liquid chromatography (HPLC) coupled to mass spectrometry. HPLC separations are better suited for the analysis of labile and high molecular weight compounds, and for the analysis of nonvolatile polar compounds in their natural form. Although GC- and HPLC-based profiling techniques are not truly quantitative, the compounds detecting and employing the acceptable standards may compare their relative amounts. We have demonstrated that reversed-phase monolithic capillary chromatography and hydrophilic chromatography can be successfully applied for sufficient plant crude extracts separations and metabolomics studies.
代谢组学方法是对样本中所有可检测成分的总和进行整体代谢组分析，而非对每个单独的代谢物进行分析。为了并行监测数百甚至数千种代谢物，需要高通量技术，以便能够筛选化合物的相对变化而非绝对浓度。大多数小分子分析技术由气相色谱（GC）或与质谱联用的高效液相色谱（HPLC）组成。HPLC分离更适合分析不稳定和高分子量的化合物，以及分析天然形式的非挥发性极性化合物。尽管基于GC和HPLC的分析技术并非真正定量，但检测化合物并采用可接受标准可以比较它们的相对含量。我们已经证明，反相整体毛细管色谱和亲水色谱可以成功应用于植物粗提物的充分分离和代谢组学研究。
