Wilson Ian D, Want Elizabeth
Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College, London, UK.
Methods Mol Biol. 2025;2891:109-129. doi: 10.1007/978-1-0716-4334-1_6.
Untargeted analysis by LC-MS is a valuable tool for metabolic profiling (metabonomics/metabolomics), and applications of this technology have grown rapidly over the past decade. LC-MS offers advantages of speed, sensitivity, relative ease of sample preparation, and large dynamic range compared to other platforms in this role. However, like any analytical approach, there are still drawbacks and challenges that have to be overcome, some of which are being addressed by advances in both column chemistries and instrumentation. In particular, the combination of LC-MS with ion mobility offers many new possibilities for improved analyte separation, detection, and structural identification. There are many untargeted LC-MS approaches which can be applied to metabolic phenotyping, and these usually need to be optimized for the type of sample, the nature of the study, or the biological question. Some of the main LC-MS approaches for untargeted metabolic phenotyping are described in detail in the following protocol.
液相色谱-质谱联用的非靶向分析是代谢谱分析（代谢组学）的一种有价值的工具，在过去十年中，这项技术的应用迅速增长。与其他用于此目的的平台相比，液相色谱-质谱联用具有速度快、灵敏度高、样品制备相对容易以及动态范围大等优点。然而，与任何分析方法一样，仍存在一些必须克服的缺点和挑战，其中一些正通过柱化学和仪器设备的进步来解决。特别是，液相色谱-质谱联用与离子淌度的结合为改善分析物分离、检测和结构鉴定提供了许多新的可能性。有许多非靶向液相色谱-质谱联用方法可应用于代谢表型分析，这些方法通常需要针对样品类型、研究性质或生物学问题进行优化。以下方案将详细描述一些用于非靶向代谢表型分析的主要液相色谱-质谱联用方法。
