Want Elizabeth J
Computational and Systems Medicine, Imperial College London, London, UK.
Methods Mol Biol. 2018;1738:99-116. doi: 10.1007/978-1-4939-7643-0_7.
LC-MS untargeted analysis is a valuable tool in the field of metabolic profiling (metabonomics/metabolomics), and the applications of this technology have grown rapidly over the past decade. LC-MS offers advantages over other analytical platforms such as speed, sensitivity, relative ease of sample preparation, and large dynamic range. As with any analytical approach, there are still drawbacks and challenges to overcome, but advances are constantly being made regarding both column chemistries and instrumentation. There are numerous untargeted LC-MS approaches which can be used in this ever-growing research field; these can be optimized depending on sample type and the nature of the study or biological question. Some of the main LC-MS approaches for the untargeted analysis of biological samples will be described in detail in the following protocol.
液相色谱-质谱联用非靶向分析是代谢谱分析（代谢组学）领域的一项重要工具，在过去十年中，该技术的应用迅速增长。与其他分析平台相比，液相色谱-质谱联用具有速度快、灵敏度高、样品制备相对简便以及动态范围大等优势。与任何分析方法一样，仍有一些缺点和挑战需要克服，但在色谱柱化学和仪器设备方面都在不断取得进展。在这个不断发展的研究领域中，可以使用多种非靶向液相色谱-质谱联用方法；这些方法可根据样品类型以及研究性质或生物学问题进行优化。以下方案将详细描述用于生物样品非靶向分析的一些主要液相色谱-质谱联用方法。
