中文摘要：

代谢组学是近年来发展起来的系统生物学分支，旨在揭示生物体受外界刺激后，体液、细胞及组织等生物样品中内源性代谢物的变化规律。气相色谱．质谱联用技术（GC-MS）具有较高的分辨率和检测灵敏度，并且配有标准谱图库，可以方便地鉴别代谢组分，因而在代谢组学中应用广泛。本文介绍了GC—MS代谢组学研究的关键技术，包括衍生化技术、代谢物鉴定及数据分析；同时，介绍了GC—MS用于检测小分子代谢物如氨基酸、脂肪酸、有机酸及糖类等的典型应用。

英文摘要：

Metabolomics is a branch of system biology developed in recent years. It aims to reveal the variation of endogenous metabolic profiles in biological samples, such as body fluids, cells, and tissues, when subjected to external stimuli. Gas chromatography-mass spectrometry （GC-MS） has high resolution and detection sensitivity, with a standard spectral library to facilitate identification of endogenous metabolites. Thus, GC-MS has been widely employed in metabolomics. This review introduces key technologies in GC-MS based metabolomics, including derivatization, identification of metabolites, and data analysis. Meanwhile, typical applications in GC-MS metabolomics describing metabolic profiles of low-molecular-weight metabolites, such as amino acids, fatty acids, organic acids, and sugars are described.