IntroductionMetabolomics is the "omics" science of metabolism and its definition is in analogy with other parts of biological science, genomics, transcriptomics and proteomics. The metabolome or study of metabolites covers all compounds formed in a biological system, from an organelle to an entire organism. Furthermore, the metabolome can be explained as the entire set of small molecules (non-polymeric compounds with a molecular weight less than ~1000 Da) that are found in general metabolic reactions as a by-product and that are biosynthesized by a viable system such as cell, tissue or organism. (Harrigan GG. 2003). Metabolites undergo dynamic changes because they are sensitive to genetic or environmental changes. It's just a part of the biology of the system that could be very useful because it allows us to observe the state of cells. On the other hand, metabolites are a direct and complete picture of the mechanism and life pathway within the cell. Among all creatures, it is predicted that there are approximately 100,000 compounds with a molecular weight of less than 1000 Da produced in different types of life. . It is estimated that there are approximately 3000 metabolites in the human species. While the number of genes is around 30,000, the number of transcripts is around 100,000 and it is estimated that up to 1,000,000 different proteins exist. Regarding the limited number of metabolome compared to other fields of biological system, metabolomics provides less complex and more quantitative data than genomics, transcriptomics and proteomics. Metabolites have varieties and are physically and chemically diverse, including salts, sugars, lipids, acids, bases, hormone steroids, and other compounds. This variety of metabolites is the focus of the article D. and Nicholson, JK (2002) NMR and pattern recognition studies of liver extracts and intact livers of rats treated with alpha-naphthylisothiocyanate. Biochemistry. Drug. 64- Weckwerth WA. In Metabolomics: methods and protocols. 2007; Humana Press Inc. - Weljie AM, Newton J, Mercier P, Carlson E, Slupsky CM. Targeted profiling: quantitative analysis of 1H NMR metabolomic data. Anal. Chem., 2006, 78 (13), pp 4430–4442.- Ye T, Mo H, Shanaiah N, Nagana Gowda GA, Zhang S, Raftery D. 15N chemo-selective tag for sensitive and high-speed nuclear magnetic resonance profiling resolution of the carboxyl-containing metabolome. Anal. Chem., 2009, 81 (12), pp 4882–4888.- Ye T, Zhang S, Mo H, Tayyari F, Nagana Gowda GA, , Raftery D 13C-Formylation for improved nuclear magnetic resonance profiling of amine metabolites in biofluids, Anal. Chem., 2010, 82 (6), pp 2303–2309.