Identification of Metabolites through GC/LC–MS Processed Data using Different Reference Libraries and Their Comparison

Sarika Srivastava; Priya Ranjan Kumar; Santosh Kumar Mishra

Identification of Metabolites through GC/LC–MS Processed Data using Different Reference Libraries and Their Comparison

Sarika Srivastava, Priya Ranjan Kumar, Santosh Kumar Mishra

Abstract

Much significant advancement has been reported in the last few years in the field of metabolomics studies. The high-end computer applications are already contributing to the research and analysis in the field of life sciences. There are many hardware and softwares available, which can be used with various biomolecular separation and analysis instruments like chromatography, mass spectroscopy (MS), NMR, etc. The metabolite identification is the crucial part of the metabolomics study. The biosample collected from any resource need to be analysed from GC/LC–MS or NMR-type instrumentation to precisely identify the compounds present in the sample qualitatively and quantitatively. There are many tools and databases already available which can be used for the pre-processing, processing and analysis of raw data generated from these instruments. Various reference libraries are also available, which can be used for the identification of metabolites present in the sample after the processing of raw data. In this study, we have reviewed and compared different libraries and tools available for the metabolite identification from GC/ LC–MS data.

Keywords

metabolomics, reference libraries, GC–MS, LC–MS, metabolite profiling

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