Untargeted metabolomics plays a vital role in metabolomics works flows, and it aims to identify all of the metabolite present in the biological sample as much as possible. Therefore, in this field, the preparation of samples can be critical as its limited range of detected metabolomes impacts the analysis. The difficulties can also hinder sample preparation in metabolite extraction methods due to the physical and chemical diversity of the metabolites present in the sample. However, using solvent mixtures, a broad range of metabolites have been successfully extracted based upon their chemistry. Once separated, the metabolites in these samples can be separated further, either using liquid or gas chromatography, before being analyzed through mass spectrometry. The literature emphasizes the importance of the utilization of multiple platforms to analyze the metabolome of biological samples. These multiplatform workflows will broaden the coverage of metabolites' presence in the biological mixtures. This study focuses on optimizing the metabolite extraction procedure to analyze the fungal metabolites using GC-MS and LC-MS platforms. M<i>acrophomina phaseolina</i> will be used as the model fungus for this experiment as it is an economically important pathogen for a wide variety of crops. The results of the chemometric analysis to demonstrate the chemical variation of the metabolites of this subjected fungus, the extraction efficiency, and the diversity of the metabolites coverage of 5 different solvent systems will present in this presentation

Extraction method optimization to analyze the fungal metabolites using GC-MS and LC-MS platforms

ACS Fall 2021

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