Literature DB >> 30421227

High-Throughput Solid-Phase Microextraction-Liquid Chromatography-Mass Spectrometry for Microbial Untargeted Metabolomics.

Fatemeh Mousavi1, Barbara Bojko2, Janusz Pawliszyn2.   

Abstract

Nowadays, metabolomics data, when combined with other "omics" data, can provide important information regarding systems biology. Acquiring a comprehensive untargeted metabolome snapshot of complex sample matrices requires proper sample preparation, and access to sophisticated analytical instrumentation such as mass spectrometry. In metabolomics, sample preparation has substantial influence on the quality of the obtained metabolome profile. To achieve a real snapshot of the metabolome, the analysis method must be capable of inhibiting metabolite interconversion by immediately quenching all metabolome activity. Application of solid-phase microextraction (SPME), particularly in its in vivo set up, when undertaken in conjunction with a conscious selection of coating type based on the chosen sample matrix and the physicochemical properties of the analytes under study, is capable of providing extraction of representative metabolomes for many biological matrices. Metabolomes identified by SPME include low-abundance species and short-lived or unstable metabolites hardly captured by traditional extraction techniques. SPME coupled to liquid chromatography-high-resolution mass spectrometry has recently been introduced as an innovative alternative technique that integrates sampling, sample preparation, and extraction for metabolic profiling and isolation of candidate biomarkers. This chapter presents a detailed protocol for microbial metabolome analysis of Escherichia coli as a model organism, applying the high-throughput SPME-LC-MS workflow.

Entities:  

Keywords:  Automation; E. coli; High-throughput analysis; LC-MS; Metabolomics; SPME; Sample preparation

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Year:  2019        PMID: 30421227     DOI: 10.1007/978-1-4939-8757-3_7

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Metabolic Evaluation of Urine from Patients Diagnosed with High Grade (HG) Bladder Cancer by SPME-LC-MS Method.

Authors:  Kamil Łuczykowski; Natalia Warmuzińska; Sylwia Operacz; Iga Stryjak; Joanna Bogusiewicz; Julia Jacyna; Renata Wawrzyniak; Wiktoria Struck-Lewicka; Michał J Markuszewski; Barbara Bojko
Journal:  Molecules       Date:  2021-04-11       Impact factor: 4.411

Review 2.  Metabolomics-Guided Elucidation of Plant Abiotic Stress Responses in the 4IR Era: An Overview.

Authors:  Morena M Tinte; Kekeletso H Chele; Justin J J van der Hooft; Fidele Tugizimana
Journal:  Metabolites       Date:  2021-07-08
  2 in total

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