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Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
Published on: March 14, 2013
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Metabolite profiling by direct analysis in real-time mass spectrometry
Christina M Jones1, María Eugenia Monge, Facundo M Fernández
1School of Chemistry and Biochemistry, Georgia Institute of Technology, 901 Atlantic Drive NW, Atlanta, GA, 30332, USA.
Methods in Molecular Biology (Clifton, N.J.)
|October 2, 2014
Summary
Untargeted metabolite profiling using Direct Analysis in Real-Time Mass Spectrometry (DART MS) offers a powerful method for analyzing human blood sera. This study details DART MS techniques for high-throughput metabolome analysis, optimizing parameters for enhanced sensitivity.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Metabolomics
Background:
- Untargeted metabolite profiling identifies disease-associated metabolites.
- Direct Analysis in Real-Time Mass Spectrometry (DART MS) is suitable for high-throughput metabolome analysis.
- Human blood sera analysis is crucial for understanding biological system responses.
Purpose of the Study:
- To describe untargeted blood sera metabolic profiling using DART MS.
- To present two distinct sample introduction methods: probe-mode and transmission-mode.
- To provide guidance on optimizing DART MS parameters for improved sensitivity.
Main Methods:
- Utilized Direct Analysis in Real-Time Mass Spectrometry (DART MS) for untargeted metabolomics.
- Employed both probe-mode and transmission-mode sample introduction geometries.
- Focused on optimizing DART parameters influencing metabolite desorption and ionization.
Main Results:
- Successfully applied DART MS for untargeted metabolomic analysis of human blood sera.
- Demonstrated the utility of both probe-mode and transmission-mode geometries.
- Identified key DART parameters affecting metabolite detection sensitivity.
Conclusions:
- DART MS is a valuable tool for high-throughput metabolome analysis of human blood sera.
- Optimization of DART parameters is critical for maximizing sensitivity in untargeted profiling.
- The described methods facilitate the identification of disease-associated metabolites.
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