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Updated: Apr 28, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
Published on: March 14, 2013
Absorption Mode Broadband 2D MS for Proteomics and Metabolomics
Maria A van Agthoven1,2,3, Marek Polák2,4, Jan Fiala2,4
1Université de Rouen-Normandie, Institut CARMeN UMR 6064, IRCOF, 1 rue Tesnière, 76821 Mont St Aignan Cedex, France.
Phase-corrected absorption mode processing enhances two-dimensional mass spectrometry (2D MS) data. This advanced technique improves signal-to-noise ratio and resolving power for proteomics and metabolomics analyses.
Area of Science:
- Analytical Chemistry
- Spectrometry
Background:
- Two-dimensional mass spectrometry (2D MS) correlates precursor and fragment ions without isolation.
- Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) data processing requires phase correction for optimal results.
- Previous work showed phase-corrected absorption mode improved signal-to-noise ratio (SNR) and resolving power by a factor of 2 on limited data sets.
Purpose of the Study:
- Expand phase-corrected absorption mode data processing to all 2D mass spectra.
- Apply this method to complex biological and chemical samples.
- Demonstrate significant improvements in SNR and resolving power.
Main Methods:
- Developed and applied phase-corrected absorption mode data processing to 2D mass spectra.
- Utilized Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS).
- Analyzed top-down proteomics of oxidized ubiquitin proteoforms and ergot alkaloid extracts.
Main Results:
- Phase-corrected absorption mode processing was successfully applied to 2D MS data of varying sizes and frequency ranges.
- Significant improvements in SNR and resolving power were observed compared to standard magnitude mode.
- Enhanced sequence coverage in top-down proteomics and precursor-fragment correlation accuracy in metabolomics were achieved.
Conclusions:
- Phase-corrected absorption mode data processing is a powerful technique for enhancing 2D MS data.
- This method offers substantial benefits for both top-down proteomics and metabolomics.
- The improved SNR and resolving power facilitate more accurate and comprehensive analyses.
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