Absorption Mode Broadband 2D MS for Proteomics and Metabolomics
Year: 2026
Type: article
Abstract: Two-dimensional mass spectrometry (2D MS) is a method for tandem mass spectrometry that enables the correlation between precursor and fragment ions without the need for ion isolation. On a Fourier transform ion cyclotron resonance mass spectrometer, the phase correction functions for absorption mode data processing were found to be linear in the precursor ion dimension and quadratic in the fragment ion dimension. Phase-corrected absorption mode data processing on limited data sets has previously shown improvements in signal-to-noise ratio (SNR) and resolving power by a factor of 2. Here, we have expanded phase-corrected absorption mode data processing to 2D mass spectra regardless of size and frequency range. We have applied phase-corrected absorption mode 2D MS to top-down analysis of variously oxidized ubiquitin proteoforms generated by fast photochemical oxidation of proteins (FPOP) and to an extract of ergot alkaloids. We show that phase-corrected absorption mode data processing significantly improves both the SNR and the resolving power of the 2D mass spectrum compared to standard magnitude mode in terms of sequence coverage in top-down proteomics, as well as the accuracy of precursor-fragment correlation in metabolomics.
Institutions: Universität Innsbruck, Czech Academy of Sciences, Czech Academy of Sciences, Institute of Microbiology, Université de Rouen Normandie, Charles University, Centre National de la Recherche Scientifique, Inserm, Institut de génétique et de biologie moléculaire et cellulaire, Université de Strasbourg
Language: English
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,500
Funders: European Commission, Ministerstvo Školství, Mládeže a Tělovýchovy, Grantová Agentura České Republiky, Austrian Science Fund, European Regional Development Fund, Mikrobiologický Ústav, Akademie Věd České Republiky, H2020 European Institute of Innovation and Technology, H2020 Marie Skłodowska-Curie Actions
OpenAlex ID: W7156357626
