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Resolving isobaric interferences in direct infusion tandem mass spectrometry
Jérôme Kaeslin1, Renato Zenobi1
1Department of Chemistry and Applied Biosciences, ETH Zürich, Zürich, Switzerland.
IQAROS improves compound identification in direct infusion tandem high-resolution mass spectrometry (DI-HRMS) by resolving overlapping spectra from co-fragmenting isobars. This method enhances spectral clarity, leading to more accurate identification of compounds, even in complex samples like breath.
Area of Science:
- Analytical Chemistry
- Mass Spectrometry
- Metabolomics
Background:
- Co-fragmentation of precursors in direct infusion tandem high-resolution mass spectrometry (DI-HRMS) complicates fragment spectra.
- This spectral complexity can lead to false positives during compound identification.
Purpose of the Study:
- To introduce and validate a novel method, IQAROS (incremental quadrupole acquisition to resolve overlapping spectra), for improving compound identification in DI-HRMS.
- To address the challenge of spectral interference caused by co-fragmenting isobaric compounds.
Main Methods:
- IQAROS modulates precursor and fragment intensities by stepwise movement of the quadrupole isolation window.
- Modulated signals are deconvoluted using a linear regression model to reconstruct cleaner fragment spectra.
- Demonstrated on an Orbitrap mass analyzer with electrospray ionization (ESI) or secondary electrospray ionization (SESI).
Main Results:
- Reconstructed spectra using IQAROS accurately matched pure standards, outperforming the classical approach.
- IQAROS enabled more correct compound identifications compared to conventional methods.
- Successfully identified two isobaric biomarkers directly from a breath sample using SESI-HRMS.
Conclusions:
- IQAROS effectively generates cleaner fragment spectra for co-fragmenting isobars in DI-HRMS analysis.
- The method is user-friendly, configurable via standard instrument graphical interfaces.
- Facilitates compound characterization in DI-HRMS, particularly for high-throughput and real-time metabolomics.
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