Evidence map›Paper›PMID 41243362›Full record

ArticleRapid communications in mass spectrometry : RCM2026

Enhancing Chimeric Fragmentation Spectra Deconvolution Using Direct Infusion-Tandem Mass Spectrometry Across High-Resolution Mass Spectrometric Platforms.

Arina Ivanova, Wei Tang, Carsten Simon, Kai Dührkop, Sebastian Böcker, Gerd Gleixner

Abstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Arina IvanovaDepartment of Biogeochemical Processes, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID https://orcid.org/0000-0003-0591-9334
Wei TangChair for Bioinformatics, Friedrich Schiller University Jena, Jena, Germany.
Carsten SimonDepartment of Biogeochemical Processes, Max Planck Institute for Biogeochemistry, Jena, Germany.
Kai DührkopChair for Bioinformatics, Friedrich Schiller University Jena, Jena, Germany.
Sebastian BöckerChair for Bioinformatics, Friedrich Schiller University Jena, Jena, Germany.
Gerd GleixnerDepartment of Biogeochemical Processes, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID https://orcid.org/0000-0002-4616-0953

Funding

Deutsche Forschungsgemeinschaft BO 1910/20Deutsche Forschungsgemeinschaft SFB 1076
6 · The paper itself

Abstract

rationaleDirect infusion mass spectrometry (DI-MS) is a rapid analytical technique widely used in omics research and other fields. However, the complexity of DI-MS spectra frequently leads to co-fragmentation of analytes with similar m/z, resulting in chimeric fragmentation spectra that complicate compound identification. A DI-based tandem mass spectrometric method (DI-MS2), which modulates the intensity of precursors and fragments by the stepwise movement of the quadrupole isolation window, has been shown to successfully deconvolute chimeric fragmentation spectra. Yet, its applicability to different instruments and optimisation has not been evaluated.

methodWe evaluate the performance of DI-MS2 on two high-resolution instruments: a linear ion trap-Orbitrap (LIT-Orbitrap) and a quadrupole-Orbitrap (Q-Orbitrap). We examined the impact of six instrumental settings, including mass resolving power, isolation window width, step size between MS2 scans, number of microscans, collision energy and automatic gain control (AGC) target, on the analysis of isobaric mixtures with varying m/z differences.

resultsThe LIT-Orbitrap consistently achieved high-quality chimeric spectra deconvolution with an average similarity score of 0.98 despite unexpected intensity modulation patterns. The Q-Orbitrap provided four times faster measurements but showed more variable results: It achieved a similarity score of 0.96 for isobars with a m/z difference larger than 0.02, but only 0.56 for m/z differences of 0.006.

conclusionsThese findings indicate that the DI-MS2 is a robust and flexible method applicable across different MS platforms, though the Q-Orbitrap may be less suited for highly complex samples with multiple peaks per nominal mass. This highlights the potential of the DI-MS2 for structural elucidation of complex biological mixtures. Additionally, we provide initial setting optimisation guidelines to improve spectra deconvolution and measurement speed.

Indexed as

Tandem Mass Spectrometry

Identifiers

PMID41243362
PMCPMC12620602

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.