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Mass Spectrometry: Molecular Fragmentation Overview01:20

Mass Spectrometry: Molecular Fragmentation Overview

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  1. Home
  2. Imfrag: A Tool To Recognize In-source Fragmentation In Ion Mobility-enabled Data-independent Acquisition Workflows.
  1. Home
  2. Imfrag: A Tool To Recognize In-source Fragmentation In Ion Mobility-enabled Data-independent Acquisition Workflows.

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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
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Published on: August 19, 2025

IMFrag: A Tool to Recognize In-Source Fragmentation in Ion Mobility-Enabled Data-Independent Acquisition Workflows.

Ryan Nguyen1, Anvitaa Anandkumar1, Griffin Rangel1

  • 1Department of Medicinal Chemistry, University of Washington, Seattle, Washington 98195, United States.

Analytical Chemistry
|June 6, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

In untargeted metabolomics, in-source fragmentation (ISF) causes misidentification. IMFrag, using ion mobility-mass spectrometry (IM-MS), differentiates ISF from true fragments, improving compound identification in complex samples.

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Area of Science:

  • Analytical Chemistry
  • Biochemistry
  • Computational Chemistry

Background:

  • High-resolution mass spectrometry is vital for untargeted metabolomics and exposomics.
  • In-source fragmentation (ISF) poses a significant challenge, leading to compound misidentification.
  • Current methods struggle to distinguish ISF from genuine MS/MS fragments, hindering accurate analysis.

Purpose of the Study:

  • To develop a computational tool, IMFrag, for differentiating in-source fragments from true product ions using ion mobility-mass spectrometry (IM-MS).
  • To enhance the accuracy of compound identification in untargeted metabolomics and exposomics studies.
  • To leverage structural information from IM-MS to improve MS/MS spectral library matching.

Main Methods:

  • Development of IMFrag, a Jupyter notebook-based tool integrating IM-MS data.
  • Utilizing ion mobility signatures to distinguish fragments generated at different stages of the mass spectrometry process.
  • Application of IM-enabled data-independent acquisition (IM-DIA) for analyzing l-tryptophan and diverse small molecules.
  • Validation using complex biological matrices, including human plasma samples.
  • Main Results:

    • IMFrag successfully differentiates ISF from collision-induced dissociation (CID) fragments based on distinct ion mobility signatures.
    • Distinct mobility patterns were observed for identical fragment ions originating from different fragmentation events.
    • IM-DIA provided additional structural insights, such as dimer formation and protonation sites, not evident in standard LC-MS.
    • The tool demonstrated utility in resolving ambiguities in complex biological samples, like coeluting isobaric compounds.

    Conclusions:

    • IMFrag provides an accessible framework for analyzing MS¹ and post-IM MS² data in untargeted studies.
    • The integration of IM-MS data significantly improves the reliability of compound identification by mitigating ISF.
    • This approach enhances untargeted analysis pipelines and aids in the development of robust MS/MS spectral libraries.