Data-Driven Filter for Detector Oscillation Artifacts in Time-of-Flight Mass Spectrometry

effectively partitioned the data by TOF-MS platform, revealing distinct groupings across libraries and contributors. By specifically targeting detector-derived artifacts, this workflow reduces false positives and improves feature prioritization and compound identification, enhancing the robustness of TOF-MS-based chemical analyses.

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Publication Details

Journal
Analytical Chemistry
Published
2026-05-12
DOI
https://doi.org/10.1021/acs.analchem.6c00762
Primary Topic
Mass Spectrometry Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Data-Driven Filter for Detector Oscillation Artifacts in Time-of-Flight Mass Spectrometry

Karl J. Jobst, Kas J. Houthuijs, Frederic Béen
Analytical Chemistry
Mass Spectrometry Techniques and Applications
article

Data-Driven Filter for Detector Oscillation Artifacts in Time-of-Flight Mass Spectrometry

Karl J. Jobst, Kas J. Houthuijs, Frederic Béen
article en

Abstract

effectively partitioned the data by TOF-MS platform, revealing distinct groupings across libraries and contributors. By specifically targeting detector-derived artifacts, this workflow reduces false positives and improves feature prioritization and compound identification, enhancing the robustness of TOF-MS-based chemical analyses.

Analytical Chemistry
Memorial University of Newfoundland (CA), KWR Water Research Institute (NL), Life University (US), Vrije Universiteit Amsterdam (NL)
Affordable and clean energy
Openalex Percentile: Top 10%
Mass Spectrometry Techniques and Applications
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