High Peak Density Artifacts in Fourier Transform Mass Spectra and their Effects on Data Analysis
Joshua M. MitchelliD, Robert M FlightiD, Qing Jun WangiD, Woo-Young Kang, Richard M. HigashiiD, Teresa W.‐M. FaniD, Andrew N. LaneiD, Hunter MoseleyiD
Abstract
Fourier-transform mass spectrometry (FT-MS) allows for the high-throughput and high-resolution detection of thousands of metabolites. Observed spectral features (peaks) that are not isotopologues do not directly correspond to known compounds and cannot be placed into existing metabolic networks. Spectral artifacts account for many of these unidentified peaks, and misassignments made to these artifact peaks can create large interpretative errors. Without accurate identification of artifactual features and correct assignment of real features, discerning their roles within living systems is effectively impossible.\n\nWe have observed three types of artifacts unique to FT-MS that often result in regions of abnormally high peak density (HPD), which we collectively refer to as HPD artifacts: i) fuzzy sites representing small regions of m/z space with a fuzzy appearance due to the extremely high number of peaks present; ii) ringing due to a very intense peak producing side bands of decreasing intensity that are symmetrically distributed around the main peak; and iii) partial ringing where only a subset of the side bands are observed for an intense peak. Fuzzy sites and partial ringing appear to be novel artifacts previously unreported in the literature and we hypothesize that all three artifact types derive from Fourier transformation-based issues. In some spectra, these artifacts account for roughly a third of the peaks present in the given spectrum. We have developed a set of tools to detect these artifacts and approaches to mitigate their effects on downstream analyses.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 16
- FWCI
- 0.89
- Field percentile
- top 28%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Scan-Centric, Frequency-Based Method for Characterizing Peaks from Direct Injection Fourier transform Mass Spectrometry Experiments
Robert M Flight, Joshua M. Mitchell, Hunter Moseley·MetabolitesPeer-reviewed·Jun 2, 2022
- A Multiresolution Hierarchical Approach to Peak Picking for High Resolution Mass Spectrometry Data Analysis
Vojtěch Bartoň, Ivana Ihnatová, … Vlad Popovici·bioRxiv·Dec 10, 2025
- A generalizable method for false-discovery rate estimation in mass spectrometry-based lipidomics
Grant M. Fujimoto, Jennifer E Kyle, … Samuel Payne·bioRxiv·Feb 18, 2020
- Simplifying MS1 and MS2 spectra to achieve lower mass error, more dynamic range, and higher peptide identification confidence on the Bruker timsTOF Pro
Daryl Wilding‐McBride, Laura F. Dagley, … Andrew Ian Webb·PLoS ONEPeer-reviewed·Jul 7, 2022
- MassID provides near complete annotation of metabolomics data with identification probabilities
Ethan Stancliffe, Monil Gandhi, … Gary J. Patti·bioRxiv·Feb 14, 2026
- Data processing of product ion spectra: Methods to control false discovery rate in compound search results for non-targeted metabolomics
Fumio Matsuda·bioRxiv·Jun 16, 2024