ArticleAnalytica chimica acta2019
Improved segmented-scan spectral stitching for stable isotope resolved metabolomics (SIRM) by ultra-high-resolution Fourier transform mass spectrometry.
Article in Analytica chimica acta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Detection of Single Ag Nanoparticles Using Laser Desorption/Ionization Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2023Article
- Molecular Characterization of Organophosphorus Compounds in Wildfire Smoke Using 21-T Fourier Transform-Ion Cyclotron Resonance Mass Spectrometry.Analytical chemistry · 2022Article
- NMR Methods for Determining Lipid Turnover via Stable Isotope Resolved Metabolomics.Metabolites · 2021Article
- Towards Higher Sensitivity of Mass Spectrometry: A Perspective From the Mass Analyzers.Frontiers in chemistry · 2021Review
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
We have implemented a linear ion trap (LIT)-based SIM-stitching method for ultra-high-resolution Fourier transform mass spectrometry (FTMS) that increases the S/N over a wide m/z range compared to non-segmented wide full-scan (WFS) spectra. Here we described an improved segmented spectral scan stitching method that was based on quadrupole mass filter (QMF)-SIM, which overcame previous limitations of ion signal loss in LIT. This allowed for accurate representation of isotopologue distributions, both at natural abundance and in stable isotope-resolved metabolomics (SIRM)-based experiments. We also introduced a new spectral binning method that provided more precise and resolution-independent bins for irreversibly noise-suppressed FTMS spectra. We demonstrated a substantial improvement in S/N and sensitivity (typically > 10-fold) for
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