ArticleAnalytical chemistry2025
Harmonization of FT-ICR-MS Instruments for Interoperable Multi-Laboratory Comprehensive Compositional Profiling.
Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- MALDI Mass Spectrometry Imaging in Alzheimer's Disease Lipidomics: Matrix Selection, Spatial Lipid Pathology and Emerging Analytical Strategies.International journal of molecular sciences · 2026Review
- A sulfatide-centered ultra-high-resolution magnetic resonance MALDI imaging benchmark dataset for MS1-based lipid annotation tools.GigaScience · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Given the long hardware lifespan, fixed installation, and comparatively high investment required to procure them, Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) instruments tend to have a long operational life. The field is constantly evolving with rapidly advancing instrumental developments, and FT-ICR research groups work with a range of instrument designs from different generations. Consequently, compositional spectra comparability between instruments is a critical concern in FT-ICR-MS, particularly due to the variability introduced by commonly used direct infusion methods. This study demonstrates interlaboratory comparability of FT-ICR-MS molecular profiles using a 12 T solariX with an Infinity Cell and a 7 T scimaX with a ParaCell, with closely matched sample introduction and ion guide systems. Using analytically challenging pet food samples, we achieved similar instrument performance metrics, including resolving power, mass error, feature count, signal-to-noise ratios, and
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Registered trials
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 Socratic graph.