Evidence map›Paper›PMID 42350839›Full record

ArticleAnalytical and bioanalytical chemistry2026

Evaluation of TIMS-derived peptide mobility measurements: calibration strategy and MS1/MS2 discrepancies.

Anh Tran, Tytus Mak, Meghan Burke Harris

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Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Anh TranMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology (NIST), Gaithersburg, MD, 20899, USA. anhtran6022@gmail.com.ORCID http://orcid.org/0000-0002-4097-4999
Tytus MakMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology (NIST), Gaithersburg, MD, 20899, USA.
Meghan Burke HarrisMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology (NIST), Gaithersburg, MD, 20899, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widespread adoption of trapped ion mobility coupled to mass spectrometry for proteome analysis necessitates high-quality data measurement of both ion mobility and mass spectra. In this study, the accuracy of ion mobility measurements in the context of mass spectral (MS) library building and searching is evaluated. Key factors influencing measurement accuracy, such as calibration strategy and the timing of acquisition relative to the chromatographic apex, are systematically investigated. A calibration system based on a synthetic peptide mixture is shown to improve calibration performance. Further, reproducibility of MS1- and MS2-associated mobility measurements in data-dependent acquisition (DDA) is analyzed. Overall, this work identifies methods to improve ion mobility measurement accuracy for proteomics analyses using a standardized synthetic peptide mixture.

Indexed as

Ion Mobility SpectrometryMass SpectrometryPeptidesProteomicsTandem Mass SpectrometryCalibrationReproducibility of ResultsPeptidesIon mobilityMass spectrometryProteomics

Identifiers

PMID42350839

What Socratic holds

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Registered trials

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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.