Evidence map›Paper›PMID 42907657›Full record

ArticleAdvances in experimental medicine and biology2026

A Novel Approach for Post-Acquisition Mass Calibration in Metabolomic Profiling by High-Resolution Mass Spectrometry.

Newman Zhang, Guoan Zhang

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Article in Advances in experimental medicine and biology, 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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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

2 authors.

Newman ZhangRensselaer Polytechnic Institute, Troy, NY, USA.
Guoan ZhangProteomics and Metabolomics Core Facility, Weill Cornell Medicine, New York, NY, USA. guz2004@med.cornell.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-resolution mass spectrometry (HRMS) is essential for metabolomics due to its ability to deliver high mass accuracy for confident metabolite identification. However, maintaining this accuracy during large-scale studies is challenging because of instrumental drift, which can compromise data quality. Existing correction strategies, such as frequent recalibration, QC-based adjustments, or internal standard spiking, are often disruptive, costly, or limited in robustness. We present a novel post-acquisition mass calibration approach that uses endogenous metabolites as internal references, eliminating the need for additional experimental steps. Using hydrophilic interaction liquid chromatography coupled with HRMS (HILIC-HRMS) and a predefined metabolite panel, we demonstrate that a preliminary mass matching using a wide mass tolerance window provides sufficient reference points for estimating drift and correcting mass errors. The method effectively removes m/z-dependent deviations and restores accurate mass measurements across diverse sample types. This strategy is robust, easy to implement, and broadly applicable to targeted metabolomics workflows, offering a practical solution for improving mass accuracy in large-scale studies without added cost or complexity.

Indexed as

Liquid Chromatography-Mass SpectrometryMass SpectrometryMetabolomeMetabolomicsCalibrationChromatography, Liquid

Identifiers

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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 OpenQuestion graph.