Evidence map›Paper›PMID 42783779›Full record

ReviewMetabolites2026

Chemical Derivatization Strategies for Expanding Small Biomolecule Analysis by MALDI-MS.

Xintong Hu, Qinxue Wang, Yingying Lin, Jingjing Wan

Abstract readReview
In one paragraph

Review in Metabolites, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

4 authors.

Xintong HuSchool of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200241, China.
Qinxue WangSchool of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200241, China.
Yingying LinSchool of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200241, China.
Jingjing WanSchool of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200241, China.

Funding

National Key Research and Development Program of China 2024YFE0102200National Natural Science Foundation of China 22474040Shanghai Frontiers Science Center of Molecule Intelligent SynthesesShanghai Key Laboratory of Thoracic Tumor Biotherapy 2025SZ1006
6 · The paper itself

Abstract

Small biomolecules provide important information on cellular metabolism, signaling and disease-associated molecular changes. Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) enables rapid, high-throughput and spatially resolved molecular analysis, but its application to small biomolecules is often limited by poor ionization, low-mass background interference, ion suppression and insufficient structural information. To address these analytical challenges, this review summarizes chemical derivatization strategies that improve MALDI-MS analysis of small biomolecules. The representative strategies are discussed according to reaction mode and target functional group, including solution-phase, on-target, on-tissue, reactive-matrix-assisted and photo-/in-source approaches, with emphasis on amine-, carbonyl-, carboxyl- and double-bond-containing biomolecules. Chemical derivatization improves MALDI-MS performance by selectively modifying target functional groups, introducing charged or ionizable tags, enhancing molecular discrimination and providing additional structural information. These strategies have expanded the detection and annotation of neuroactive amines, carbonyl compounds, glycans, carboxylic acid metabolites and lipid double-bond isomers, while also extending MALDI-MS analysis to other specific functional groups, natural products and drug-related molecules. Overall, chemical derivatization is an important approach for improving the sensitivity, selectivity, structural annotation and analytical coverage of MALDI-MS-based small biomolecule analysis. Future developments should further address reaction selectivity, spatial fidelity, quantitative reliability and confident identification of derivatization products.

Indexed as

biomoleculeschemical derivatizationMALDI-MSspatial metabolomics

Identifiers

PMID42783779
PMCPMC13609024

What OpenQuestion 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 OpenQuestion graph.