Evidence map›Paper›PMID 42318113›Full record

ArticleFrontiers in plant science2026

DESI-MSI applications for direct (spatial) biomolecular analysis of South African natural medicinal products.

Kabelo N Mohlamonyane, Efficient N Ncube, Marco Giampà, Weiyang Chen, Dylan Zeiss, Peter D Verhaert, Bart Ghesquière, Alvaro M Viljoen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 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

8 authors.

Kabelo N MohlamonyaneDepartment of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria, South Africa.
Efficient N NcubeDepartment of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria, South Africa.
Marco GiampàLaboratory for Applied Mass Spectrometry (LAMaS), Department Cellular and Molecular Medicine, University of Leuven, Leuven, Belgium.
Weiyang ChenDepartment of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria, South Africa.
Dylan ZeissWaters Division, Microsep (Pty) Ltd., Sandton, South Africa.
Peter D VerhaertProteoFormiX, Vorselaar, Belgium.
Bart GhesquièreLaboratory for Applied Mass Spectrometry (LAMaS), Department Cellular and Molecular Medicine, University of Leuven, Leuven, Belgium.
Alvaro M ViljoenDepartment of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In pharmacognosy, conventional analytical methods provide important chemical information on metabolite identities and relative quantities. However, Methods: DESI-MSI was used to putatively assign antimicrobial compounds from propolis Results: The antimicrobial compounds of South African propolis were putatively assigned as chrysin, pinocembrin, galangin, pinobanksin and its derivatives. The technique enabled the differentiation between Conclusion: This study demonstrates the feasibility of using DESI-MSI for

Indexed as

DESI-MSIin situ analysismedicinal plantsmetabolite profilingnatural productspharmacognosyquality controlspatial distribution

Identifiers

PMID42318113
PMCPMC13272345

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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.