Evidence map›Paper›PMID 39238128›Full record

ArticlePhytochemical analysis : PCA2025

TLC-bioautography-guided identification and assessment of the antibacterial compounds from Feijoa sellowiana.

Wenliang Xu, Danxia Shi, Kuanmin Chen, David G Popovich

Abstract read
In one paragraph

Article in Phytochemical analysis : PCA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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

1 citing paper in PubMed.

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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

4 authors.

Wenliang XuSchool of Food and Advanced Technology, Massey University, Palmerston North, New Zealand.ORCID https://orcid.org/0000-0001-5470-1492
Danxia ShiSchool of Food and Advanced Technology, Massey University, Palmerston North, New Zealand.
Kuanmin ChenSchool of Food and Advanced Technology, Massey University, Palmerston North, New Zealand.
David G PopovichSchool of Science, Engineering & Technology, RMIT Vietnam, Ho Chi Minh, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA rapid procedure was developed for the targeted isolation and assessment of antibacterial compounds from plant-based materials. The effectiveness of this method was demonstrated using Feijoa sellowiana fruit peels.

objectiveThe objectives of this study are as follows: develop an efficient procedure utilizing direct thin-layer chromatography (TLC)-bioautography to facilitate the targeting, identification, and purification of antibacterial compounds from plant extracts and delineate a method based on TLC-bioautography to determine the minimum effective dose (MED), alongside a colorimetric broth microdilution aided by high-performance liquid chromatography (HPLC) for evaluating the isolated active compounds. METHODOLOGY: Active compounds were targeted using TLC-bioautography against Staphylococcus aureus, and the identification was achieved through liquid chromatography-mass spectrometry (LC-MS) combined with Compound Discoverer. Purification was carried out using a customized separation method. The structure was confirmed using nuclear magnetic resonance (NMR) spectroscopy. The MED, minimum inhibitory concentration (MIC), and minimum bactericidal concentration (MBC) were determined by two enhanced antibacterial assays.

resultsThe main antibacterial compound identified was flavone. A TLC-bioautography-based antibacterial assay and a colorimetric broth microdilution assisted by HPLC were described as the enhanced antibacterial assay protocols. The MED, MIC, and MBC of flavone against S. aureus were found to be 4.2-5.2 μg/cm

conclusionThis study proposed an enhanced bioassay-guided separation technique for the isolation of antibacterial compounds from plants, along with two improved methods for assessing the antibacterial efficacy of insoluble or colored compounds.

Indexed as

Anti-Bacterial AgentsChromatography, High Pressure LiquidChromatography, Thin LayerMagnetic Resonance SpectroscopyMass SpectrometryMicrobial Sensitivity TestsPlant ExtractsStaphylococcus aureusAnti-Bacterial AgentsPlant Extractsantibacterial activitycolorimetric broth dilutionCompound DiscovererFeijoa sellowianaNMRTLC‐bioautography

Identifiers

PMID39238128
PMCPMC11986892

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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.