Evidence map›Paper›PMID 40306620›Full record

ArticleAnalytical chemistry2025

A Live Bacterial Screening Assay for Membrane-Active Antimicrobial Compounds Using Imaging Fluorescence Correlation Spectroscopy.

Shiwen Zhu, Yu Wang, Shi Min Sherilyn Chong, Thorsten Wohland

Abstract read
In one paragraph

Article in Analytical chemistry, 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

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

1 citing paper in PubMed.

  1. Article
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.

Shiwen ZhuCentre for BioImaging Sciences, National University of Singapore, Singapore 117557, Singapore.ORCID 0009-0000-2566-7715
Yu WangBeauty Revealed, Procter & Gamble International Operations SA Singapore Branch, Singapore 138547, Singapore.ORCID 0000-0003-0506-2932
Shi Min Sherilyn ChongBeauty Revealed, Procter & Gamble International Operations SA Singapore Branch, Singapore 138547, Singapore.
Thorsten WohlandCentre for BioImaging Sciences, National University of Singapore, Singapore 117557, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing need in the personal hygiene industry to develop a new generation of effective antimicrobial actives, to be used as functional antibacterial ingredients and preservatives. Antimicrobials that attack bacterial membranes are an attractive target due to the relatively conserved structure compositions of the bacterial membrane, which bacteria cannot easily change without influences on the function of membrane-embedded proteins. However, current screening is slow and there is a demand for rapid screening methodologies to overcome the time-consuming nature of existing screening tools. Imaging total internal reflection-fluorescence correlation spectroscopy (ITIR-FCS) is a powerful technique that can measure membrane dynamics and identify changes with high accuracy and precision. We therefore combine ITIR-FCS with a segmentation algorithm to automatically identify bacterial cells to screen the effect of antimicrobial compounds on the dynamics of bacterial membranes as a function of antimicrobial concentration and incubation time. This allows to assess membrane activity within less than 30 min and generates dose-response curves within a span of 2 h. The technique detects antimicrobial activity at lower concentrations and an order of magnitude faster than commonly used susceptibility testing assays.

Indexed as

Anti-Bacterial AgentsCell MembraneEscherichia coliMicrobial Sensitivity TestsSpectrometry, FluorescenceAnti-Bacterial Agents

Identifiers

PMID40306620
PMCPMC12079629

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.