Evidence map›Paper›PMID 40014036›Full record

ArticleACS sensors2025

Probiotic Antimicrobial Evaluation Via Real-Time Profiling of Bacterial Cell Proliferation Using Stochastic Kinetics.

Seong-Geun Jeong, Youjin Lee, Hye-Seon Jeong, Seong Jun Park, Jinki Yeom, Chang-Hyung Choi, Byung-Gee Kim

Abstract read
In one paragraph

Article in ACS sensors, 2025. 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

7 authors.

Seong-Geun JeongBio-MAX Institute, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0003-1968-4468
Youjin LeeDepartment of Biomedical Sciences, College of Medicine, Seoul National University, Seoul 03080, Republic of Korea.
Hye-Seon JeongSchool of Chemical Engineering, Yeungnam University, Gyeongsan, Gyeongbuk 38541, Republic of Korea.
Seong Jun ParkNational CRI-Center for Chemical Dynamics in Living Cells, Chung-Ang University, Seoul 06974, Republic of Korea.
Jinki YeomDepartment of Biomedical Sciences, College of Medicine, Seoul National University, Seoul 03080, Republic of Korea.
Chang-Hyung ChoiSchool of Chemical Engineering, Yeungnam University, Gyeongsan, Gyeongbuk 38541, Republic of Korea.ORCID 0000-0002-7561-3720
Byung-Gee KimBio-MAX Institute, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0002-3776-1001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Probiotic metabolites are gaining attention as potential antibiotic candidates against antibiotic-resistant bacteria. The disk diffusion test, by measuring bacterial aggregate responses, faces challenges in accurately evaluating antimicrobial efficacy when these responses to different probiotic strains are indistinguishable at a macroscopic level. Here, this study presents an analytical method for accurately evaluating antimicrobial activity by analyzing bacterial cell proliferation suppression at a microscopic level. This assay can be used in a coculture system, designed to continuously expose pathogenic bacteria growing on the bottom surface of the culture plate to probiotic metabolites, selectively released from porous capsules positioned above. Bacterial proliferation is optically monitored in real-time and tracked via a computer vision algorithm. Specifically, bacterial proliferation is quantified as their doubling time, calculated using a proposed stochastic kinetic model. This method identifies the most potent antimicrobial strains by determining which probiotic candidates most effectively extend the bacterial doubling time. In comparative experiments using the same strains, this proposed method demonstrated clear distinctions in the antimicrobial efficacy of each strain, unlike the disk diffusion test. Therefore, this approach provides a reliable solution for identifying superior probiotic strains, with potential for widespread use in discovering new antimicrobial agents.

Indexed as

Anti-Bacterial AgentsProbioticsCell ProliferationKineticsMicrobial Sensitivity TestsStochastic ProcessesAnti-Bacterial Agentsantimicrobial testscomputer visionmicrocapsuleprobioticsstochastic kinetics

Identifiers

PMID40014036
PMCPMC11959587

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.