ArticleACS sensors2025
Probiotic Antimicrobial Evaluation Via Real-Time Profiling of Bacterial Cell Proliferation Using Stochastic Kinetics.
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.
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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.
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Authors and funding
7 authors.
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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.
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