タービディティ測定によるリゾスタフィン定量とその不確実性評価の自動化

Conventional methods for measuring antibacterial activity, such as disk-diffusion assays, have limitations in quantitative reliability and require long incubation times making them unsuitable for high-throughput applications. To address these limitations, we automated a turbidity-based assay using readily available equipment and Bayesian data analysis, enabling accurate and precise antibacterial quantification from high-throughput experiments. In this study, we demonstrate the method applied to lysostaphin, a potent anti-staphylococcal agent and promising candidate for therapeutic applications. The turbidity assay monitors optical density changes upon lysostaphin-induced lysis of a susceptible Staphylococcus strain. We validated the use of autoclaved Staphylococcus carnosus TM300 as suitable indicator strain and optimized assay conditions for dynamic range of 0.63-10 mg L^-1 lysostaphin. Our integrated approach provides a robust, scalable, and reproducible platform for quantifying active lysostaphin, paving the way for its application in high-throughput screening and process development. We believe that the approach is adaptable to other turbidity-based assays, such as those assessing endolysin activity.