Metabolism-Driven Colorimetric "Read-to-Answer" Sensor Array for Bacterial Discrimination and Antimicrobial Susceptibility Testing.

ABSTRACT: Due to the complexity of clinical samples, rapid and reliable bacterial identification and antimicrobial susceptibility testing (AST) remain challenging. To address these challenges, we developed a colorimetric sensing platform for bacterial identification and AST in clinical samples based on bacterial metabolism-driven synthesis of gold nanoparticles (AuNPs) via hydrogen peroxide (H₂O₂) mediation. In this strategy, bacteria metabolic differences among bacterial species were converted into distinct colorimetric signals. Integrated with linear discriminant analysis (LDA), our developed sensing system enables automated and high-resolution profiling of bacterial species and strains. We achieved 100% classification accuracy for seven bacterial species in serum and urine a

SUBMITTER: Lin X 

PROVIDER: S-EPMC12860409 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature