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DOI 10.1039/d6ay01416j

Медицинская библиотека · Analytical methods : advancing methods and applications · 2026

Bacterial catalase-responsive colorimetric array driven by nanozyme cascade for pathogen identification and phenotypic susceptibility testing.

Yu Yi, Yang Xueni, Song Yinghui, Yang Baojun, Liu Jifeng, Gao Xia

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The rapid discrimination of bacterial species and assessment of their antibiotic susceptibility are critical for combating antimicrobial resistance. Herein, we report a metabolism-driven colorimetric sensor array based on bacterial catalase-responsive hydrogen peroxide (H2O2) consumption coupled with an Au@PB (gold-coated Prussian blue) nanozyme cascade, which relies on a single 3,3',5,5'-tetramethylbenzidine (TMB) probe. Bacteria with different intrinsic catalase activities consume varying amounts of H2O2, leaving distinct residuals that drive Au@PB-catalyzed TMB oxidation to produce three characteristic absorption peaks at 370, 652, and 880 nm. These three-wavelength signals serve as unique phenotypic fingerprints. Combined with linear discriminant analysis (LDA), the single-probe array successfully discriminates multiple bacterial species and mixtures, exhibiting a linear quantitative response across 104-107 CFU mL-1. Furthermore, by monitoring real-time changes in catalase activity upon antibiotic exposure, the platform enables phenotypic antimicrobial susceptibility testing (AST) with a rapid assay time of ∼75 min for standardized bacterial suspensions, expediting the evaluation process compared to culture-based methods. Validated in water samples and clinical isolates, the AST results showed good agreement with the clinical laboratory standards institute (CLSI) gold standard. Therefore, this nanozyme-driven, single-probe sensor array provides a sensitive, and cost-effective tool for integrated pathogen identification and rapid AST.

Для цитирования: Yu Yi, Yang Xueni, Song Yinghui, Yang Baojun, Liu Jifeng, Gao Xia. Bacterial catalase-responsive colorimetric array driven by nanozyme cascade for pathogen identification and phenotypic susceptibility testing.. Analytical methods : advancing methods and applications. 2026. DOI: 10.1039/d6ay01416j.
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