Bacterial Metabolism-Driven Dual-Enzyme Cascade Colorimetric Sensor for Antimicrobial Susceptibility Testing with Readily Interpretable Signals

The global antimicrobial resistance (AMR) crisis urgently necessitates rapid phenotypic antimicrobial susceptibility testing (AST) to reduce empirical antibiotic prescribing and enable targeted antimicrobial therapy. Conventional phenotypic AST methods require an incubation period of 18-24 h, delaying evidence-based decisions and forcing empirical treatment, which compromises efficacy and fuels AMR emergence. Herein, we reported a simple, practical phenotypic AST assay that transduced bacterial glucose metabolic activity into a quantitative colorimetric signal via a glucose oxidase (GOD)-horseradish peroxidase (HRP) dual-enzyme cascade colorimetric sensor (DECCS) system. The assay enabled intuitive visual readout of color development by the naked eye, with quantitative signal validation via two complementary approaches: smartphone-based RGB (red-green-blue) analysis and microplate reader absorbance measurement, thus balancing operational accessibility with analytical precision. Rigorous performance validation was conducted using 155 clinical isolates and 5 reference strains, covering major clinically relevant Gram-positive and Gram-negative pathogens (<i>Staphylococcus aureus</i>, <i><i>Escherichia coli</i></i>, <i><i>Pseudomonas aeruginosa</i></i>, <i><i>Klebsiella pneumoniae</i></i>, and <i><i>Acinetobacter baumannii</i></i>). Determined minimum inhibitory concentration (MIC) values exhibited high concordance with the Clinical and Laboratory Standards Institute (CLSI)-recommended broth microdilution method (gold standard), achieving >96% essential agreement and >98% categorical agreement. This AST platform featured a ∼5 h workflow, simple operation, low cost, and multimodal readout capabilities, rendering it highly suitable for resource-limited clinical settings. By enabling same-day evidence-based antimicrobial prescribing, this method provided a practical alternative tool to strengthen antimicrobial stewardship efforts and improve the clinical outcomes of bacterial infection treatment.

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Publication Details

Journal
Analytical Chemistry
Published
2026-03-23
DOI
https://doi.org/10.1021/acs.analchem.5c07762
Primary Topic
Biosensors and Analytical Detection
Type
article
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article

Bacterial Metabolism-Driven Dual-Enzyme Cascade Colorimetric Sensor for Antimicrobial Susceptibility Testing with Readily Interpretable Signals

Bo Weng, Yuliang Li, Qian Wang, Xin Zhang
Analytical Chemistry
Biosensors and Analytical Detection
article

Bacterial Metabolism-Driven Dual-Enzyme Cascade Colorimetric Sensor for Antimicrobial Susceptibility Testing with Readily Interpretable Signals

Bo Weng, Yuliang Li, Qian Wang, Xin Zhang
article en

Abstract

The global antimicrobial resistance (AMR) crisis urgently necessitates rapid phenotypic antimicrobial susceptibility testing (AST) to reduce empirical antibiotic prescribing and enable targeted antimicrobial therapy. Conventional phenotypic AST methods require an incubation period of 18-24 h, delaying evidence-based decisions and forcing empirical treatment, which compromises efficacy and fuels AMR emergence. Herein, we reported a simple, practical phenotypic AST assay that transduced bacterial glucose metabolic activity into a quantitative colorimetric signal via a glucose oxidase (GOD)-horseradish peroxidase (HRP) dual-enzyme cascade colorimetric sensor (DECCS) system. The assay enabled intuitive visual readout of color development by the naked eye, with quantitative signal validation via two complementary approaches: smartphone-based RGB (red-green-blue) analysis and microplate reader absorbance measurement, thus balancing operational accessibility with analytical precision. Rigorous performance validation was conducted using 155 clinical isolates and 5 reference strains, covering major clinically relevant Gram-positive and Gram-negative pathogens (<i>Staphylococcus aureus</i>, <i><i>Escherichia coli</i></i>, <i><i>Pseudomonas aeruginosa</i></i>, <i><i>Klebsiella pneumoniae</i></i>, and <i><i>Acinetobacter baumannii</i></i>). Determined minimum inhibitory concentration (MIC) values exhibited high concordance with the Clinical and Laboratory Standards Institute (CLSI)-recommended broth microdilution method (gold standard), achieving >96% essential agreement and >98% categorical agreement. This AST platform featured a ∼5 h workflow, simple operation, low cost, and multimodal readout capabilities, rendering it highly suitable for resource-limited clinical settings. By enabling same-day evidence-based antimicrobial prescribing, this method provided a practical alternative tool to strengthen antimicrobial stewardship efforts and improve the clinical outcomes of bacterial infection treatment.

Analytical Chemistry
Southwest General Health Center (US), Southwest University (CN), Army Medical University (CN), Lumtec (Taiwan) (TW), PLA Army Service Academy (CN)
Openalex Percentile: Top 13%
Biosensors and Analytical Detection
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