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A ROS-based droplet microfluidic platform for rapid antimicrobial susceptibility testing and single-cell heterogeneity analysis
- Title
- A ROS-based droplet microfluidic platform for rapid antimicrobial susceptibility testing and single-cell heterogeneity analysis
- Authors
- Kim J.S.; Hwang B.-H.; Kim J.; Heo H.Y.; Song H.; Hazra A.; Kim J.-S.; Kim W.; Lee C.-S.
- Ewha Authors
- 김우성
- SCOPUS Author ID
- 김우성

- Issue Date
- 2026
- Journal Title
- Sensors and Actuators B: Chemical
- ISSN
- 0925-4005
- Citation
- Sensors and Actuators B: Chemical vol. 458
- Keywords
- Antimicrobial resistance (AMR); Antimicrobial susceptibility testing (AST); Droplet microfluidics; Phenotypic heterogeneity; Reactive oxygen species (ROS); Single-cell analysis
- Publisher
- Elsevier B.V.
- Indexed
- SCIE; SCOPUS

- Document Type
- Article
- Abstract
- Rapid and accurate antimicrobial susceptibility testing (AST) is crucial for combating the global health threat of antimicrobial resistance (AMR), yet current clinical methods require multi-step incubations. Here, we present a reactive oxygen species (ROS)-based droplet microfluidic platform for single-cell AST. This microfluidic device enables the real-time detection of antibiotic-induced ROS generation, allowing for the determination of minimum inhibitory concentrations (MICs) within 90 min. In our microfluidic device, bacteria, ROS-sensitive dye, and antibiotics are co-encapsulated into droplets to create a controlled concentration gradient. By quantifying the fold change of normalized ROS, we determined MIC values that achieved high concordance (R² > 0.95) with the gold-standard broth microdilution (BMD) across eight antibiotics tested against Escherichia coli and Staphylococcus aureus . Application to 20 clinical isolates, including MRSA, multidrug-resistant S. aureus , colistin-resistant, and susceptible E. coli , also demonstrated accurate MIC calls within ±1 two-fold dilution of BMD results. This high concordance suggests the robustness of our platform and its potential for reliable use in real-world clinical settings. Furthermore, this approach revealed subpopulations with reduced ROS responses, uncovering phenotypic heterogeneity and potential persister-like cells that are often overlooked by bulk assays. Our approach not only reduces AST time but also provides a versatile platform for both high-throughput, clinically relevant framework for point-of-care diagnostics and advanced mechanistic insight of antibiotic action and resistance at the single-cell level. This capability promises to bridge the critical gap between the diagnosis and effective treatment, thereby paving the way for improved patient outcomes. © 2026 Elsevier B.V.
- DOI
- 10.1016/j.snb.2026.139747
- Appears in Collections:
- 약학대학 > 약학과 > Journal papers
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