Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김우성 | * |
| dc.date.accessioned | 2026-04-13T16:30:06Z | - |
| dc.date.available | 2026-04-13T16:30:06Z | - |
| dc.date.issued | 2026 | * |
| dc.identifier.issn | 0925-4005 | * |
| dc.identifier.other | OAK-39313 | * |
| dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/275170 | - |
| dc.description.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. | * |
| dc.language | English | * |
| dc.publisher | Elsevier B.V. | * |
| dc.subject | Antimicrobial resistance (AMR) | * |
| dc.subject | Antimicrobial susceptibility testing (AST) | * |
| dc.subject | Droplet microfluidics | * |
| dc.subject | Phenotypic heterogeneity | * |
| dc.subject | Reactive oxygen species (ROS) | * |
| dc.subject | Single-cell analysis | * |
| dc.title | A ROS-based droplet microfluidic platform for rapid antimicrobial susceptibility testing and single-cell heterogeneity analysis | * |
| dc.type | Article | * |
| dc.relation.volume | 458 | * |
| dc.relation.index | SCIE | * |
| dc.relation.index | SCOPUS | * |
| dc.relation.journaltitle | Sensors and Actuators B: Chemical | * |
| dc.identifier.doi | 10.1016/j.snb.2026.139747 | * |
| dc.identifier.scopusid | 2-s2.0-105032175390 | * |
| dc.author.google | Kim J.S. | * |
| dc.author.google | Hwang B.-H. | * |
| dc.author.google | Kim J. | * |
| dc.author.google | Heo H.Y. | * |
| dc.author.google | Song H. | * |
| dc.author.google | Hazra A. | * |
| dc.author.google | Kim J.-S. | * |
| dc.author.google | Kim W. | * |
| dc.author.google | Lee C.-S. | * |
| dc.contributor.scopusid | 김우성(57201881427) | * |
| dc.date.modifydate | 20261022151844 | * |