Bedside Detection of Carbapenemase-Producing Pathogens with Plasmonic Nanosensors
| Autor: | Antonio Oliver, Giulia Santopolo, Estrella Rojo-Molinero, Roberto de la Rica, Antonio Clemente, Marcio Borges |
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| Rok vydání: | 2021 |
| Předmět: |
Computer science
medicine.drug_class Antibiotics Metals and Alloys Antimicrobial susceptibility Context (language use) Carbapenemase producing Condensed Matter Physics Antimicrobial Surfaces Coatings and Films Electronic Optical and Magnetic Materials Microbiology Nanosensor Rapid assay Materials Chemistry medicine Sputum Electrical and Electronic Engineering medicine.symptom Instrumentation |
| Zdroj: | Sensors and Actuators B: Chemical. 329:129059 |
| ISSN: | 0925-4005 |
| DOI: | 10.1016/j.snb.2020.129059 |
| Popis: | Providing the right antibiotic treatment as soon as possible is crucial to improve sepsis outcomes. In this context, infections by bacteria resistant to β-lactams can be deadly. Current approaches for identifying these pathogens are longsome and require complex infrastructure. Here we introduce a diagnostic kit for detecting carbapenemase-producing pathogens at the bedside. It generates colored tests that are easily distinguished by eye or by analyzing a smartphone photograph. The color is generated by gold nanoparticles, which have been designed to detect β-lactamase activity robustly and with ultra-high sensitivity. Neither microbial culture nor specialized equipment are required. The kit can detect infections by carbapenemase-producing bacteria directly from urine samples within 2.5 h, even when these contain an excess of interfering bacteria. It can also detect them in sputum samples within 3 h. The rapid assay time coupled with the ability to detect hazardous infections enables the personalization of antimicrobial treatments much faster than a full antibiotic susceptibility test, which often takes several days to be accomplished. This kit can also be implemented in resource-constrained scenarios where other options for antimicrobial susceptibility testing may not be available. |
| Databáze: | OpenAIRE |
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