Article ; Online: Rapid, label-free pathogen identification system for multidrug-resistant bacterial wound infection detection on military members in the battlefield.
2022 Volume 17, Issue 5, Page(s) e0267945
Abstract: US military service members experiencing combat-related wounds have higher risk of infection by multidrug-resistant bacteria. The gold standard culture-based antimicrobial susceptibility testing (AST) is not feasible in the battlefield environment. Thus, ...
Abstract | US military service members experiencing combat-related wounds have higher risk of infection by multidrug-resistant bacteria. The gold standard culture-based antimicrobial susceptibility testing (AST) is not feasible in the battlefield environment. Thus, a rapid deployable system for bacteria identification and AST directly from wound sample is urgently needed. We report the potential of a Rapid, Label-free Pathogen Identification (RAPID) diagnostic system based on ATR-FTIR method to detect and distinguish multi-drug resistant strains for six different species in the ESKAPEE group. Our RAPID system combines sample processing on-broad to isolate and enrich bacteria cells from wound sample, ATR-FTIR measurement to detect antimicrobial-induced bacterial cell spectral changes, and machine learning model for automated, objective, and quantitative spectral analysis and unknown sample classification. Based on experimental results, our RAPID system is a promising technology for label-free, sensitive (104 cfu/mL from mixture), species-specific (> 95% accuracy), rapid (< 10 min for identification, ~ 4 hours for AST) bacteria detection directly from wound samples. |
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MeSH term(s) | Anti-Bacterial Agents/pharmacology ; Anti-Infective Agents/pharmacology ; Drug Resistance, Multiple, Bacterial ; Humans ; Microbial Sensitivity Tests ; Military Personnel ; Wound Infection/diagnosis ; Wound Infection/drug therapy |
Chemical Substances | Anti-Bacterial Agents ; Anti-Infective Agents |
Language | English |
Publishing date | 2022-05-05 |
Publishing country | United States |
Document type | Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. |
ZDB-ID | 2267670-3 |
ISSN | 1932-6203 ; 1932-6203 |
ISSN (online) | 1932-6203 |
ISSN | 1932-6203 |
DOI | 10.1371/journal.pone.0267945 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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