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Rapid Antimicrobial Susceptibility Testing by Stimulated Raman Scattering Imaging of Deuterium Incorporation in a Single Bacterium
Published on: February 14, 2022
On-Chip Raman Spectroscopy for Rapid Antimicrobial Susceptibility Testing from Blood Cultures
Richard Grohs1,2,3, Franziska Hornung4, Marie-Luise Enghardt1,2,3
1Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Research Alliance INFECTIONS , Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745Jena, Germany.
The novel RamanBioAssay (RBA) platform offers rapid antimicrobial susceptibility testing (AST) and bacterial identification in under 4 hours. This innovative diagnostic tool significantly speeds up results compared to traditional methods, aiding faster treatment decisions for bloodstream infections.
Area of Science:
- Microbiology and Infectious Diseases
- Spectroscopy and Analytical Chemistry
- Biotechnology and Diagnostics
Background:
- Bloodstream infections cause significant morbidity and mortality.
- Current antimicrobial susceptibility testing (AST) methods are often slow or lack phenotypic relevance.
- Rapid diagnostics are crucial for timely and effective antimicrobial therapy.
Purpose of the Study:
- To introduce the RamanBioAssay (RBA) platform for rapid phenotypic AST and bacterial identification (ID).
- To evaluate the RBA platform's performance and diagnostic turnaround time.
- To demonstrate the potential of label-free Raman spectroscopy in clinical diagnostics.
Main Methods:
- Integration of dielectrophoretic on-chip bacterial enrichment with label-free Raman spectroscopy.
- Testing on quality control strains and artificial blood cultures for AST concordance.
- Proof-of-concept evaluation using patient blood cultures for AST and ID accuracy.
Main Results:
- RBA platform delivered AST results within 3.5 hours, significantly faster than conventional methods.
- High concordance rates observed with conventional AST for quality control strains (up to 100%) and patient samples (up to 91.7%).
- Accurate family-level bacterial classification (e.g., E. coli, S. aureus) achieved with 97.2% accuracy.
Conclusions:
- The RBA platform is a promising tool for rapid phenotypic AST and bacterial ID.
- It offers comprehensive, clinically actionable results significantly faster than current diagnostics.
- This technology has the potential to improve patient outcomes by enabling quicker therapeutic adjustments.
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