Objectives


O1. The SERS detection and identification of pathogenic bacteria at unicellular level.

Expected results:
✔ Optimized protocol of pathogenic microorganisms' SERS detection and identification at single-cell level.
✔ Spectroscopic data base containing the specific molecular information of most common pathogenic microorganisms.

O2. Discrimination between bacteria at strain level using the SERS-PCA analysis.

Expected results:
✔ Development of a statistical model able to identify and discriminate pathogenic microorganisms' spectral fingerprint at strain level.

O3. Detection and identification of pathogenic bacteria from complex biological samples.

Expected results:
✔ Optimized protocol of pathogenic microorganisms' SERS detection and identification at single-cell level in biological media.
✔ Validation of the proposed SERS-based methodology in real life conditions (media similar with biological fluids, the presence of different pathogens).

O4. The in situ SERS monitoring of the antibiotics effects on the pathogenic bacteria for antibiogram achievement.

Expected results:
✔ Rapid assessment of an antibiogram providing the efficient treatment for the identified pathogen.