Objective
Development of Fourier-Transform Infrared (FT-IR) and Raman spectroscopic techniques for rapid identification and antibiotic/antifungal-agent susceptibility testing of clinically relevant micro-organisms, enabling full clinical microbiological analysis of patient material within 12-24 hours.
FT-IR and Raman methods will be developed that will enable the recording of spectra of micro-organism microcolonies of the order ~ 103 cells. Methods of spectral analysis will be developed by which classification of micro-organisms on the basis of these spectra will be possible. This will considerably speed up routine clinical microbiological analysis of patient material when compared to present day practice. Rapid analysis is of utmost importance in life threatening conditions such as sepsis, and for the containment of contaminations with drug resistant micro-organisms, such as multidrug resistant staphylococcus aureus. Characterisation of fastidious micro organisms will also greatly benefit from techniques that require only a small number of cells.
The research activities are grouped in 4 tasks:
1. Standardisation of techniques and development of dedicated instrumentation
2. Basic research addressing the effect of culturing condition, colony heterogeneity, and the presence of drug-resistance mechanisms on FT-IR and Raman spectra of micro-organisms
3. Methodology development: development of vibrational spectroscopic techniques for micro-organism identification and antibiotic/antifungal-agent susceptibility testing (MIDAS). This includes the establishment of databases of Raman and FT-IR spectra of clinically relevant micro-organisms, development of dedicated software for spectral analysis, development of drug-susceptibility tests, minimisation of the number of cells needed for characterisation of micro-organisms, pre-clinical tests)
4. Clinical tests of vibrational spectroscopic MIDAS-techniques. Comparison with routine methods for general clinical microbiology, in use at present (sensitivity, selectivity, speed).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences databases
- medical and health sciences clinical medicine clinical microbiology
- medical and health sciences basic medicine pharmacology and pharmacy drug resistance multidrug resistance
- natural sciences biological sciences microbiology
- natural sciences physical sciences optics spectroscopy
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Coordinator
3015 GE Rotterdam
Netherlands
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