iDentification of pathogenic bacteria and determination of their viability status by Raman microSpectroscopy coupled to isoTopic labelling (DATASET)

The identification of bacterial species is an important issue in the context of health risk assessment, but is often insufficient.

but often insufficient. Indeed, the presence of VNC (Viable Non-Cultivable) bacteria poses a

problem because they cannot be detected by classical microbiological techniques, which are based on

techniques, which are based on the culture of the target pathogen. However, they remain potentially pathogenic under

conditions. This is particularly the case in the fisheries sector. These VNC forms appear following

stress such as salting, smoking and disinfection operations. It would therefore seem interesting to move towards

technologies such as Raman micro-spectroscopy, which can provide detailed information on the

detailed information on the overall chemical composition of a single bacterial cell, rapidly and without

culture. In addition, if coupled with isotope labelling, it could allow the measurement of metabolic activity.

metabolic activity. The objective of the thesis is therefore to explore the potential of isotope labelling coupled with

spectroscopy to determine whether this approach can effectively detect viable non-culturable cells (VNC).

cells (VNC). The work will use existing optical devices, and will lead to an

optimization of both the microbiological protocols and the optical system to acquire the spectra, all in a food matrix.

in a food matrix. Processing algorithms will be developed. The candidate must hold

an engineering degree and/or Master’s degree in microbiology, with a very good knowledge of

instrumentation for this field. An interest in biophysics, optics and signal processing is

desirable.

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