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Computational Microbiology at the Institute of Food Research

Dr Aline Métris Dr Aline Métris

 

  • Originally a biotechnologist, now working in the field of predictive microbiology. Joined the Institute of Food Research in 2000.
  • Graduated in Chemical Engineering, her PhD was on the modelling of biofilters, biological reactors to filter polluted air.
  • Since joining the Institute, has been participating in several projects funded by UK government and EU for the development and validation of mathematical models.
  • Her current activities concern the development of modelling at the single cell level and linking Predictive Microbiology to risk assessments.

Main interests:

  • Databases on microbial responses to food environments.
  •  Modelling the variability of the growth kinetics of food pathogens within a same population.
  • Integrate databases information and modelling techniques with low number of cells into risks assessments.
  • Use the bio-chemical constraints of the metabolic network of the bacteria to predict their growth.

Selected publications:

  • Métris, A., George S. M., Mackey B.M., Baranyi J., (2008). Modelling the variability of the lag times of single cell of Listeria innocua populations in response to sub-lethal and lethal heat treatments. Appl. Environ. Microbiol. 74: 6949–6955.
  • George S. M., Métris A., Stringer S., (2008). Influence of physiological state of single cells of Listeria innocua in organic acids.  Int. J. Food Microbiol. 124: 204-210.
  • Métris A., George S.M., Baranyi J., (2006). Use of optical density detection times to assess the effect of acetic acid on single cell kinetics. Appl. Environ. Microbiol. 72(10): 6674-6679.
  • Métris A., Le Marc Y., Elfwing A., Ballagi A., Baranyi J., (2005). Modelling the variability of lag times and first generation times of single cells of E. coli. Int. J. Food Microbiol. 100: 13-19.
  • Métris A., George S.M., Peck M.W., Baranyi J., (2003). Distribution of turbidity detection times produced by single cell-generated bacterial populations. J. Microbiol. Methods. 55: 821-827.