1. Modelling pH evolution and lactic acid production in the growth medium of a lactic acid bacterium: Application to set a biological TTI
- Author
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M. Pichaud, Dominique Thuault, R. Vaillant, C. Bonaiti, Louis Coroller, Mariem Ellouze, Olivier Couvert, Département R&D, CRYOLOG S.A, Unité MASQ, Ecole Nationale Vétérinaire de Maisons Alfort, CRYOLOG S.A., Laboratoire Universitaire de Biodiversité et Ecologie Microbienne (LUBEM), Université de Brest (UBO), Unité IDEA, and ADRIA
- Subjects
Time Factors ,Water activity ,Colony Count, Microbial ,Food Contamination ,Biology ,Bacterial growth ,Microbiology ,Models, Biological ,Modelling ,03 medical and health sciences ,0404 agricultural biotechnology ,Food Preservation ,Lactic Acid ,Cold chain ,Biological TTI ,2. Zero hunger ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,0303 health sciences ,Predictive microbiology ,030306 microbiology ,business.industry ,Design of experiments ,Continuous monitoring ,Response time ,Water ,04 agricultural and veterinary sciences ,General Medicine ,Hydrogen-Ion Concentration ,040401 food science ,Microbial growth ,Biotechnology ,Culture Media ,Kinetics ,Lactobacillus ,[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology ,Scientific method ,Food Microbiology ,Biochemical engineering ,Food quality ,business ,[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition ,Food Science - Abstract
5th International Conference on Predictive Modelling in Foods; International audience; Time temperature integrators or indicators (TTIs) are effective tools making the continuous monitoring of the time temperature history of chilled products possible throughout the cold chain. Their correct setting is of critical importance to ensure food quality. The objective of this study was to develop a model to facilitate accurate settings of the CRYOLOG biological TTI, TRACEO®. Experimental designs were used to investigate and model the effects of the temperature, the TTI inoculum size, pH, and water activity on its response time. The modelling process went through several steps addressing growth, acidification and inhibition phenomena in dynamic conditions. The model showed satisfactory results and validations in industrial conditions gave clear evidence that such a model is a valuable tool, not only to predict accurate response times of TRACEO®, but also to propose precise settings to manufacture the appropriate TTI to trace a particular food according to a given time temperature scenario.
- Published
- 2008
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