The integration of this piece of work in the
Sym’Previus software is now in process (Leporq et
al., 2004). Thus, results obtained in five French
laboratories to obtain model parameters and generate
growth kinetics on food will be extended to the
information collected on other bacterial species and
strains, and other foodstuffs. Indeed, data provided
from literature or industrial partners, stored in the
Sym’previus database, could be used (i) to improve
the variability estimation by adding new strains, (ii) to
modify the predicted model if it is necessary (for
instance to introduce lag time estimation) and (iii) to
extend the application domain by working on new
food and new microbial species.
The integration of this piece of work in theSym’Previus software is now in process (Leporq etal., 2004). Thus, results obtained in five Frenchlaboratories to obtain model parameters and generategrowth kinetics on food will be extended to theinformation collected on other bacterial species andstrains, and other foodstuffs. Indeed, data providedfrom literature or industrial partners, stored in theSym’previus database, could be used (i) to improvethe variability estimation by adding new strains, (ii) tomodify the predicted model if it is necessary (forinstance to introduce lag time estimation) and (iii) toextend the application domain by working on newfood and new microbial species.
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