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.