An important factor which has not been included in many models in the field
of predictive microbiology is the influence of a background of microflora
in a food product. It is however generally known that the growth of a micro
organism as a pure culture can be substantially different from its growth i
n a mixed culture, due to microbial interactions. Because of the importance
of these interactions and the lack of suitable modeling techniques in the
field of predictive microbiology to describe them, the potential of models
in other research fields-namely ecology-to deal with interactions is explor
ed in previous work of the authors. However, a model structure for microbia
l growth in food products cannot simply be copied from those elaborated in
ecology. The structure of a predictive growth model is indeed typical, prim
arily due to the explicit modeling of a lag phase. The current paper propos
es a prototype model structure for growth of mixed microbial populations in
homogeneous food products. The model is able to describe a lag phase and r
educes to a classical predictive growth model in the special case of single
-species growth. (C) 1999 Academic Press.