Exposure assessment models often serve as tools to monitor
or estimate the changes of foodborne pathogens moving through
the food supply chain. Likewise, exposure assessment facilitates
the determination of the critical parameters or stages in the process
that contribute to contamination or growth of foodborne
pathogens (Bahk et al., 2007). However, the scope of an exposure
assessment model is often limited to the availability of the data
to be fitted into the model. The presented model was developed
to mimic the realistic condition as close as possible, in which the
probabilistic distributions were conferred to quantify the uncertainties.
The results of the simulation were summarized in Table 3;
from initial contamination to cumulated concentration (holding in
retail), and final concentration (holding at home) before consumption.
An average increased of 0.49–0.92 logs of cells were anticipated
between stages, akin to approximately 1.4 logs (25-folds) increased
from initial to before consumption. The predictive model
revealed a potent increased of pathogenic V. parahaemolyticus as
a consequence of bacterial growth. This commensurate to an increase
of consumption dose, which inevitably a major concern to
consumers.