A Monte Carlo procedure considering the variability in oyster handling from harvest to raw consumption
estimated reductions in the number of Vibrio vulnificus induced septicemia cases achieved by highpressure
processing (HPP). The calculations yielded pathogen load distributions in raw oysters from
harvest to consumption. In the warm season, 2–6 min treatments at 250 MPa and 1 C would lower
the predicted number of septicemia cases associated with raw oyster consumption from 4932 to less than
four per 100 million consumption events (95% confidence). This study highlighted that HPP conditions
should be selected according to the seasonal pathogen load and environment temperature. Finally, the
procedure emphasized that the variability in the V. vulnificus population at harvest, before and after
HPP treatments, reflecting in part the microbiological quantification methods used, significantly affected
the estimated number of septicemia cases. Therefore, improving microbiological quantification should
provide better predictions of the number of septicemia cases.
A Monte Carlo procedure considering the variability in oyster handling from harvest to raw consumptionestimated reductions in the number of Vibrio vulnificus induced septicemia cases achieved by highpressureprocessing (HPP). The calculations yielded pathogen load distributions in raw oysters fromharvest to consumption. In the warm season, 2–6 min treatments at 250 MPa and 1 C would lowerthe predicted number of septicemia cases associated with raw oyster consumption from 4932 to less thanfour per 100 million consumption events (95% confidence). This study highlighted that HPP conditionsshould be selected according to the seasonal pathogen load and environment temperature. Finally, theprocedure emphasized that the variability in the V. vulnificus population at harvest, before and afterHPP treatments, reflecting in part the microbiological quantification methods used, significantly affectedthe estimated number of septicemia cases. Therefore, improving microbiological quantification shouldprovide better predictions of the number of septicemia cases.
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