Quantitative microbial risk assessment (QMRA) models typically evaluate the dynamics of bacterial1 populations in food along a food-production pathway to determine contamination at
consumption, which is integrated with a dose-response curve to estimate risk to the consumer. Usually, the production pathway is described by using a number of discrete steps along the “farm-to- fork” continuum, and these steps may be grouped into various distinct modules (Cassin et al., 1998). At each process step, bacteria may be introduced, can increase or decrease, or may be completely eliminated from certain food units. These steps can be modeled as a set of well-characterized basic processes that may impact bacterial prevalence and/or levels. Various different basic processes have been defined in the literature including, for example, growth, inactivation, food partitioning, mixing, removal, and cross-
Quantitative microbial risk assessment (QMRA) models typically evaluate the dynamics of bacterial1 populations in food along a food-production pathway to determine contamination atconsumption, which is integrated with a dose-response curve to estimate risk to the consumer. Usually, the production pathway is described by using a number of discrete steps along the “farm-to- fork” continuum, and these steps may be grouped into various distinct modules (Cassin et al., 1998). At each process step, bacteria may be introduced, can increase or decrease, or may be completely eliminated from certain food units. These steps can be modeled as a set of well-characterized basic processes that may impact bacterial prevalence and/or levels. Various different basic processes have been defined in the literature including, for example, growth, inactivation, food partitioning, mixing, removal, and cross-
การแปล กรุณารอสักครู่..
