title: Validating predictive models of food spoilage organisms.
abstract: The accuracy and bias of a predictive model for the maximum specific growth rate of Pseudomonas spp. were studied by means of percentage discrepancy and bias indicators. These were calculated for observations obtained both in laboratory media and in food. When independent pseudomonad data generated in broth were compared with model predictions, the error was smaller than in the case of food. The extent to which the food structure and composition of the microflora contribute to the overall error of the model was quantified.
authors.affiliation: Institute of Food Research Reading Laboratory, Reading, UK.
authors.forename: C
authors.initials: C
authors.lastname: Pin
authors.forename: J P
authors.initials: JP
authors.lastname: Sutherland
authors.forename: J
authors.initials: J
authors.lastname: Baranyi
mesh_terms: D000818:Animals; D001419:Bacteria / Q000254:growth & development*; D002417:Cattle; D015169:Colony Count, Microbial; D005516:Food Microbiology; D008460:Meat / Q000382:microbiology; D008892:Milk / Q000382:microbiology; D008954:Models, Biological; D011549:Pseudomonas / Q000254:growth & development