title: Predictions of growth for Listeria monocytogenes and Salmonella during fluctuating temperature.
abstract: We studied the predictive performance of a dynamic modelling approach, combined with predictions from the Food MicroModel software, applied to the growth of Listeria monocytogenes and Salmonella in pasteurised milk, chicken liver pâté and minced chicken, under constant as well as fluctuating temperatures. We found that, in general, the accuracy of a prediction under fluctuation temperature was similar to that under constant temperature. Generally, there was a good agreement between predictions and observations. However, the growth of Listeria monocytogenes in pasteurised milk was inhibited largely by the natural flora present.
authors.affiliation: Food Microbiology Group, Central Science Laboratory, Sand Hutton, York, UK. r.bovill@csl.gov.uk
authors.forename: R
authors.initials: R
authors.lastname: Bovill
authors.forename: J
authors.initials: J
authors.lastname: Bew
authors.forename: N
authors.initials: N
authors.lastname: Cook
authors.forename: M
authors.initials: M
authors.lastname: D'Agostino
authors.forename: N
authors.initials: N
authors.lastname: Wilkinson
authors.forename: J
authors.initials: J
authors.lastname: Baranyi
mesh_terms: D000818:Animals; D002645:Chickens; D005516:Food Microbiology; D008089:Listeria monocytogenes / Q000254:growth & development*; D008460:Meat / Q000382:microbiology; D008892:Milk / Q000382:microbiology; D012475:Salmonella / Q000254:growth & development*; D013696:Temperature