title: Methods to determine the growth domain in a multidimensional environmental space.
abstract: Data from a database on microbial responses to the food environment (ComBase, see www.combase.cc) were used to study the boundary of growth several pathogens (Aeromonas hydrophila, Escherichia coli, Listeria monocytogenes, Yersinia enterocolitica). Two methods were used to evaluate the growth/no growth interface. The first one is an application of the Minimum Convex Polyhedron (MCP) introduced by Baranyi et al. [Baranyi, J., Ross, T., McMeekin, T., Roberts, T.A., 1996. The effect of parameterisation on the performance of empirical models used in Predictive Microbiology. Food Microbiol. 13, 83-91.]. The second method applies logistic regression to define the boundary of growth. The combination of these two different techniques can be a useful tool to handle the problem of extrapolation of predictive models at the growth limits.
authors.affiliation: Institute of Food Research, Norwich Research Park, Norwich NR4 7UA, UK. yvan.lemarc@bbsrc.ac.uk
authors.forename: Yvan
authors.initials: Y
authors.lastname: Le Marc
authors.forename: Carmen
authors.initials: C
authors.lastname: Pin
authors.forename: József
authors.initials: J
authors.lastname: Baranyi
mesh_terms: D016980:Aeromonas hydrophila / Q000254:growth & development*; D004926:Escherichia coli / Q000254:growth & development*; D006863:Hydrogen-Ion Concentration; D008089:Listeria monocytogenes / Q000254:growth & development*; D016015:Logistic Models; D008433:Mathematics; D008954:Models, Biological; D013696:Temperature; D015008:Yersinia enterocolitica / Q000254:growth & development*