title: Application of predictive modelling techniques in industry: from food design up to risk assessment.
abstract: In this communication, examples of applications of predictive microbiology in industrial contexts (i.e. Nestlé and Unilever) are presented which cover a range of applications in food safety from formulation and process design to consumer safety risk assessment. A tailor-made, private expert system, developed to support safe product/process design assessment is introduced as an example of how predictive models can be deployed for use by non-experts. Its use in conjunction with other tools and software available in the public domain is discussed. Specific applications of predictive microbiology techniques are presented relating to investigations of either growth or limits to growth with respect to product formulation or process conditions. An example of a probabilistic exposure assessment model for chilled food application is provided and its potential added value as a food safety management tool in an industrial context is weighed against its disadvantages. The role of predictive microbiology in the suite of tools available to food industry and some of its advantages and constraints are discussed.
authors.affiliation: Safety and Environmental Assurance Centre, Unilever, Colworth Park, Sharnbrook, Bedford MK44 1LQ, UK. Jeanne-Marie.Membre@Unilever.com
authors.forename: Jeanne-Marie
authors.initials: JM
authors.lastname: Membré
authors.forename: Ronald J W
authors.initials: RJ
authors.lastname: Lambert
mesh_terms: D001419:Bacteria / Q000254:growth & development*; D003257:Consumer Product Safety; D005511:Food Handling / Q000379:methods / Q000592:standards; D019649:Food Industry / Q000592:standards*; D005516:Food Microbiology; D006801:Humans; D007700:Kinetics; D008954:Models, Biological; D011237:Predictive Value of Tests; D018570:Risk Assessment