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Predicting growth rates and growth boundary of Listeria monocytogenes - An international validation study with focus on processed and ready-to-eat meat and seafood ArchiMer
Mejlholm, Ole; Gunvig, Annemarie; Borggaard, Claus; Blom-hanssen, Jesper; Mellefont, Lyndal; Ross, Tom; Leroi, Francoise; Else, Tony; Visser, Diana; Dalgaard, Paw.
The performance of six predictive models for Listeria monocytogenes was evaluated using 1014 growth responses of the pathogen in meat, seafood, poultry and dairy products. The performance of the growth models was closely related to their complexity i.e. the number of environmental parameters they take into account. The most complex model included the effect of nine environmental parameters and it performed better than the other less complex models both for prediction of maximum specific growth rates (mu(max) values) and for the growth boundary of L. monocytogenes. For this model bias and accuracy factors for growth rate predictions were 1.0 and 1.5, respectively, and 89% of the growth/no-growth responses were correctly predicted. The performance of three...
Tipo: Text Palavras-chave: Predictive models; Bias and accuracy factors; Correct prediction percentage; Growth/no-growth predictions; Psi (psi) value.
Ano: 2010 URL: http://archimer.ifremer.fr/doc/00011/12218/11422.pdf
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