Predicting growth rates and growth boundary of Listeria monocytogenes - An international validation study with focus on processed and ready-to-eat meat and seafood
| Autor: | Claus Borggaard, Tony Else, Françoise Leroi, Annemarie Gunvig, Jesper Blom-Hanssen, Ole Mejlholm, Paw Dalgaard, LA Mellefont, Diana Visser, Tom Ross |
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| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Specific growth
Validation study Meat Growth/no-growth predictions Food Contamination Ready to eat Psi (psi) value Bacterial growth Biology medicine.disease_cause Models Biological Microbiology Predictive models Correct prediction percentage 03 medical and health sciences chemistry.chemical_compound 0404 agricultural biotechnology Listeria monocytogenes medicine Animals Growth rate Food science 2. Zero hunger 0303 health sciences 030306 microbiology 04 agricultural and veterinary sciences General Medicine 040401 food science Lactic acid Kinetics Seafood chemistry Bias and accuracy factors Fast Foods Food Science Food contaminant |
| Zdroj: | International Journal Of Food Microbiology (0168-1605) (Elsevier Science Bv), 2010-07, Vol. 141, N. 3, P. 137-150 |
| Popis: | 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 other models, including the effect of five to seven environmental parameters, was considered acceptable with bias factors of 1.2 to 1.3. These models all included the effect of acetic acid/diacetate and lactic acid, one of the models also included the effect of CO2 and nitrite but none of these models included the effect of smoke components. Less complex models that did not include the effect of acetic acid/diacetate and lactic acid were unable to accurately predict growth responses of L. monocytogenes in the wide range of food evaluated in the present study. When complexity of L monocytogenes growth models matches the complexity of foods of interest. i.e. the number of hurdles to microbial growth, then predicted growth responses of the pathogen can be accurate. The successfully validated models are useful for assessment and management of L monocytogenes in processed and ready-to-eat (RTE) foods. (C) 2010 Elsevier B.V. All rights reserved. |
| Databáze: | OpenAIRE |
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