Predictive modelling of the growth and survival of Listeria in fishery products

作者: Tom Ross , Paw Dalgaard , Suwunna Tienungoon , None

DOI: 10.1016/S0168-1605(00)00340-8

关键词:

摘要: Predictive microbiology provides a powerful tool to aid the exposure assessment phase of 'quantitative microbial risk assessment'. Using predictive models changes in microbial populations on foods between the point of production/harvest and the point of eating can be estimated from changes in product parameters (temperature, storage atmosphere, pH, salt/water activity, etc.). Thus, it is possible to infer exposure to Listeria monocytogenes at the time of consumption from the initial microbiological condition of the food and its history from …

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