Risk assessment of Clostridium perfringens in Cornish pasties in the UK
| Autor: | Marcel H. Zwietering, Leon G.M. Gorris, M.W. Reij, E. Gkogka |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Spore-forming pathogen Psychological intervention Context (language use) medicine.disease_cause 01 natural sciences Levensmiddelenmicrobiologie 0404 agricultural biotechnology Environmental health Epidemiology Food safety objective medicine Risk management VLAG Consumption (economics) business.industry 010401 analytical chemistry Toxico-infection 04 agricultural and veterinary sciences Clostridium perfringens Food safety Appropriate level of protection 040401 food science 0104 chemical sciences Food Microbiology Cooling business Risk assessment Food Science Biotechnology |
| Zdroj: | Food Control, 108 Food Control 108 (2020) |
| ISSN: | 0956-7135 |
| DOI: | 10.1016/j.foodcont.2019.106822 |
| Popis: | To assess the risk of C. perfringens toxico-infections related to the consumption of Cornish pasties in the United Kingdom, a stochastic risk assessment model was created. Exposure to the pathogen was modelled as the result of contamination of different ingredients (i.e. beef and pepper), application of different cooling scenarios at room temperature and considering pasties of a number of common sizes. The model predicted a mean of 213 cases of gastroenteritis per million people in the UK per year (95% CI: 128–317), which might explain a significant proportion of annual C. perfringens toxico-infections according to epidemiological data. Major factors influencing this estimate and possible targets for interventions were the time to consumption and the concentration of the pathogen in contaminated ingredients, the impact of which in reducing the risk was tested in different intervention scenarios. The results of the model together with a number of possible risk mitigation measures are used as a basis to discuss the potential of setting of risk-based metrics as a risk management option in the context of food safety decision-making. |
| Databáze: | OpenAIRE |
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