Modeling Growth of Clostridium perfringens in Pea Soup During Cooling
Autor: | Marcel H. Zwietering, R.R. Beumer, Aarieke E. I. De Jong |
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Rok vydání: | 2005 |
Předmět: |
Meat
Time Factors ph Clostridium perfringens Food Handling bacteriocin production Colony Count Microbial Food Contamination medicine.disease_cause Risk Assessment Levensmiddelenmicrobiologie Foodborne Diseases meat foods Refrigeration Physiology (medical) medicine Animals Food microbiology Cooking Food science Growth rate Safety Risk Reliability and Quality Pea soup fog VLAG Models Statistical behavior media Peas Temperature temperature Growth model Hydrogen-Ion Concentration Cold Temperature Meat Products Volume (thermodynamics) Consumer Product Safety Food Clostridium Infections Food Microbiology Colony count Environmental science |
Zdroj: | Risk Analysis, 25(1), 61-73 Risk Analysis 25 (2005) 1 |
ISSN: | 1539-6924 0272-4332 |
DOI: | 10.1111/j.0272-4332.2005.00567.x |
Popis: | Clostridium perfringens is a pathogen that mainly causes food poisoning outbreaks when large quantities of food are prepared. Therefore, a model was developed to predict the effect of different cooling procedures on the growth of this pathogen during cooling of food: Dutch pea soup. First, a growth rate model based on interpretable parameters was used to predict growth during linear cooling of pea soup. Second, a temperature model for cooling pea soup was constructed by fitting the model to experimental data published earlier. This cooling model was used to estimate the effect of various cooling environments on average cooling times, taking into account the effect of stirring and product volume. The growth model systematically overestimated growth of C. perfringens during cooling in air, but this effect was limited to less than 0.5 log N/ml and this was considered to be acceptable for practical purposes. It was demonstrated that the growth model for C. perfringens combined with the cooling model for pea soup could be used to sufficiently predict growth of C. perfringens in different volume sizes of pea soup during cooling in air as well as the effect of stirring, different cooling temperatures, and various cooling environments on the growth of C. perfringens in pea soup. Although fine-tuning may be needed to eliminate inaccuracies, it was concluded that the combined model could be a useful tool for designing good manufacturing practices (GMP) procedures. |
Databáze: | OpenAIRE |
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