期刊
CRITICAL REVIEWS IN MICROBIOLOGY
卷 43, 期 3, 页码 370-392出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/1040841X.2016.1223600
关键词
Quantitative risk assessment; poultry products; cross contamination; Salmonella
类别
资金
- Departments of Food Science and Biological and Agricultural Engineering, University of Arkansas, Fayetteville
One of the leading causes of foodborne illness in poultry products is Salmonella enterica. Salmonella hazards in poultry may be estimated and possible control methods modeled and evaluated through the use of quantitative microbiological risk assessment (QMRA) models and tools. From farm to table, there are many possible routes of Salmonella dissemination and contamination in poultry. From the time chicks are hatched through growth, transportation, processing, storage, preparation, and finally consumption, the product could be contaminated through exposure to different materials and sources. Examination of each step of the process is necessary as well as an examination of the overall picture to create effective countermeasures against contamination and prevent disease. QMRA simulation models can use either point estimates or probability distributions to examine variables such as Salmonella concentrations at retail or at any given point of processing to gain insight on the chance of illness due to Salmonella ingestion. For modeling Salmonella risk in poultry, it is important to look at variables such as Salmonella transfer and cross contamination during processing. QMRA results may be useful for the identification and control of critical sources of Salmonella contamination.
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