Abstract
In this study, we developed a predictive program for Salmonella Enteritidis growth in ground chicken and liquid egg products at various temperature patterns. The ground chicken samples were sterilized chicken and raw chicken containing high and low levels of natural microflora, and the liquid egg products were pasteurized or unpasteurized. Microbial growth data published in our previous papers were used for prediction with our new logistic model. The program for the bacterial growth in those food materials was developed on a commercially available spread-sheet program. Users can instantly predict the Salmonella growth in those chicken and egg yolk products by inputting their temperature histories. The growth of natural microflora in the chicken products can also be predicted with the program. This program could be a useful tool to ensure the microbial safety of those materials with regards to Salmonella Enteritidis growth.
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