ScholarWorks@숙명여자대학교

초록

This study developed probabilistic models to predict Salmonella growth in processed meat products formulated with varying concentrations of NaC1 and NaNO2. A five-strain mixture of Salmonella was inoculated in nutrient broth supplemented with NaC1 (0%, 0.25%, 0.5%, 0.75%, 0.5%, 1.0%, 1.25%, and 1.75%) and NaNO2 (0, 15, 30, 45, 60, 75, 90, 105, and 120 ppm). The inoculated samples were then incubated under aerobic and anaerobic conditions at 4 degrees C, 7 degrees C, 10 degrees C, 12 degrees C, and 15 degrees C for up to 60 days. Growth (assigned the value of 1) or no growth (assigned the value of 0) for each combination was evaluated by turbidity. These growth response data were analyzed with a logistic regression to evaluate the effect of NaCl and NaNO2 on Salmonella growth. The results from the developed model were compared to the observed data obtained from the frankfurters to evaluate the performance of the model. Results from the developed model showed that a single application of NaNO2 at low concentrations did not inhibit Salmonella growth, whereas NaCl significantly (p<0.05) inhibited Salmonella growth at 10 degrees C, 12 degrees C, and 15 degrees C, regardless of the presence of oxygen. At 4 degrees C and 7 degrees C, Salmonella growth was not observed in either aerobic or anaerobic conditions. When NaNO2 was combined with NaCl, the probability of Salmonella growth decreased. The validation value confirmed that the performance of the developed model was appropriate. This study indicates that the developed probabilistic models should be useful for describing the combinational effect of NaNO2 and NaC1 on inhibiting Salmonella growth in processed meat products.

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