Purpose: This study developed mathematical models that predict the behavior of Salmonella in low-moisture foods as influenced by aw, temperature and water mobility.
Methods: Whey protein powders of differing water mobilities were equilibrated to various aw levels between 0.19 and 0.54. Powders were inoculated with a four-strain cocktail of Salmonella (all previously involved in outbreaks in dry foods). Powders were vacuum-sealed and stored at temperatures ranging from 21°C to 80°C. Survival data was fitted to the log-linear, Geeraerd-tail, Weibull, biphasic-linear and Baranyi models. Secondary linear models relating the time required for first decimal reduction (δ) and shape factor values (β) to aw, temperature and water mobility were fit using multiple linear regression. The models were validated in dry non-fat dairy and grain products, as well as low-fat peanut and cocoa products.
Results: Water activity significantly influenced the survival of Salmonella in low-moisture food (P < 0.05) at all temperatures while water mobility had no effect independent of aw (P > 0.05). The Weibull model provided the best description of survival kinetics. Secondary models were useful in predicting the survival of Salmonella in tested low-moisture foods (R = 0.94), providing a more accurate prediction in non-fat food (R = 0.95) as compared to food containing low-fat levels (R = 0.91).
Significance: The models developed in this study provide baseline information to be used for research on risk mitigation strategies for low-moisture foods.