Development of a predictive model for Salmonella spp. reduction in meat jerky product with temperature, potassium sorbate, pH, and water activity as controlling factors


INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY, vol.236, pp.1-8, 2016 (SCI-Expanded) identifier identifier


The objective of this study was to develop a predictive model for the inactivation of Salmonella spp. in ground beef jerky as a function of temperature (T), pH, potassium sorbate (PS), and final water activity (a(w)). Following a central composite design, ground beef was combined with PS (0 to 03%, w/w), pH adjusted from 5 to 7, inoculated with a cocktail of 6 serotypes of Salmonella spp. and heat processed at temperatures between 65 and 85 degrees C until the final a(w) ranging from 0.65 to 0.85 was achieved. Surviving Salmonella cells were enumerated on tryptic soy agar overlaid with xylose lysine deoxycholate agar (pre-tempered to 47 degrees C) after incubation for 48 h at 30 degrees C. Bacterial inactivation was quantified in terms of logarithmic reductions of Salmonella counts (log(10) CFU/g) and inactivation rate (log(10) (CFU/g)/h). The results indicated that pH, PS and T significantly (p < 0.05) interacted to inactivate Salmonella in beef jerky. Decreasing meat pH significantly (p < 0.05) increased the efficacy of PS and T to reduce the levels of Salmonella spp. Beef jerky processed at 82 degrees C, pH 5.5, with 0.25% PS to a final aw of 0.7 resulted in a maximum Salmonella logarithmic reduction of 5.0 log(10) CFU/g and an inactivation rate of 13 log(10) (CFU/g)/h. The predictive model developed can be used to effectively design drying processes for beef jerky under low humidity conditions and thereby, ensuring an adequate degree of protection against risks associated with Salmonella spp. (C) 2016 Published by Elsevier B.V.