Modeling the long-term kinetics of Salmonella survival on dry pet food. (September 2016)

• Record Type: Journal Article
• Authors: Lambertini, Elisabetta; Mishra, Abhinav; Guo, Miao; Cao, Huilin; Buchanan, Robert L.; Pradhan, Abani K.
• Is Part Of: Food microbiology. Volume 58(2016:Sep.)
• Page Start: 1
• Page End: 6
• Publication Date: 2016-09
• Subjects: Salmonella -- Low water activity -- Feed -- Storage -- Non-linear -- Weibull; Food Microbiology -- Periodicals; Aliments -- Microbiologie -- Périodiques; Food -- Microbiology; Periodicals; Food -- Microbiology -- Periodicals; Food contamination -- Periodicals; 664.001579
• DOI: 10.1016/j.fm.2016.02.003
• Languages: English
• ISSNs: 0740-0020

Abstract

Abstract: Due to multiple outbreaks and large-scale product recalls, Salmonella has emerged as a priority pathogen in dry pet food and treats. However, little data are available to quantify risks posed by these classes of products to both pets and their owners. Specifically, the kinetics of Salmonella survival on complex pet food matrices are not available. This study measured the long-term kinetics of Salmonella survival on a dry pet food under storage conditions commonly encountered during production, retail, and in households (aw < 0.60, 23 °C). A Salmonella enterica cocktail of 12 strains isolated from dry pet foods and treats was used to inoculate commercial dry dog food. Salmonella was enumerated on non-selective (BHI) and selective (XLD and BS) media. Results at 570 days indicated an initial relatively rapid decline (up to 54 days), followed by a much slower extended decline phase. The Weibull model provided a satisfactory fit for time series of Log-transformed Salmonella counts from all three media (δ: mean 4.65 day/Log (CFU/g); p: mean 0.364 on BHI). This study provides a survival model that can be applied in quantitative risk assessment models. Highlights: Salmonella can survive in dry pet food for at least 19 months. Kinetics of decline follow a nonlinear trend in the Log CFU/g. The Weibull equation can satisfactorily describe survival kinetics.