Estimating Salmonella Typhimurium Growth on Chicken Breast Fillets Under Simulated Less-Than-Truckload Dynamic Temperature Abuse.

Autor: Herron CB; Department of Poultry Science, Auburn University, Auburn, Alabama, USA., Tamplin M; Centre of Food Safety and Innovation, Tasmanian Institute of Agriculture, University of Tasmania, Hobart, Australia., Siddique A; Department of Poultry Science, Auburn University, Auburn, Alabama, USA., Wu B; Department of Poultry Science, Auburn University, Auburn, Alabama, USA., Black MT; Department of Poultry Science, Auburn University, Auburn, Alabama, USA., Garner L; Department of Poultry Science, Auburn University, Auburn, Alabama, USA., Huang TS; Department of Poultry Science, Auburn University, Auburn, Alabama, USA., Rao S; Department of Supply Chain Management, Auburn University, Auburn, Alabama, USA., Morey A; Department of Poultry Science, Auburn University, Auburn, Alabama, USA.
Jazyk: angličtina
Zdroj: Foodborne pathogens and disease [Foodborne Pathog Dis] 2024 Nov; Vol. 21 (11), pp. 708-716. Date of Electronic Publication: 2024 Jul 31.
DOI: 10.1089/fpd.2024.0018
Abstrakt: Companies may have insufficient freight to fill an entire truck/trailer, and instead only pay for space that their products occupy (i.e., "less-than-truckload" shipping; LTL). As LTL delivery vehicles make multiple stops, there is an increased opportunity for product temperature abuse, which may increase microbial food safety risk. To assess LTL effects on Salmonella Typhimurium growth, commercially produced boneless skinless chicken breast fillets were inoculated and incubated under dynamic 2-h temperature cycles (i.e., 2 h at 4°C and then 2 h at 25°C), mimicking a commercially relevant LTL scenario. Bacterial kinetics were measured over 24 h and then observations compared with predictions of three published Salmonella secondary models by bias and accuracy factor measurement. One model produced more "fail-safe" estimates of Salmonella growth than the other models, although all models were defined as "acceptable." These developed tertiary models can help shippers assess supply chain performance and produce proactive food safety risk management systems.
Databáze: MEDLINE