1a. Objectives (from AD-416):
1: Derive data and model Salmonella serotype changes in movement from incoming product, through whole bird processing, post-carcass cut-up, to final product. 1A. Develop an exposure assessment (EA) model for Salmonella serotype changes in movement from post-carcass cut-up to final product (cooked chicken parts). 2: Study the survival characteristics for Salmonella serotypes: are there serotypes that survive interventions on farm, in the processing plant and/or final product. 2A. Use the EA model to evaluate efficacy of a plastic chicken house floor for Salmonella serotype control. 3: Derive additional predictive microbiology data of multi-drug resistant (MDR) Salmonella spp., such as Salmonella Typhimurium DT104. 3A. Use MDR Salmonella serotypes to develop the predictive microbiology models needed for the EA model.
1b. Approach (from AD-416):
Predictive microbiology models for contamination, growth and survival of Salmonella serotypes on chicken parts will be developed and linked to form an exposure assessment model that predicts changes in incidence and number of Salmonella serotypes on chicken parts produced by different farm-to-table scenarios. The exposure assessment model will predict consumer exposure to Salmonella serotypes that survive cooking of chicken parts and that cross-contaminate cooked chicken parts during serving. The exposure assessment model will be designed to evaluate effects of interventions on consumer exposure to Salmonella serotypes of chicken origin. The intervention evaluated in the project will be a plastic chicken house floor that has potential to reduce Salmonella serotypes entering the processing plant and surviving on chicken parts after final processing.
3. Progress Report:
The ultimate goal of this project is to develop a computer model that predicts the risk of exposure of consumers to Salmonella on edible parts of the chicken carcass before they are shipped from the processing plant. This exposure assessment model will help the U.S. Department of Agriculture, Food Safety and Inspection Service and the chicken industry to better identify higher risk lots of chicken before they cause a public health crisis. This year a prototype of the model was developed and is being used as a research framework for acquisition of data and development of sub-models that will improve its predictions. A focus of the data collection efforts this year was the investigation and modeling of the survival and growth of Salmonella on chicken meat during cold storage. Other areas of investigation were to acquire data that define the levels and distribution of Salmonella among edible parts of the whole chicken carcass and to acquire data that define how readily Salmonella are transferred from raw chicken to cooked chicken during meal preparation. When completed, the model will predict how the number and types of Salmonella change on edible chicken parts as the move from the processing plant through cold storage, meal preparation, cooking and cooling and to the consumer’s table. The model will also be used in future years of the project to evaluate the ability of the chicken industry to reduce consumer exposure to Salmonella by implementation of intervention methods on-the-farm and in-the-processing plant, such as the use of a new chicken house design with a plastic floor.