Modeling of interventions for reducing external Enterobacteriaceae contamination of broiler carcasses during processing

Risk Anal. 2023 Oct;43(10):1933-1945. doi: 10.1111/risa.14079. Epub 2022 Dec 28.

Abstract

This article presents a mathematical model for the Enterobacteriaceae count on the surface of broiler chicken during slaughter and how it may be affected by different processing technologies. The model is based on a model originally developed for Campylobacter and has been adapted for Enterobacteriaceae using a Bayesian updating approach and hitherto unpublished data gathered from German abattoirs. The slaughter process in the model consists of five stages: input, scalding, defeathering, evisceration, washing, and chilling. The impact of various processing technologies along the broiler processing line on the Enterobacteriaceae count on the carcasses' surface has been determined from literature data. The model is implemented in the software R and equipped with a graphical user interface which allows interactively to choose among different processing technologies for each stage along the processing line. Based on the choice of processing technologies the model estimates the Enterobacteriaceae count on the surface of each broiler chicken at each stage of processing. This result is then compared to a so-called baseline model which simulates a processing line with a fixed set of processing technologies. The model calculations showed how even very effective removal of bacteria on the exterior of the carcass in a previous step will be undone by the cross-contamination with leaked feces, if feces contain high concentrations of bacteria.

Keywords: Enterobacteriaceae; broiler processing; cross-contamination; mathematical modeling.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Abattoirs
  • Animals
  • Bayes Theorem
  • Campylobacter*
  • Chickens / microbiology
  • Colony Count, Microbial
  • Enterobacteriaceae*
  • Food Contamination / analysis
  • Food Handling
  • Food Microbiology
  • Meat / microbiology