Literature DB >> 22008626

Modelling transfer of Salmonella Typhimurium DT104 during simulation of grinding of pork.

C O A Møller1, M J Nauta, B B Christensen, P Dalgaard, T B Hansen.   

Abstract

AIMS: The aim of this study was to develop a model to predict cross-contamination of Salmonella during grinding of pork. METHODS AND
RESULTS: Transfer rates of Salmonella were measured in three experiments, where between 10 and 20 kg meat was ground into 200-g portions. In each experiment, five pork slices of about 200 g per slice were inoculated with 8-9 log-units of Salmonella Typhimurium DT104 and used for building up the contamination in the grinder. Subsequently, Salmonella-free slices were ground and collected as samples of c. 200 g minced pork. Throughout the process, representative samples were quantitatively analysed for Salmonella. A model suggested by Nauta et al. (2005) predicting cross-contamination of Campylobacter in poultry processing and two modified versions of this model were tested.
CONCLUSIONS: The present study observed a tailing phenomenon of transfer of Salmonella during a small-scale grinding process. It was, therefore, hypothesized that transfer occurred from two environmental matrices inside the grinder and a model was developed. The developed model satisfactorily predicted the observed concentrations of Salmonella during its cross-contamination in the grinding of up to 110 pork slices. SIGNIFICANCE AND IMPACT OF THE STUDY: The proposed model provides an important tool to examine the effect of cross-contamination in quantitative microbial risk assessments and might also be applied to various other food processes where cross-contamination is involved.
© 2011 The Authors. Journal of Applied Microbiology © 2011 The Society for Applied Microbiology.

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Year:  2011        PMID: 22008626     DOI: 10.1111/j.1365-2672.2011.05177.x

Source DB:  PubMed          Journal:  J Appl Microbiol        ISSN: 1364-5072            Impact factor:   3.772


  1 in total

1.  Quantitative Bio-Mapping of Salmonella and Indicator Organisms at Different Stages in a Commercial Pork Processing Facility.

Authors:  Rossy Bueno López; David A Vargas; Reagan L Jimenez; Diego E Casas; Markus F Miller; Mindy M Brashears; Marcos X Sanchez-Plata
Journal:  Foods       Date:  2022-08-25
  1 in total

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