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Advisor(s)
Abstract(s)
The objective of this article was to compare four Poisson-gamma regression models to assess
the effect of chilling on the concentration of coliforms from beef carcasses. A total of 600
carcasses were sampled before and after chilling at eight large Irish abattoirs, and the total
coliforms were determined. With a coded variable (pre-chill/post-chill) as treatment, and
extracting the variability of batches nested in abattoirs, random-effects models confirmed that
chilling had a decreasing effect on the overall recovery of coliforms. Furthermore, the
expected coliforms concentrations on pre-chill and post-chill carcasses were estimated on a
CFU/cm2 scale, as well as their between-batch variability. This study introduced an
alternative conceptual framework that can find interesting applications in stochastic risk
assessment and in the design of more efficient sampling plans.
Description
Keywords
Negative binomial Chilling Coliforms Carcass
Citation
Gonzales-Barron, Ursula A.; Cadavez, Vasco; Butler, Francis (2013). An alternative framework to conduct inferential statistics for low microbial counts in foods: the poisson-gamma regression. In Proceedings of International Conference on Food and Biosystems Engineering - FaBE 2013. Skiathos Island, Greece. Vol. 1, p. 522-531. ISBN 978-960-9510-09-7