Psychrotolerant gram-negative bacteria introduced as post-pasteurization contamination (PPC) are a major cause of spoilage and reduced shelf life of high-temperature, short-time pasteurized fluid milk. To provide improved tools to (1) predict pasteurized fluid milk shelf life as influenced by PPC and (2) assess the effectiveness of different potential interventions that could reduce spoilage due to PPC, we developed a Monte Carlo simulation model that predicts fluid milk spoilage due to psychrotolerant gram-negative bacteria introduced as PPC. As a first step, 17 gram-negative bacterial isolates frequently associated with fluid milk spoilage were selected and used to generate growth data in skim milk broth at 6 °C. The resulting growth parameters, frequency of isolation for the 17 different isolates, and initial concentration of bacteria in milk with PPC, were used to develop a Monte Carlo model to predict bacterial number at different days of shelf life based on storage temperature of milk....
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Journal Article|
March 10 2022
Development of a Monte Carlo simulation model to predict pasteurized fluid milk spoilage due to post-pasteurization contamination with Gram-negative bacteria.
S. I. Murphy, Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY 14853, USA. E-mail sim39@cornell.edu
Journal: Journal of Dairy Science
Citation: Journal of Dairy Science (2022) 105 (3)
DOI: 10.3168/jds.2021-21316
Published: 2022
Citation
Lau, S., Trmcic, A., Martin, N. H., Wiedmann, M., Murphy, S. I.; Development of a Monte Carlo simulation model to predict pasteurized fluid milk spoilage due to post-pasteurization contamination with Gram-negative bacteria.. IFIS Food and Health Sciences Database 2022; doi:
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