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Predictive model for the growth of spoilage bacteria on modified atmosphere packaged Atlantic salmon produced in Australia

Citation

Powell, SM and Ratkowsky, DA and Tamplin, ML, Predictive model for the growth of spoilage bacteria on modified atmosphere packaged Atlantic salmon produced in Australia, Food Microbiology, 47 pp. 111-115. ISSN 0740-0020 (2015) [Refereed Article]

Copyright Statement

Crown Copyright 2015 Elsevier Ltd.

DOI: doi:10.1016/j.fm.2014.12.001

Abstract

Most existing models for the spoilage of modified atmosphere packed Atlantic salmon are based on the growth of the spoilage organism Photobacterium phosphoreum. However, there is evidence that this organism is not the specific spoilage organism on salmon produced and packaged in Australia. We developed a predictive model for the growth of bacteria in Australian-produced Atlantic salmon stored under modified atmosphere conditions (30–98% carbon dioxide in nitrogen) at refrigeration temperatures (0–10 °C). As expected, both higher levels of carbon dioxide and lower temperatures decreased the observed growth rates of the total population. A Bělehrádek-type model for growth rate fitted the data best with an acceptably low root mean square error. At low temperatures (∼0 °C) the growth rates in this study were similar to those predicted by other models but at higher temperatures (∼10 °C) the growth rates were significantly lower in the current study.

Item Details

Item Type:Refereed Article
Keywords:seafood, microbiology, modified atmosphere packaging, Atlantic salmon, Salmo salar, specific growth rate, carbon dioxide
Research Division:Biological Sciences
Research Group:Microbiology
Research Field:Microbiology not elsewhere classified
Objective Division:Animal Production and Animal Primary Products
Objective Group:Primary Animal Products
Objective Field:Unprocessed or Minimally Processed Fish
Author:Powell, SM (Dr Shane Powell)
Author:Ratkowsky, DA (Dr David Ratkowsky)
Author:Tamplin, ML (Professor Mark Tamplin)
ID Code:97679
Year Published:2015
Deposited By:TIA - Research Institute
Deposited On:2015-01-08
Last Modified:2016-05-06
Downloads:0

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