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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 |
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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 products from animals |
Objective Field: | Unprocessed or minimally processed fish |
UTAS Author: | Powell, SM (Dr Shane Powell) |
UTAS Author: | Ratkowsky, DA (Dr David Ratkowsky) |
UTAS Author: | Tamplin, ML (Professor Mark Tamplin) |
ID Code: | 97679 |
Year Published: | 2015 |
Web of Science® Times Cited: | 9 |
Deposited By: | Tasmanian Institute of Agriculture |
Deposited On: | 2015-01-08 |
Last Modified: | 2017-11-02 |
Downloads: | 0 |
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