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Using predictive microbiology to benefit the Australian meat industry

Citation

Sumner, J and Jenson, I and Ross, T, Using predictive microbiology to benefit the Australian meat industry, Case studies in food safety and authenticity : Lessons from real-life situations, Woodhead Publishing Limited, J Hoorfar (ed), Cambridge, UK, pp. 276-283. ISBN 978-0-85709-412-4 (2012) [Research Book Chapter]

Copyright Statement

Copyright 2012 Woodhead Publishing Limited.

Official URL: http://dx.doi.org/10.1533/9780857096937.5.276

Abstract

Since 2002, predictive food microbiology models have become an everyday part of meat processing in Australia. In early February 2011, tropical cyclone Yasi, the most intense cyclone to land on the Australian continent in I 00 years, struck the north east coast of Australia. Many services were interrupted, including electricity supply. The integrity of perishable foods under refrigerated storage was compromised, including a large volume of fresh meat at a processing plant. Fortunately, the concept of predictive microbiology is well established and accepted in the Australian meat industry. This case describes how the operators of one plant used predictive modelling to avert considerable economic loss and food wastage following the loss of electricity supply for refrigeration.

Item Details

Item Type:Research Book Chapter
Keywords:predictive microbiology, commercial application, meat safety, Refrigeration Index, Escherichia . coli
Research Division:Engineering
Research Group:Food Sciences
Research Field:Food Packaging, Preservation and Safety
Objective Division:Health
Objective Group:Public Health (excl. Specific Population Health)
Objective Field:Food Safety
Author:Sumner, J (Dr John Sumner)
Author:Ross, T (Associate Professor Tom Ross)
ID Code:78316
Year Published:2012
Deposited By:Agricultural Science
Deposited On:2012-06-21
Last Modified:2015-02-05
Downloads:0

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