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Abstract

Salmonella enterica, one of the most important foodborne pathogens, is often
acquired through the consumption of contaminated food of animal origin such as
poultry and eggs. In Australia, Salmonella enterica subspecies II 4,12:b- (S. Sofia) is the
predominant serovar isolated from poultry. Salmonella Sofia may be regarded as having
relatively low virulence for humans as it is rarely associated with human disease in
comparison with subspecies I serovars.
Salmonella have been recovered from a wide range of food contact surfaces and
equipment because of their ability to attach to different surfaces in the food processing
environment. Understanding how Salmonella attach to different surfaces may provide
insight into their potential persistence within food environments and their subsequent
contamination of foods. Bacterial attachment is influenced by a number of bacterial
surface properties, including physicochemical characteristics, surface structures and
protein expression. The aims of this study were to:
1) characterise the surface properties of 25 Salmonella isolates including
reference strain S. Typhimurium ATCC 14028. Most strains studied were from poultry
(22 out of 25 isolates) although human isolates (three out of 25 isolates) were also
included. The strains used in this study, represent the four most common serovars (S.
Sofia (n=14), S. Typhimurium (n=6), S. Infantis (n=3) and S. Virchow (n=2)) isolated
from poultry in Australia;
2) determine the role of these surface properties in the initial attachment of
Salmonella to glass, stainless steel, plastic, Teflon®and rubber;
3) determine if surface structures, such as outer membrane proteins (OMP) and
cellulose, could influence the hydrophobicity and attachment ability of bacteria to
different surfaces and
4) investigate whether the initial attachment of Salmonella to glass, stainless
steel, Teflon®and chicken skin was a stochastic process or not. The experimental
stochastic attachment data was also compared to the extended Derjaguin-LandauVerwey-Overbeek
(XDLVO) theory to determine if the theory can predict initial
attachment.

Item Type:	Thesis - PhD
Authors/Creators:	Chia, Teck Wah Raymond
Copyright Holders:	The Author
Copyright Information:	Copyright 2010 the Author - The University is continuing to endeavour to trace the copyright owner(s) and in the meantime this item has been reproduced here in good faith. We would be pleased to hear from the copyright owner(s).
Additional Information:	Thesis (PhD)--University of Tasmania, 2010. Includes bibliographical references
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