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View/Open - ARAN - National University of Ireland, Galway

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Chapter 6<br />

However, a number <strong>of</strong> authors have described Salmonella bi<strong>of</strong>ilm<br />

formation with a limited number <strong>of</strong> strains [67, 71], with a single serovar<br />

[73, 98, 102, 106, 138, 147, 187-188, 190] or using a single bi<strong>of</strong>ilm<br />

substrata [111-112, 159, 165, 191]. The work presented in this thesis<br />

makes a useful contribution to the knowledge <strong>of</strong> Salmonella enterica<br />

bi<strong>of</strong>ilm density on surfaces, as multiple strains within three serovars <strong>of</strong><br />

interest S. Agona, S. Typhimurium and S. Enteritidis, were compared.<br />

6.1. Replicating food processing environments<br />

There are inevitable difficulties in applying findings from research in<br />

controlled laboratory conditions to food processing environments although<br />

it is important that experimental design takes account <strong>of</strong> real world<br />

environments, in so far as possible. For example, the use <strong>of</strong> multiple<br />

surfaces may allow a more comprehensive understanding <strong>of</strong> bi<strong>of</strong>ilm<br />

density on surfaces frequently associated with food processing<br />

environments. The conditions used during bi<strong>of</strong>ilm studies such as the<br />

reactor model chosen, temperature, nutrient flow and concentration can<br />

influence the density <strong>of</strong> bi<strong>of</strong>ilm formed [32, 73, 102, 117, 188]. Therefore,<br />

the bi<strong>of</strong>ilm density was assessed for 12 S. enterica strains using the CBR<br />

and microtitre plate based models for 48 and 168 hours. The experiments<br />

were also repeated to investigate the repeatability and accuracy <strong>of</strong> the<br />

findings.<br />

Previous research indicates that the properties <strong>of</strong> a Salmonella bi<strong>of</strong>ilm<br />

formed under a specific set <strong>of</strong> conditions may be surface specific [71, 95,<br />

102]. Therefore, a practical approach was undertaken in this work to use a<br />

bi<strong>of</strong>ilm model that allowed inclusion <strong>of</strong> multiple surfaces commonly found<br />

in food processing environments to be assessed simultaneously within one<br />

Page 195

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