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dc.creatorIvers, Andrea M
dc.date.accessioned2012-06-07T22:59:43Z
dc.date.available2012-06-07T22:59:43Z
dc.date.created2000
dc.date.issued2000
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-2000-THESIS-I94
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references (leaves 99-102).en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractThe implementation of Hazard Analysis Critical Control Points and Pathogen Reduction systems as a preventative measure within food processing plants has instigated a need for rapid methods to detect the presence of possible pathogenic bacteria. Studies were undertaken to determine the feasibility of using an electronic nose to differentiate bacteria in a buffer solution and beef samples. The ability of the electronic nose was tested according to incubation time, all concentrations, moisture content of meat and microorganisms type. Pattern recognition techniques along with statistical methods were used in this determination. It was found that the possibility of distinguishing cultures from a control was evident. This was seen especially with testing cultures in meat. Variables such as culture growth changes, humidity and temperature variances played a part in the final analysis. The feasibility of an electronic nose as a rapid detection method within the meat processing industry is a valid idea that needs to be explored further.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectfood science and technology.en
dc.subjectMajor food science and technology.en
dc.titleUse of semiconducting polymer sensors to detect bacterial cultures in medium and in irradiated ground beefen
dc.typeThesisen
thesis.degree.disciplinefood science and technologyen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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