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dc.contributor.advisorBielawski, Christopher W.en
dc.contributor.advisorAnslyn, Eric V., 1960-en
dc.contributor.advisorUmali, Alona P.en
dc.creatorChong, Sallyen
dc.date.accessioned2011-01-06T21:56:17Zen
dc.date.accessioned2011-01-06T21:56:23Zen
dc.date.accessioned2017-05-11T22:21:03Z
dc.date.available2011-01-06T21:56:17Zen
dc.date.available2011-01-06T21:56:23Zen
dc.date.available2017-05-11T22:21:03Z
dc.date.issued2010-08en
dc.date.submittedAugust 2010en
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2010-08-2083en
dc.descriptiontexten
dc.description.abstractThe research project, Optimization of an array of Peptidic Indicator Displacement Assays for the Discrimination of Cabernet Sauvignon Wines, describes the multiple step lab trials conducted to optimize an array of ensembles composed of synthesized peptides and PCV:Cu+2 complexes for the differentiation of seven Cabernet Sauvignon wines with different tannin levels. This report also includes the methods and analysis used. The analysis interpreted by principal component analysis.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.subjectPeptidic indicator displacement assaysen
dc.subjectDiscrimination of cabernet sauvignon winesen
dc.subjectPrincipal component analysisen
dc.titleOptimization of an array of peptidic indicator displacement assays for the discrimination of cabernet sauvignon winesen
dc.description.departmentScience and Mathematics Educationen
dc.type.genrethesisen
dc.date.updated2011-01-06T21:56:23Zen


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