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dc.contributor.authorPhifer, Adrienneen_US
dc.date.accessioned2013-09-05T15:56:30Z
dc.date.available2018-05-27T06:01:02Z
dc.date.issued2013-05-26en_US
dc.identifier.otherbibid: 8266983
dc.identifier.urihttps://hdl.handle.net/1813/33977
dc.description.abstractThis thesis uses Surface Plasmon Resonance (SPR) and Surface-Enhanced Raman Spectroscopy (SERS) to optimize trace insecticide detection mechanisms. Traditional methods for trace insecticide detection include Gas Chromatography (GC)/Mass Spectrometry (MS) and Enzyme Linked Immunosorbent Assay (ELISA) methods. Although standard, these methods require large sample volumes and extensive sample preparation. A diagnostic method overcoming these issues is SERS. SERS increases the Raman signal of an analyte by chemisorption of the molecule to the surface of a noble metal or excitation of surface plasmon resonance at the metal surface. To optimize SERS enhancement factors we have used aptamers to increase a molecule's SERS signal by bringing the molecule in closer proximity to the metal surface. In this thesis, the efficiency of two malathion-specific aptamers is quantified using surface plasmon resonance techniques. Additionally, a novel Surface-Enhanced Raman Diagnostic Membrane is utilized for insecticide residue analysis. iiien_US
dc.language.isoen_USen_US
dc.subjectinsecticideen_US
dc.subjectsurface plasmon resonanceen_US
dc.subjectsurface-enhanced raman spectroscopyen_US
dc.subjectappleen_US
dc.titleAnalytical Techniques To Optimize Trace Insecticide Detection Mechanisms Using Surface Plasmon Resonance And Surface-Enhanced Raman Spectroscopyen_US
dc.typedissertation or thesisen_US
thesis.degree.disciplineFood Science and Technology
thesis.degree.grantorCornell Universityen_US
thesis.degree.levelMaster of Science
thesis.degree.nameM.S., Food Science and Technology
dc.contributor.chairBatt, Carl Aen_US
dc.contributor.committeeMemberWilcox, Wayne Franken_US


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