Analytical Techniques To Optimize Trace Insecticide Detection Mechanisms Using Surface Plasmon Resonance And Surface-Enhanced Raman Spectroscopy
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This 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. iii
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2013-05-26
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insecticide; surface plasmon resonance; surface-enhanced raman spectroscopy; apple
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Batt, Carl A
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Wilcox, Wayne Frank
Degree Discipline
Food Science and Technology
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M.S., Food Science and Technology
Degree Level
Master of Science
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Government Document
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dissertation or thesis