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Date of Award
Restricted Thesis: Campus only access
Bachelor of Science
Dr. Michael C. Leopold
First generation biosensor development is of interest because the strategy can be readily adapted to many different, clinically-relevant analytes with specific enzymatic reactions to help provide selectivity. Oxidation of hydrogen peroxide, a by-product of said enzymatic reactions, at a platinum electrode allows for amperometric sensing of the targeted analyte in real-time. The layer-by-layer strategy has been explored for glucose sensing, as a model system, but this study adapts the design to uric acid for early detection of pregnancy-induced hypertension and preeclampsia risk. Each of four layers (outer polyurethane selective membrane, the inner selective electropolymer, and the xerogel bi-layer) are optimized for uric acid sensitivity and interferent discrimination. The development of the uric acid biosensor not only acts as a proof of concept for adapting a specific enzyme-based xerogel biosensor to another targeted molecule but also acts a significant step in uric acid biosensor commercial development and more effective pregnancy-induced hypertension diagnosis and monitoring.
Conway, Grace; Leopold, Michael; Lambertson, Raef H.; Schwarzmann, Margaret A.; Pannell, Michael J.; Kerins, Helene W.; Rubenstein, Kristin J.; and Dattelbaum, Jonathan D., "Layer-by-layer design and optimization of xerogel-based amperometric first generation biosensors for uric acid" (2018). Honors Theses. 1323.