Mintchev, MartinBirss, ViolaKaler, KaranJones, Tristan2014-04-012014-06-172014-04-012014Jones, T. (2014). Development and Microscaling of a Novel Glucose Biosensor for Application in a Minimally Invasive Sampling Platform (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25644http://hdl.handle.net/11023/1396Diabetes Mellitus is approaching epidemic proportions in North America and many regions in the world. Current treatment involves self-monitoring of blood glucose levels by analysis of a blood sample obtained by "finger-pricking". This suffers from non-compliance, and samples at a rate much lower than the Shannon frequency of blood glucose levels. The e-Mosquito provides near-painless sampling, is apply-and-forget, and provides a higher sampling rate. This thesis concerns miniaturiziation of a novel glucose transducer, for integration in the e-Mosquito, that consists of iridium and glucose oxidase on a gold electrode, and which obeys Michaelis-Menten kinetics and were characterized using their Imax and Km values. The sensor includes this transducer, a micropotentiostat, a power supply, and an ADC that communicates with the e-Mosquito microprocessor. Testing of the transducer showed current densities of 250-400 uA/cm2, though with high inter-transducer variability. The potentiostat was also characterized and demonstrated to have adequate sensitivity and bandwidth.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.BiochemistryEngineering--BiomedicalEngineering--Electronics and ElectricalBiomedical EngineeringGlucose BionsensorsElectronic Mosquitodiabetes mellitusGlucose OxidaseDevelopment and Microscaling of a Novel Glucose Biosensor for Application in a Minimally Invasive Sampling Platformmaster thesis10.11575/PRISM/25644