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Title
Characterization of an Optimal Binding Frequency for a Glutaraldehyde Based Point of Care Glucose Sensor
Description
A point of care glucose sensor using electrochemical impedance spectroscopy (EIS) with a glutaraldehyde-linked enzyme shows promise as an effective biosensor platform. This report details the characterization of various factors on optimal binding frequency (OBF) and sensor performance to better prepare the sensor for future experimentation. Utilizing a screen printed carbon electrode, the necessary amount of glucose oxidase was determined to be 10 mg/mL. Binding time trials ranging from 1-3 minutes demonstrated that 1.5 minutes was the optimal binding time. This timeframe produced the strongest impedance response at each glucose concentration. Using this enzyme concentration and binding time, the native OBF of the biosensor was found to be 1.18 Hz using vector analysis. Temperature testing showed little change in OBF in sensors exposed to 4 \u00B0C through 43.3 \u00B0C. Only exposure to 60 \u00B0C resulted in rapid OBF change which was likely due to glucose oxidase becoming denatured. Humidity tests showed little change in OBF and sensor performance between sensors prepared at the humidities of 7.5%, 10.625% and 16.5% humidity. Alternatively, solutions containing common interference molecules such as uric acid, acetaminophen, and ascorbic acid resulted in a highly shifted OBF and drastically reduced signal.
Date Created
2018-12
Contributors
- Matloff, Daniel (Co-author)
- Khanwalker, Mukund (Co-author)
- Johns, Jared (Co-author)
- LaBelle, Jeffrey (Thesis director)
- Pizziconi, Vincent (Committee member)
- Lin, Chi (Committee member)
- Dean, W.P. Carey School of Business (Contributor)
- School of Life Sciences (Contributor)
- Barrett, The Honors College (Contributor)
Topical Subject
Resource Type
Extent
33 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2018-2019
Handle
https://hdl.handle.net/2286/R.I.51225
Level of coding
minimal
Cataloging Standards
System Created
- 2018-12-12 11:58:19
System Modified
- 2021-08-11 04:09:57
- 3 years 3 months ago
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