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In the search for chemical biosensors designed for patient-based physiological applications, non-invasive diagnostic approaches continue to have value. The work described in this thesis builds upon previous breath analysis studies. In particular, it seeks to assess the adsorptive mechanisms active in both acetone and ethanol biosensors designed for

In the search for chemical biosensors designed for patient-based physiological applications, non-invasive diagnostic approaches continue to have value. The work described in this thesis builds upon previous breath analysis studies. In particular, it seeks to assess the adsorptive mechanisms active in both acetone and ethanol biosensors designed for breath analysis. The thermoelectric biosensors under investigation were constructed using a thermopile for transduction and four different materials for biorecognition. The analytes, acetone and ethanol, were evaluated under dry-air and humidified-air conditions. The biosensor response to acetone concentration was found to be both repeatable and linear, while the sensor response to ethanol presence was also found to be repeatable. The different biorecognition materials produced discernible thermoelectric responses that were characteristic for each analyte. The sensor output data is presented in this report. Additionally, the results were evaluated against a mathematical model for further analysis. Ultimately, a thermoelectric biosensor based upon adsorption chemistry was developed and characterized. Additional work is needed to characterize the physicochemical action mechanism.
ContributorsWilson, Kimberly (Author) / Guilbeau, Eric (Thesis advisor) / Pizziconi, Vincent (Thesis advisor) / LaBelle, Jeffrey (Committee member) / Arizona State University (Publisher)
Created2011
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The American Diabetes Association reports that diabetes costs $322 billion annually and affects 29.1 million Americans. The high out-of-pocket cost of managing diabetes can lead to noncompliance causing serious and expensive complications. There is a large market potential for a more cost-effective alternative to the current market standard of screen-printed

The American Diabetes Association reports that diabetes costs $322 billion annually and affects 29.1 million Americans. The high out-of-pocket cost of managing diabetes can lead to noncompliance causing serious and expensive complications. There is a large market potential for a more cost-effective alternative to the current market standard of screen-printed self-monitoring blood glucose (SMBG) strips. Additive manufacturing, specifically 3D printing, is a developing field that is growing in popularity and functionality. 3D printers are now being used in a variety of applications from consumer goods to medical devices. Healthcare delivery will change as the availability of 3D printers expands into patient homes, which will create alternative and more cost-effective methods of monitoring and managing diseases, such as diabetes. 3D printing technology could transform this expensive industry. A 3D printed sensor was designed to have similar dimensions and features to the SMBG strips to comply with current manufacturing standards. To make the sensor electrically active, various conductive filaments were tested and the conductive graphene filament was determined to be the best material for the sensor. Experiments were conducted to determine the optimal print settings for printing this filament onto a mylar substrate, the industry standard. The reagents used include a mixture of a ferricyanide redox mediator and flavin adenine dinucleotide dependent glucose dehydrogenase. With these materials, each sensor only costs $0.40 to print and use. Before testing the 3D printed sensor, a suitable design, voltage range, and redox probe concentration were determined. Experiments demonstrated that this novel 3D printed sensor can accurately correlate current output to glucose concentration. It was verified that the sensor can accurately detect glucose levels from 25 mg/dL to 400 mg/dL, with an R2 correlation value as high as 0.97, which was critical as it covered hypoglycemic to hyperglycemic levels. This demonstrated that a 3D-printed sensor was created that had characteristics that are suitable for clinical use. This will allow diabetics to print their own test strips at home at a much lower cost compared to SMBG strips, which will reduce noncompliance due to the high cost of testing. In the future, this technology could be applied to additional biomarkers to measure and monitor other diseases.
ContributorsAdams, Anngela (Author) / LaBelle, Jeffrey (Thesis advisor) / Pizziconi, Vincent (Committee member) / Abbas, James (Committee member) / Arizona State University (Publisher)
Created2017
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Description

This thesis focuses on Bram Stoker’s 1897 British novel 'Dracula' and its association of medical technology with a myriad of Victorian British societal anxieties, facilitating an examination of current and historical fears about medical intervention and medical innovation. Dracula’s parallel yet opposite portrayals of blood transfusion and vampirism allow fears

This thesis focuses on Bram Stoker’s 1897 British novel 'Dracula' and its association of medical technology with a myriad of Victorian British societal anxieties, facilitating an examination of current and historical fears about medical intervention and medical innovation. Dracula’s parallel yet opposite portrayals of blood transfusion and vampirism allow fears of medical technology to be exaggerated and explored within the realm of the supernatural. In Dracula and today, the desire to restore the health of ourselves and our loved ones is accompanied by fears that medical treatment will cause harm; will reshape our conceptualization of death and thus our relationship with death; and, as new technologies with unestablished consequences are employed, that medical intervention may in fact erode our basic identity and humanity.

ContributorsBoyden, Autumn (Author) / Agruss, David (Thesis director) / MacCord, Katherine (Committee member) / Soares, Rebecca (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

The nineteenth-century invention of smallpox vaccination in Great Britain has been well studied for its significance in the history of medicine as well as the ways in which it exposes Victorian anxieties regarding British nationalism, rural and urban class struggles, the behaviors of women, and animal contamination. Yet inoculation against

The nineteenth-century invention of smallpox vaccination in Great Britain has been well studied for its significance in the history of medicine as well as the ways in which it exposes Victorian anxieties regarding British nationalism, rural and urban class struggles, the behaviors of women, and animal contamination. Yet inoculation against smallpox by variolation, vaccination’s predecessor and a well-established Chinese medical technique that was spread from east to west to Great Britain, remains largely understudied in modern scholarly literature. In the early 1700s, Lady Mary Wortley Montagu, credited with bringing smallpox variolation to Great Britain, wrote first about the practice in the Turkish city of Adrianople and describes variolation as a “useful invention,” yet laments that, unlike the Turkish women who variolate only those in their “small neighborhoods,” British doctors would be able to “destroy this [disease] swiftly” worldwide should they adopt variolation. Examined through the lens of Edward Said’s Orientalism, techno-Orientalism, and medical Orientalism and contextualized by a comparison to British attitudes toward nineteenth century vaccination, eighteenth century smallpox variolation’s introduction to Britain from the non-British “Orient” represents an instance of reversed Orientalism, in which a technologically deficient British “Occident” must “Orientalize” itself to import the superior medical technology of variolation into Britain. In a scramble to retain technological superiority over the Chinese Orient, Britain manufactures a sense of total difference between an imagined British version of variolation and a real, non-British version of variolation. This imagination of total difference is maintained through characterizations of the non-British variolation as ancient, unsafe, and practiced by illegitimate practitioners, while the imagined British variolation is characterized as safe, heroic, and practiced by legitimate British medical doctors. The Occident’s instance of medical technological inferiority brought about by the importation of variolation from the Orient, which I propose represents an eighteenth-century instance of what I call medical techno-Orientalism, represents an expression of British anxiety over a medical technologically superior Orient—anxieties which express themselves as retaliatory attacks on the Orient and variolation as it is practiced in the Orient—and as an expression of British desire to maintain medical technological superiority over the Orient.

ContributorsMalotky, Braeden M (Author) / Agruss, David (Thesis director) / Soares, Rebecca (Committee member) / School of Life Sciences (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description
Statistical process control (SPC) and predictive analytics have been used in industrial manufacturing and design, but up until now have not been applied to threshold data of vital sign monitoring in remote care settings. In this study of 20 elders with COPD and/or CHF, extended months of peak flow monitoring

Statistical process control (SPC) and predictive analytics have been used in industrial manufacturing and design, but up until now have not been applied to threshold data of vital sign monitoring in remote care settings. In this study of 20 elders with COPD and/or CHF, extended months of peak flow monitoring (FEV1) using telemedicine are examined to determine when an earlier or later clinical intervention may have been advised. This study demonstrated that SPC may bring less than a 2.0% increase in clinician workload while providing more robust statistically-derived thresholds than clinician-derived thresholds. Using a random K-fold model, FEV1 output was predictably validated to .80 Generalized R-square, demonstrating the adequate learning of a threshold classifier. Disease severity also impacted the model. Forecasting future FEV1 data points is possible with a complex ARIMA (45, 0, 49), but variation and sources of error require tight control. Validation was above average and encouraging for clinician acceptance. These statistical algorithms provide for the patient's own data to drive reduction in variability and, potentially increase clinician efficiency, improve patient outcome, and cost burden to the health care ecosystem.
ContributorsFralick, Celeste (Author) / Muthuswamy, Jitendran (Thesis advisor) / O'Shea, Terrance (Thesis advisor) / LaBelle, Jeffrey (Committee member) / Pizziconi, Vincent (Committee member) / Shea, Kimberly (Committee member) / Arizona State University (Publisher)
Created2013