Matching Items (53)
Description
Self-monitoring of blood glucose (SMBG) is the standard of care in diabetes management. Current technologies for SMBG are based upon enzymatic electrochemical (amperometric) sensing. To increase the sensitivity and specificity of current devices, a novel method of detecting glucose using electrochemical impedance spectroscopy (EIS) technology is explored. To test the ability of EIS methods to detect glucose, the enzyme glucose oxidase (GOx) was fixed to gold electrodes through the means of a specific immobilization process. Once GOx was fixed to the gold electrode surface, a 5 mV sine wave sweeping frequencies from 100 kHz to 1 Hz was induced at a glucose range 0-500 mg/dL mixed with a ferricyanide redox mediator. Each frequency in the impedance sweep was analyzed for highest response and R-squared value. The frequency with both factors optimized is specific for the glucose-GOx binding interaction, and was determined to be 1.17 kHz in purified solutions. Four separate electrodes were constructed and date from each were averaged. The correlation between the impedance response and concentration at the low range of detection (0-100 mg/dL of gluose) was determined to be 3.19 ohm/ln (mg/dL) with an R-squared value of 0.86. Its associated lower limit of detection was found to be 41 mg/dL. The same frequency of 1.17 kHz was then verified in whole blood under the glucose range of 0-100 mg/dL while diluting the blood to observe effect. As the blood concentration increased, the response of the sensor decreased logarithmically. The maximized blood detection volume was determined to be 25% whole blood suggesting dilution, coatings, or filtration is required for future adaptation. The above data confirms that EIS offers a new method of glucose detection as an alternative technology for SMBG and offers improved detection at lower concentrations of glucose. The unique frequency response of individual markers allows for modulation of signals so that several markers could be measured with a single sensor. Future work includes assessment of other diabetes associated biomarkers that can be measured on a single sensor, integration testing and tuning of the biomarkers, impedance-time sensing development, and finally, testing on control subjects.
ContributorsAdamson, Teagan (Author) / LaBelle, Jeffrey (Thesis director) / Pizziconi, Vincent (Committee member) / Cook, Curtiss (Committee member) / Barrett, The Honors College (Contributor)
Created2012-05
Description
Sickle cell disease is a genetic disorder that can cause substantial helath problems. It is the result of a mutation in the DNA coding for hemoglobin. As a result of changes in two important amino acids, a person suffering from sickle cell disease will have erythrocytes that do not maintain the typical biconcave shape and instead for a crescent shape. Individuals with sickle cell disease may have many health problems tied to their irregular hemoglobin. The unusual shape of the erythrocytes leads to a much shorter cell life, which means that even though bone marrow remains active long past childhood to try to keep up with the loss of erythrocytes, the body is still unable to accommodate the rapid death of erythrocytes. The malformed erythrocytes can also cause vascular occlusion, blocking blood vessels and slowing blood flow. While sickle cell disease has the potential to spread worldwide, it is particularly common in Africa. This may be because people with the sickle cell trait have a high resistance to malaria, making them more likely to survive that ubiquitous disease and pass on their traits to their offspring. However, the mortality rate in young children with sickle cell disease is very high, in part because the spleen, already stressed by filtering out dead erythrocytes, has difficulties filtering out bacteria. One of the keys to stopping the spread of the disease is neonatal screening, but this requires specialized equipment that is fairly uncommon in rural areas, as can be seen in Kenya. Therefore, it would be highly beneficial to develop a more cost-effective and widely available method for testing for sickle cell disease.
ContributorsWold, John (Author) / Caplan, Michael (Thesis director) / LaBelle, Jeffrey (Committee member) / Snyder, Jan (Committee member) / Barrett, The Honors College (Contributor)
Created2012-05
Description
The Dorrance Center for Rare Childhood Disorders is a unique research division at TGen (The Translational Genomics Research Institute) that provides personalized care to children and young adults facing rare, undiagnosed diseases. TGen scientists believe that the answers to these enigmatic disorders can often be found in a person's genetic code. They aim to solve these genetic mysteries using whole exome sequencing, a method that prioritizes the protein-coding portion of the genome in the search for disease-causing variants. Unfortunately, a communication gap sometimes exists between the TGen scientists and the patients they serve. I have seen, first hand, the kind of confusion that this study elicits in the families of its participants. Therefore, for my thesis, I decided to create a booklet that is meant to provide some clarity as to what exactly The Dorrance Center for Rare Childhood Disorders does to help diagnose children with rare disorders. The purpose of the booklet is to dispel any confusion regarding the study by providing a general review of genetics and an application of these lessons to the relevant sequencing technology as well as a discussion of the causes and effects of genetic mutations that often times are linked to rare childhood disorders.
ContributorsCambron, Julia Claire (Author) / LaBelle, Jeffrey (Thesis director) / Huentelman, Matt (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor) / School of Life Sciences (Contributor)
Created2015-05
Description
In this paper, β-estradiol was characterized utilizing electrochemical impedance spectroscopy (EIS) techniques for the purpose of developing a multi-marker fertility sensor. β-estradiol was immobilized onto the surface of gold disk electrodes to find the optimal binding frequency of estradiol and its respective antibody, anti-17β-estradiol, which was determined to be 37.46Hz. At this frequency a logarithmic relationship between concentration and impedance (Z/ohm) was established creating a concentration calibration curve with a slope of 211 ohm/ln(pg mL-1), an R-squared value of 0.986 and a lower limit of detection of 742 fg mL-1. The specificity and cross-reactivity of the antibody with other hormones was tested through interferent and non-target experiments. Signal-to-noise ratio analysis verified that anti-17β-estradiol exhibited minimal chemical reactions with other hormones (SNR< 3) in non-target experiments. Additionally, there were minimal changes in the amount of signal collected during interferent testing, with albumin and follicle stimulating hormone having SNR values greater than 3. These results, along with the unique frequency response of the antibody-target binding reaction, allow for the possibility of using anti-17β-estradiol and β-estradiol for detecting multiple fertility biomarkers on a single sensor.
ContributorsSmith, Victoria Ann (Author) / LaBelle, Jeffrey (Thesis director) / Spano, Mark (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2014-05
Description
Diabetes mellitus is a disease characterized by many chronic and acute conditions. With the prevalence and cost quickly increasing, we seek to improve on the current standard of care and create a rapid, label free sensor for glycated albumin (GA) index using electrochemical impedance spectroscopy (EIS). The antibody, anti-HA, was fixed to gold electrodes and a sine wave of sweeping frequencies was induced with a range of HA, GA, and GA with HA concentrations. Each frequency in the impedance sweep was analyzed for highest response and R-squared value. The frequency with both factors optimized is specific for both the antibody-antigen binding interactions with HA and GA and was determined to be 1476 Hz and 1.18 Hz respectively in purified solutions. The correlation slope between the impedance response and concentration for albumin (0 \u2014 5400 mg/dL of albumin) was determined to be 72.28 ohm/ln(mg/dL) with an R-square value of 0.89 with a 2.27 lower limit of detection. The correlation slope between the impedance response and concentration for glycated albumin (0 \u2014 108 mg/dL) was determined to be -876.96 ohm/ln(mg/dL) with an R-squared value of 0.70 with a 0.92 mg/dL lower limit of detection (LLD). The above data confirms that EIS offers a new method of GA detection by providing unique correlation with albumin as well as glycated albumin. The unique frequency response of GA and HA allows for modulation of alternating current signals so that several other markers important in the management of diabetes could be measured with a single sensor. Future work will be necessary to establish multimarker sensing on one electrode.
ContributorsEusebio, Francis Ang (Author) / LaBelle, Jeffrey (Thesis director) / Pizziconi, Vincent (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2014-05
Description
Electromyography (EMG) and Electroencephalography (EEG) are techniques used to detect electrical activity produced by the human body. EMG detects electrical activity in the skeletal muscles, while EEG detects electrical activity from the scalp. The purpose of this study is to capture different types of EMG and EEG signals and to determine if the signals can be distinguished between each other and processed into output signals to trigger events in prosthetics. Results from the study suggest that the PSD estimates can be used to compare signals that have significant differences such as the wrist, scalp, and fingers, but it cannot fully distinguish between signals that are closely related, such as two different fingers. The signals that were identified were able to be translated into the physical output simulated on the Arduino circuit.
ContributorsJanis, William Edward (Author) / LaBelle, Jeffrey (Thesis director) / Santello, Marco (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2013-12
Description
Volume depletion can lead to migraines, dizziness, and significant decreases in a subject's ability to physically perform. A major cause of volume depletion is dehydration, or loss in fluids due to an imbalance in fluid intake to fluid excretion. Because proper levels of hydration are necessary in order to maintain both short and long term health, the ability to monitor hydration levels is growing in clinical demand. Although devices capable of monitoring hydration level exist, these devices are expensive, invasive, or inaccurate and do not offer a continuous mode of measurement. The ideal hydration monitor for consumer use needs to be characterized by its portability, affordability, and accuracy. Also, this device would need to be noninvasive and offer continuous hydration monitoring in order to accurately assess fluctuations in hydration data throughout a specified time period. One particular method for hydration monitoring that fits the majority of these criteria is known as bioelectric impedance analysis (BIA). Although current devices using BIA do not provide acceptable levels of accuracy, portability, or continuity in data collection, BIA could potentially be modified to fit many, if not all, desired customer specifications. The analysis presented here assesses the viability of using BIA as a new standard in hydration level measurement. The analysis uses data collected from 22 subjects using an existing device that employs BIA. A regression derived for estimating TBW based on the parameters of age, weight, height, sex, and impedance is presented. Using impedance data collected for each subject, a regression was also derived for estimating impedance based on the factors of age, weight, height, and sex. The derived regression was then used to calculate a new impedance value for each subject, and these new impedance values were used to estimate TBW. Through a paired-t test between the TBW values derived by using the direct measurements versus the calculated measurements of impedance, the two samples were found to be comparable. Considerations for BIA as a noninvasive measurement of hydration are discussed.
ContributorsTenorio, Jorge Antonio (Author) / LaBelle, Jeffrey (Thesis director) / Pizziconi, Vincent (Committee member) / Spano, Mark (Committee member) / Barrett, The Honors College (Contributor) / W. P. Carey School of Business (Contributor) / Harrington Bioengineering Program (Contributor)
Created2013-05
Description
Currently, the management of diabetes mellitus (DM) involves the monitoring of only blood glucose using self-monitoring blood glucose devices (SMBGs) followed by taking interventional steps, if needed. To increase the amount of information that diabetics can have to base DM care decisions off of, the development of an insulin biosensor is explored. Such a biosensor incorporates electrochemical impedance spectroscopy (EIS) to ensure an extremely sensitive platform. Additionally, anti-insulin antibody was immobilized onto the surface of a gold disk working electrode to ensure a highly specific sensing platform as well. EIS measurements were completed with a 5mV sine wave that was swept through the frequency spectrum of 100 kHz to 1 Hz on concentrations of insulin ranging from 0 pM to 100 μM. The frequency at which the interaction between insulin and its antibody was optimized was determined by finding out at which frequency the R2 and slope of the impedance-concentration plot were best. This frequency, otherwise known as the optimal binding frequency, was determined to be 459 Hz. Three separate electrodes were developed and the impedance data for each concentration measured at 459 Hz was averaged and plotted against the LOG (pM insulin) to construct the calibration curve. The response was calculated to be 263.64 ohms/LOG(pM insulin) with an R2 value of 0.89. Additionally, the average RSD was determined to be 19.24% and the LLD was calculated to be 8.47 pM, which is well below the physiological normal range. These results highlight the potential success of developing commercial point-of-care insulin biosensors or multi-marker devices operating with integrated insulin detection.
ContributorsDecke, Zachary William (Author) / LaBelle, Jeffrey (Thesis director) / Pizziconi, Vincent (Committee member) / Cook, Curtiss (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2013-05
Description
This report provides information concerning qualities of methylcellulose and how those properties affect further experimentation within the biomedical world. Utilizing the compound’s biocompatibility many issues, ranging from surgical to cosmetic, can be solved. As of recent, studies indicate, methylcellulose has been used as a physically cross-linked gel, which cannot sustain a solid form within the body. Therefore, this report will ultimately explore the means of creating a non-degradable, injectable, chemically cross-linking methylcellulose- based hydrogel. Methylcellulose will be evaluated and altered in experiments conducted within this report and a chemical cross-linker, developed from Jeffamine ED 2003 (O,O′-Bis(2-aminopropyl) polypropylene glycol-block-polyethylene glycol-block-polypropylene glycol), will be created. Experimentation with these elements is outlined here, and will ultimately prompt future revisions and analysis.
ContributorsBundalo, Zoran Luka (Author) / Vernon, Brent (Thesis director) / LaBelle, Jeffrey (Committee member) / Overstreet, Derek (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2013-05
Description
Bangladesh is facing one of the largest mass poisonings in human history with over 77 million people affected by contaminated water each and every day. Over the last few years, the 33 Buckets team has come together to help fulfill this clean water need through filtration, education, and an innovative distribution system to inspire and empower people in Bangladesh and across the world. To start this process, we are working with the Rahima Hoque Girls' school in the rural area of Raipura, Bangladesh to give girls access to clean water where they spend the most time. Through our assessment trip in May 2012, we were able to acquire technical data, community input, and partnerships necessary to move our project forward. Additionally, we realized that in many cases, including the Rahima Hoque school, water problems are not caused by a lack of technology, but rather a lack of utilization and maintenance long-term. To remedy this, 33 Buckets has identified a local filter to have installed at the school, and has designed a small-scale business focused on selling clean water in bulk to the surrounding community. Our price point and association with the Rahima Hoque Girls' school makes our solution sustainable. Plus, with the success of our first site, we see the potential to scale. We already have five nearby schools interested in working to implement similar water projects, and with over 100,000 schools in Bangladesh, many of which lack access to the right water systems, we have a huge opportunity to impact millions of lives. This thesis project describes our journey through this process. First, an introduction to our work prior to the assessment trip and through the ASU EPICS program is given. Second, we include quantitative and qualitative details regarding our May 2012 assessment trip to the Rahima Hoque school and Dhaka. Third, we recount some of the experiences we were able to participate in following the trip to Bangladesh, including the Dell Social Innovation Challenge. Fourth, we examine the technical filtration methods, business model development, and educational materials that will be used to implement our solution this summer. Finally, we include an Appendix with a variety of social venture competitions and applications that we have submitted over the past two years, in addition to other supplementary materials. These are excellent examples of our diligence and provide unique insight into the growth of our project.
ContributorsStrong, Paul Andrew (Co-author) / Shah, Pankti (Co-author) / Huerta, Mark (Co-author) / Henderson, Mark (Thesis director) / El Asmar, Mounir (Committee member) / LaBelle, Jeffrey (Committee member) / Barrett, The Honors College (Contributor) / Mechanical and Aerospace Engineering Program (Contributor)
Created2013-05