Category: Automation and High-Throughput Technologies
Combinatorial bio-sensing of glucose and ethanol in human sweat through electrical double layer modulation
University of Texas at Dallas
EnLiSense LLC, Allen, Texas
University of Texas at Dallas
Wearable bio-sensing technology provides an excellent platform for real-time health monitoring applications, thus allowing an individual to make healthier lifestyle choices. Patients and health-care professionals can track medical conditions reliably through non-invasive monitoring of bodily fluids such as blood, sweat, urine. Human sweat contains valuable medical information which can be used to develop real-time, healthcare management devices. Alcohol consumption is prevalent in the United States, with an estimated 109 million Americans who drink alcohol. The effect of alcohol on diabetes has been studied and there is a higher risk of developing diabetes with both low and high intake levels and a lower risk with moderate intake. Alcohol consumption has a contradictory effect on a diabetic individual’s blood glucose level depending on their nutrition state. Consuming alcohol in a fasting state induces hypoglycemia while in the fed state it induces hyperglycemia. Hence, there is a need to understand the long-term effects of alcohol consumption on diabetes. We demonstrate a flexible, electrochemical biosensor towards combinatorial monitoring of alcohol and glucose content in perspired human sweat for pre-diabetic and diabetic individuals to monitor their glucose levels and limiting their intake of alcohol for healthier lifestyle choices. The novelty proposed here is the combinatorial detection which is achieved through a thin film metal-oxide on metal electrode assembly wherein the thin oxide film serves as an active bio-sensing region. Bio-sensing of alcohol and glucose in human sweat mediated through a stable protein- enzyme chemistry is quantified by measuring impedance changes occurring at the liquid- electrode interface as a result of formation of electrical double layer (EDL). Binding events cause a charge perturbation, thereby modulating the electrical double layer (EDL) which contribute to the capacitive changes in the overall impedance change. Non-faradaic electrochemical impedance spectroscopy (EIS) is the signal transduction mechanism used to detect the presence of glucose and alcohol in human sweat within the established physiological relevant ranges. The findings of our study allowed us to distinguish the effects of alcohol on low, normal, and high glucose levels prior to and post alcohol consumption.
Ashlesha Bhide– PhD student, University of Texas At Dallas, Plano, TX
University of Texas At Dallas
As a PhD student in the Bio-engineering department of UT Dallas, my research is focused towards developing a biosensor for the non-invasive detection of alcohol and glucose in human sweat for low-cost, wearable diagnostics.