About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
|
Symposium
|
Advanced Materials for Energy Conversion and Storage 2023
|
Presentation Title |
Study of the Efficacy of a Perovskite Sensor-Based Non-Invasive Glucose Monitoring System Using Infrared Light Intensity Correlations: Towards the Development of Measurement Metrics Using Data Analytics |
Author(s) |
David Ryman, Muhilan Manimaran, Prakhyat Gautam, Darwyn Ward, Luke Davis, Brent Yang, Diana Mendoza Govea, Carlos Marcos Moreno, Anmol Randhawa, Edgar Perez-Lopez, Saquib Ahmed, Sankha Banerjee |
On-Site Speaker (Planned) |
Prakhyat Gautam |
Abstract Scope |
A proof-of-concept glucose monitoring sensor circuit was designed with the goal of producing a correlation between the signal detected by a photodiode module after infrared light had refracted through a glucose solution, and the concentration of that solution. This circuit was controlled by an Arduino MEGA microcontroller and data on sensor output vs time was stored on a flash drive. However, no clear correlation was found among several iterations of tests. Possible explanations include: heat generation in the LED, issues related to the dispersed nature of LEDs, imprecision of the photodiode module, poor alignment between the photodiode module and LED, and data from a continuous LED signal has limited correlation potential compared to the same from a pulse signal. Several modifications to the circuit and components are proposed to address these issues in including using inorganic perovskite-based optoelectronic sensors. |
Proceedings Inclusion? |
Planned: |
Keywords |
Electronic Materials, Characterization, Energy Conversion and Storage |