volatile organic compounds sensor system for early diagnosis of Alzheimer's disease

• Online Access: http://hdl.handle.net/2047/D20317895

Our goal is to make electrochemical sensor system for measuring the resistance changes of molecularly imprinted polymer (MIP) electrochemical sensors, which sense the volatile organic compounds (VOC) from the breath, and provide health condition on Alzheimer's disease based on the VOC sensor reading of the change of the sensor resistance. At the first stage, we started with Raspberry Pi 3B+ and tried RC time constant method but failed to get satisfying results. Next, we used three kinds of analog to digital converters (ADC) separately to measure the voltages at a voltage divider and calculated the resistance changes. From an ADC module ADS1115 and an ADC module ADS1256 respectively, the results were good. The health sensor resistance or condition data could be displayed on an android device by sending it through bluetooth from Raspberry Pi. At the second stage, we decided to make a smaller and cheaper device. We chose an Arduino Pro Mini evaluation board, a four channel ADC module and an HC-05 bluetooth module to make our prototype. This work provide the first step toward a compact AZ Breath sensor system for early diagnosis of Alzheimer's disease.