Micro Gas Sensors for Detection of Acetone for Non-Invasive Diabetes Monitoring

Abstract

The Metal Oxide Semiconductor sensor has the ability to detect volatile organic compound gases in human exhaled breath as a result of metabolic processes and to calculate diabetes levels in a non-invasive manner. In comparison to non-diabetic people, diabetic people have peak acetone levels in exhaled air. One can measure the degree of diabetes by calculating the concentration of acetone in a volatile organic compound. Using COMSOL multiphysics software, we were able to model and simulate an acetone-based SnO2 gas sensor by solving Poisson's equations under related boundary conditions of mass, heat, and electrical transitions. Using COMSOL multiphysics software, we were able to model and simulate an acetone-based SnO2 gas sensor. An exposure model was used to show the necessary acetone, a heat transfer model was used to determine the reaction temperature, and an electric model was used to complete the simulation.