![]() ![]() For a user-friendly interface, a signal conditioning unit and an alarm system for diabetes detection were also built. Analytical modeling was also developed to analyze the effect of the change in acetone concentration on the resistance of the sensing layer. Comprehensive finite element analysis of the sensor was performed for different operating temperatures and gas concentrations ranging from 1 to 40 ppm in order to analyze diverse diabetes mellitus conditions. ![]() For an acetone concentration in the range of 5–40 ppm, the results from the simulated sensor showed good agreement with the real sensor, with some anomalies due to the practical conditions in the real chamber and the simulation tool. The sensitivity of NiO towards acetone gas was analyzed using COMSOL Multiphysics and the results were compared with experimental data. In this work, nickel oxide (NiO) is used as the sensing material for detecting acetone. Among the various gas sensors, semiconductor metal oxide-based gas sensors have garnered research interest because of advantages such as fabrication simplicity, low cost, and low power consumption. Much research has been focused on developing a noninvasive technique for diabetes detection. The presence of acetone gas in human exhaled breath is an important test for the detection of diabetes. ![]()
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September 2023
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