Non-invasive monitoring of Diabetes through analysis of the exhaled breath by electronic nose

This paper reveals the development and design of an electronic nose prototype for non-invasive diabetes detection based on measurement of the exhaled breath. This system consists of eight metal oxide gas sensors covering the sensing range for the volatile organic compounds (VOCs) existed in human’s exhaled breath. These platforms can be integrated the facemask connected to electronic nose device which used to realtime monitoring. This prototype offers platforms that can be applied to investigate the monitoring exhaled breath human, which have potential to monitoring human health. The experiment obtained the optimizing the condition to detect the exhaled breath. Preliminary results with prototype electronic nose to detect the exhaled breath. It shows an excellent performance to detect an exhaled breath sample. Moreover, it has successfully to discriminate the exhaled breath pattern of diabetes and healthy controls. Soon, this approach may become particularly useful in health application to serve as a noninvasive device for screening patients with diabetes.