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T-00435: Development of Breathing Sensor using Molecular Imprinted Filtering Layer in Selective Detection of Acetone and Ethanol as Diabetes and Alcohol Biomarker

Background: Breath analysis has the potential for early stage detection and monitoring/sensing of acetone in diabetic patients, and ethanol in alcoholics. The investigation of human breath samples, with traditional analytical methods have shown a correlation of erratic compounds with the occurrence of specific illness. The appearance of those specific compounds, (“biomarkers”) can provide an indication to physiological breakdown, and therefore, aid in the diagnosis of sickness. Breathing sensor systems promises quite a good number of advantages, but most commercially produced sensors are not good in real time measurement, due to moisture, CO2 and other kinds of air particles.

Description: Graphene based Breathing sensors with significant selectivity for acetone and ethanol to diabetic and alcoholic patients, using molecular imprinted filter layers, have been developed. In comparison to the commercially produced diabetes and alcohol sensors, these designed prototypes are indeed very much reliable with short detection and moderate recuperation time. These sensors will detect the acetone and ethanol molecules, with the aid of the molecular imprinted layer, which in fact acts like a filter, only permitting acetone molecules for acetone sensing, and ethanol molecules for alcohol sensing. This sensing principle is on the bases of graphene adsorption (adhesion of atoms, ions, or molecules from a gas, liquid, or dissolved solid to a surface.) phenomena.

Advantages:

  • These designed sensors can detect 0 – 10 ppm (Parts per million) acetone, 130 to 208 ppm ethanol, and even more range.
  • Quick response time in 3 seconds, and recuperation time on average of 20 – 40 seconds
  • The acetone/ethanol sensitivity of the sensor, is reliable (90-95%) with longevity of 40 days. Plus, it has very good sensitivity in ambient environment.