INNOVATIVE METHOD FOR THE DIAGNOSIS of DISEASES: E NOSE

Abstract

E-nose systems can be used in different applications which are varying from explosive and chemical hazardous detection to health applications using breath analysis such as lung cancer, and Covid -19 diagnosis. One of the best practices of the E-nose application is breath analysis for disease diagnosis. Exhaled breath is a mixture of water and Volatile Organic Compounds (VOCs) in very low concentration which was shown via Gas Chromatography(GC) or other possible technologies. Electronic Nose (E-Nose) seems to be the best solution to the development of analyzing system for diagnosis using breath. Conventional E-nose incorporates non-selective gas sensors that are called sensor array and data recognition part which having artificial intelligence algorithm. Due to the performance of gas sensors is negativily effected by the humidity in the environment, the most important problem encountered in practice is the negative effects of uncontrollable external effects such as humidity on the E-nose system.
In this study, a CaCl2 tube was equipped to the gas inlet of the E Nose system to reduce the effect of variable humidity in environments. The tube enabled that only the gas of interest passes onto the sensors and trap the ambient humidity. Positive results on sensor responses are shown by using PCA method. It is assumed that this approach will make significant contributions to the development of methods based on breath analysis.

Keywords

• Gas Sensor
• Disease Diagnosis
• VOC Detection
• SAW Sensor
• E-Nose

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