Characterization Studies of a GC-based SAW Sensor System for Potential Detection and Identification of Toxic Environmental Gases/Vapors
J. Environ. Nanotechnol., Volume 10, No 4 (2021) pp. 01-07
Abstract
The characterization of a custom-designed GC-based Surface Acoustic Wave (SAW) e-Nose sensor system is presented here to study the sensing ability of the sensor system to detect and identify low medium and high toxic vapors. A semi-automated multi-vapor generator generated vapors of chemical compounds which were then exposed to the sensing system to examine its performance under various concentrations. Time-domain vs. frequency response of GC-SAW sensor was noted for repeated cycles against different chemical compounds like xylene, 1, 2 dibromoethane, dimethyl sulfate, triethyl phosphate, nitrobenzene, phosphorous trichloride being tested. The generated data was examined using a Principal Component Analysis (PCA) technique to detect a unique response for every individual chemical compound. Experimental results were reported.
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