Title :
SiC gas sensor arrays for extreme environments
Author :
Roy, Sandip Kumar ; Furnival, B.J.D. ; Wood, N.G. ; Vassilevski, K.V. ; Wright, N.G. ; Horsfall, A.B. ; O´Malley, C.J.
Author_Institution :
Sch. of Electr. & Electron. Eng., Newcastle Univ., Newcastle upon Tyne, UK
Abstract :
For the first time SiC-based gas sensor arrays have been demonstrated, which are capable of discriminating gas species under harsh environments. The structures utilise either a TiO2 or HfO2 dielectric layer and a Pt or Pd catalytic contact. We show that the defects in the dielectric dominate the response to hydrogen and oxygen, resulting in array behaviour, without the need for large numbers of catalytic metals. Simple multiple linear regression techniques can be used with the array to provide a real time prediction of the gas contents of a mixture.
Keywords :
catalysts; dielectric materials; gas sensors; regression analysis; sensor arrays; silicon compounds; wide band gap semiconductors; HfO2; Pt; SiC; TiO2; catalytic contact; catalytic metal; dielectric layer; extreme environment; gas content; gas sensor array; multiple linear regression technique; Dielectrics; Gas detectors; Hafnium compounds; Hydrogen; Sensor arrays; Silicon carbide;
Conference_Titel :
SENSORS, 2013 IEEE
Conference_Location :
Baltimore, MD
DOI :
10.1109/ICSENS.2013.6688186