| 첨가제 및 패턴인식에 의한 후막 SnO2 가스센서의 선택성 향상 |
| 정해원, 김종명, 박희숙, 윤기현1 |
국방과학연구소
1연세대학교 세라믹공학과 |
| The Enhancement of Selectivity in Thick Film SnO2 Gas Sensors by Additives and Pattern Recognition |
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| ABSTRACT |
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The Sn $O_2$-based gas sensors can detect inflammable and toxic gases of low concentration by the modulation of surface resistance, but they lack in selectivity on the whole. To give selectivity to the Sn $O_2$-based gas sensors, studies on the sensing mechanism, selective gas sensing materials and signal processing techniques are demanded. Ethanol (C$_2$ $H_{5}$OH) and acetonitrile ($CH_3$CN) were confirmed to undergo catalytic oxidation on Sn $O_2$ by gas chromatography. PdCl$_2$-doped Sn $O_2$ showed excellent sensitivity to ethanol and acetonitrile, while La$_2$ $O_3$-doped Sn $O_2$ showed excellent sensitivity to ethanol, but poor sensitivity to acetonitrile. Using these two sensors and pattern recognition, the selectivity to acetonitrile is greatly enhanced. The minimum detection level of acetonitrile was 15 ppm in air and 20 to 100 ppm when exposed to interfering gases together with acetonitrile. |
| Key words:
Tin oxide, Gas Sensor, Acetonitrile, Pattern recognition, Thick film |
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