The detection of mixtures of NO{sub x}`s with hydrogen using catalytic metal films on the Sandia Robust Sensor with pattern recognition
Conference
·
OSTI ID:74023
Microsensors often do not have the selectivity to chemical species available in large laboratory instruments. A new type of pattern recognition algorithm is used to classify mixtures of H{sub 2} with NO{sub 2} and O{sub 2}. The microsensors used are thin film catalytic metal field effect transistors and chemiresistors on the Sandia Robust Sensor platform. For this study pure Pd thin films and Pd/Ni alloys are shown to provide good classification of mixtures containing NO{sub 2} from those containing O{sub 2} or no oxidant.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 74023
- Report Number(s):
- SAND-94-3162C; CONF-950650-4; ON: DE95013865
- Resource Relation:
- Conference: 8. international conference on solid-state sensors and actuators and 9th biannual international conference and annual European conference on solid-state sensors, Stockholm (Sweden), 25-29 Jun 1995; Other Information: PBD: [1994]
- Country of Publication:
- United States
- Language:
- English
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