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Increasing the selectivity of commercially available tin oxide based gas sensors for monitoring combustible gases in process environments

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2 Author(s)
Hawk, Roger M. ; Department of Applied Sciences, University of Arkansas at Little Rock, Little Rock, Arkansas 72204 ; Narayanaswamy, Arvind

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Tin oxide (SnO2) is one of the most popular metal oxide semiconductors used as a gas sensor. Commercial sensors that use tin oxide are inexpensive and readily available. Computer controlled thermal cycling techniques were used with only one sensor to collect a series of conductance surfaces for various compounds versus concentration. These patterns were treated as inputs to a neural network program that was trained to associate particular patterns to a specific compound. When the neural network was successfully trained to recognize pure patterns, the network was presented with a conductance pattern from a combination of compounds to test if the neural network could identify the constituents. This analysis method allowed the qualitative recognition of the different gases in a mixture or in one single gas. The results using a one sensor approach for the neural network identification of methanol, isopropanol, and hexane are presented and discussed. This, to our knowledge, is the first attempt to use data from a single sensor and process it via a neural network program to identify gases found in process environments. © 1995 American Vacuum Society

Published in:

Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films  (Volume:13 ,  Issue: 3 )