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Proceedings Paper

Optimization of composite polymer gas sensor arrays for single-analyte multiple-interferent applications
Author(s): Denise M. Wilson
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Paper Abstract

Results for optimizing an array of composite polymer gas sensors for sensing one of five analytes in the presence of up to four interferents are presented. The optimized array consists of a heterogeneous array of up to ten points (unlike sensors) in multi-dimensional sensor space. The optimization techniques presented here are linear, since the composite polymer sensors in their useful (low concentration) operating range exhibit linear and additive response characteristics. The optimization of these arrays produces maximum separability between analytes, demonstrating the trade-off between the addition of both information and variability induced by increasing the size of the heterogeneous array. Optimization results for sensing acetone, hexane, thf, toluene, and ethanol in the presence of interferents result in array sizes that are significantly less than the maximum available number of sensors (10). This result adds fuel to the argument that fewer sensors are better; the argument for more sensors is also made in the context of the electronic nose systems where significant chemical diversity is required.

Paper Details

Date Published: 22 February 2002
PDF: 8 pages
Proc. SPIE 4576, Advanced Environmental Sensing Technology II, (22 February 2002); doi: 10.1117/12.456959
Show Author Affiliations
Denise M. Wilson, Univ. of Washington (United States)


Published in SPIE Proceedings Vol. 4576:
Advanced Environmental Sensing Technology II
Tuan Vo-Dinh; Stephanus Buettgenbach, Editor(s)

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