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Proceedings Paper

Optical arrays and pattern recognition in the design of an artificial nose
Author(s): Todd A. Dickinson; Suneet Chadha; David R. Walt; Joel White; John S. Kauer
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Paper Abstract

Array sensors capable of multi-vapor discrimination have been developed that employ fiber optic bundles, CCD cameras, and artificial neural network processing. Sensors have been constructed both through spatial deposition of dye-containing photopolymers on an imaging fiber, and via individual polymer/dye coatings placed on individual single-core fibers and then bundled. Cross-reactive sensing regions are created by using a variety of polymers. The resulting array is then challenged with a variety of analytes. Vapor pulses give rise to temporal response patterns which are used to train a neural network. The final sensor array system can identify subsequent challenges with the analyte over extended periods of time with up to 100% accuracy. The sensor can also characterize analytes on the basis of functional groups and molecular weight, and is capable of identifying components of mixtures.

Paper Details

Date Published: 24 April 1996
PDF: 3 pages
Proc. SPIE 2676, Biomedical Sensing, Imaging, and Tracking Technologies I, (24 April 1996); doi: 10.1117/12.238810
Show Author Affiliations
Todd A. Dickinson, Tufts Univ. (United States)
Suneet Chadha, Tufts Univ. (United States)
David R. Walt, Tufts Univ. (United States)
Joel White, Tufts Univ. School of Medicine (United States)
John S. Kauer, Tufts Univ. School of Medicine (United States)


Published in SPIE Proceedings Vol. 2676:
Biomedical Sensing, Imaging, and Tracking Technologies I
Robert A. Lieberman; Halina Podbielska; Tuan Vo-Dinh, Editor(s)

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