Please use this identifier to cite or link to this item:
Title: Towards an artificial olfactory mucosa for improved odour classification
Authors: Gardner, J. W.
Covington, J. A.
Tan, S.-L.
Pearce, Timothy Charles
First Published: 8-Jul-2007
Publisher: The Royal Society
Citation: Proceedings of the Royal Society A : Mathematical, Physical and Engineering Sciences, 2007, 463 (2083), pp. 1713-1728
Abstract: Here, we report on a biologically inspired analytical system that represents a new concept in the field of machine olfaction. Specifically, this paper describes the design and fabrication of a novel sensor system, based upon the principle of 'nasal chromatography', which emulates the human olfactory mucosa. Our approach exploits the physical positioning of a series of broadly tuned sensors (equivalent to the olfactory epithelium) along the length of a planar chromatographic channel (analogous to the thin mucus coating of the nasal cavity) from which we extract both spatial (response magnitude) and temporal (retentive delay) sensor signals. Our study demonstrates that this artificial mucosa is capable of generating both spatial and temporal signals which, when combined, create a novel spatio-temporal representation of an odour. We believe that such a system not only offers improved odour discrimination over a sensor array-based electronic nose, but also shorter analysis times than conventional gas chromatographic techniques.
DOI Link: 10.1098/rspa.2007.1844
ISSN: 1364-5021
eISSN: 1471-2946
Type: Journal Article
Description: Full text of this item is not currently available on the LRA. The final published version may be available through the links above.
Appears in Collections:Published Articles, Dept. of Engineering

Files in This Item:
There are no files associated with this item.

Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.