Towards an artificial olfactory mucosa for improved odour classification
Gardner, J. W., Covington, James A., Tan, Su-Lim and Pearce, Timothy C.. (2007) Towards an artificial olfactory mucosa for improved odour classification. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol.463 (No.2083). pp. 1713-1728. ISSN 1364-5021Full text not available from this repository.
Official URL: http://dx.doi.org/10.1098/rspa.2007.1844
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.
|Item Type:||Journal Article|
|Divisions:||Faculty of Science > Engineering|
|Journal or Publication Title:||Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences|
|Publisher:||The Royal Society|
|Official Date:||8 July 2007|
|Number of Pages:||16|
|Page Range:||pp. 1713-1728|
|Access rights to Published version:||Restricted or Subscription Access|
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