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An Experimental Biomimetic Platform for Artificial Olfaction

Overview of attention for article published in PLOS ONE, September 2008
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Title
An Experimental Biomimetic Platform for Artificial Olfaction
Published in
PLOS ONE, September 2008
DOI 10.1371/journal.pone.0003139
Pubmed ID
Authors

Corrado Di Natale, Eugenio Martinelli, Roberto Paolesse, Arnaldo D'Amico, Daniel Filippini, Ingemar Lundström

Abstract

Artificial olfactory systems have been studied for the last two decades mainly from the point of view of the features of olfactory neuron receptor fields. Other fundamental olfaction properties have only been episodically considered in artificial systems. As a result, current artificial olfactory systems are mostly intended as instruments and are of poor benefit for biologists who may need tools to model and test olfactory models. Herewith, we show how a simple experimental approach can be used to account for several phenomena observed in olfaction. An artificial epithelium is formed as a disordered distributed layer of broadly selective color indicators dispersed in a transparent polymer layer. The whole epithelium is probed with colored light, imaged with a digital camera and the olfactory response upon exposure to an odor is the change of the multispectral image. The pixels are treated as olfactory receptor neurons, whose optical properties are used to build a convergence classifier into a number of mathematically defined artificial glomeruli. A non-homogenous exposure of the test structure to the odours gives rise to a time and spatial dependence of the response of the different glomeruli strikingly similar to patterns observed in the olfactory bulb. The model seems to mimic both the formation of glomeruli, the zonal nature of olfactory epithelium, and the spatio-temporal signal patterns at the glomeruli level. This platform is able to provide a readily available test vehicle for chemists developing optical indicators for chemical sensing purposes and for biologists to test models of olfactory system organization.

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Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Portugal 1 2%
Unknown 39 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Professor 5 12%
Student > Bachelor 4 10%
Researcher 4 10%
Professor > Associate Professor 4 10%
Other 8 20%
Unknown 6 15%
Readers by discipline Count As %
Engineering 10 24%
Agricultural and Biological Sciences 6 15%
Medicine and Dentistry 4 10%
Chemistry 4 10%
Physics and Astronomy 3 7%
Other 8 20%
Unknown 6 15%