Olfaction and Taste XI pp 694-698 | Cite as
Odor-Sensing System Using QCM Gas Sensors and an Artificial Neural Network
Abstract
In various fields, odor sensors or odor-sensing systems are widely in demand. Gas chromatography is an established way of analyzing odors and can reveal their detailed molecular components. Coffee flavor, for example, was found to be composed of more than 400 kinds of molecules. However, a gas chromatographic measurement cannot identify an odor, at least not directly. Moreover, it has the disadvantage of long measurement time (usually a few hours). In contrast, a human can identify an odor sort (coffee flavor, for example) as soon as it is smelled. Bio-mimicking would be one of the best ways to realize odor sensors. Odorant molecules are adsorbed at a bilayer lipid membrane in an olfactory receptor, which does not show strong specificity. Output patterns from many receptors with slighly different characteristics are processed by an olfactory neuron network for odor identification.
Key words
Odor sensor QCM Artificial neural networkPreview
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