Enhancing Vapor Sensor Discrimination by Mimicking a Canine Nasal Cavity Flow Environment

This paper discusses the use of flow dynamics in a model nasal cavity as a novel way to expand the information available from a fiber optic vapor sensor. Nasal cavities are known to play an important role in vertebrate olfaction; however, they have not previously been incorporated into gas-phase sensor technology. By exposing identical sensors to different flow environments, we found that measurements of the combined sensor responses provided increased discrimination of a series of alcohols as compared to measurements obtained from a single sensor at the anterior of the cavity. This methodology is potentially useful for improving the discriminatory power of sensors employed in “artificial noses” and could be used to model the effects of flow dynamics in vertebrate olfaction.