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PMID: 31649069 Published · epublish English Journal Article

Tests of the chromatographic theory of olfaction with highly soluble odors: a combined electro-olfactogram and computational fluid dynamics study in the mouse.

Biology open ·Vol. 8 ·No. 10 ·2019-10-24

Coppola DM, Fitzwater E, Rygg AD, Craven BA

Abstract

The idea that the vertebrate nasal cavity operates like a gas chromatograph to separate and discriminate odors, referred to herein as the 'chromatographic theory' (CT), has a long and interesting history. Though the last decade has seen renewed interest in the notion, its validity remains in question. Here we examine a necessary condition of the theory: a correlation between nasal odor deposition patterns based on mucus solubility and the distribution of olfactory sensory neuron odotypes. Our recent work in the mouse failed to find such a relationship even across large sorption gradients within the olfactory epithelium (OE). However, these studies did not test extremely soluble odorants or low odor concentrations, factors that could explain our inability to find supporting evidence for the CT. The current study combined computational fluid dynamics (CFD) simulations of odor sorption patterns and electro-olfactogram (EOG) measurements of olfactory sensory neuron responses. The odorants tested were at the extremes of mucus solubility and at a range of concentrations. Results showed no relationship between local odor sorption patterns and EOG response maps. Together, results again failed to support a necessary condition of the CT casting further doubt on the viability of this classical odor coding mechanism.

Keywords
Maps Odor discrimination Olfactory receptors Sorption
作者与单位
共 4 位作者,点击展开单位 / ORCID
Coppola David M ORCID
Department of Biology, Randolph-Macon College, Ashland, VA 23005, USA [email protected] [email protected].
Fitzwater Emily
Department of Biology, Randolph-Macon College, Ashland, VA 23005, USA.
Rygg Alex D
Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA 90095, USA.
Craven Brent A
Department of Mechanical and Nuclear Engineering, The Pennsylvania State University, University Park, PA 16802, USA [email protected] [email protected].
Article Info
Journal
Biology open
Abbr.
Biol Open
ISSN
2046-6390
Published
2019-10-24
电子出版
2019-00-24
Language
English
Country/Region
England
NLM ID
101578018
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