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Chemical Senses Advance Access originally published online on January 13, 2007
Chemical Senses 2007 32(3):273-284; doi:10.1093/chemse/bjl056
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© The Author 2007. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org

Numerical Modeling of Odorant Uptake in the Rat Nasal Cavity

Geoffrey C. Yang1,2, Peter W. Scherer1, Kai Zhao1 and Maxwell M. Mozell3

1 Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA 3 Department of Neuroscience and Physiology, State University of New York, Upstate Medical University, Syracuse, NY 13210, USA 2 Present address: Affymetrix, Inc., 3420 Central Expressway, Santa Clara, CA 95051, USA

Correspondence to be sent to: Peter W. Scherer, Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, 240 Skirkanich Hall/6321, 210 South 33rd Street, Philadelphia, PA 19104, USA. e-mail: scherer{at}seas.upenn.edu


   Abstract

An anatomically accurate 3-dimensional numerical model of the right rat nasal cavity was developed and used to compute low, medium, and high flow rate inspiratory and expiratory mucosal odorant uptake (imposed patterning) for 3 odorants with different mucus solubilities. The computed surface mass flux distributions were compared with anatomic receptor gene expression zones identified in the literature. In general, simulations predicted that odorants that were highly soluble in mucus were absorbed dorsally and medially, corresponding roughly to receptors from one of the gene expression zones. Insoluble odorants tended to be absorbed more peripherally in the rat olfactory region corresponding to the other 2 zones. These findings also agreed in general with the electroolfactogram measurements and the voltage-sensitive dye measurements reported in the literature. This numerical approach is the first to predict detailed odorant flux information across the olfactory mucosa in the rat nasal cavity during inspiratory and expiratory flow and to relate it to anatomic olfactory receptor location, physiological function, and biochemical experiment. This numerical technique can allow us to separate the contributions of imposed and inherent patterning mechanisms on the rat olfactory mucosa.

Key words: absorption, finite element analysis, mucus solubility, nasal fluid mechanics, odorant flow rate, receptor gene expression zones

Accepted 15 December 2006


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