Literature DB >> 17220517

Numerical modeling of odorant uptake in the rat nasal cavity.

Geoffrey C Yang1, Peter W Scherer, Kai Zhao, Maxwell M Mozell.   

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.

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Year:  2007        PMID: 17220517     DOI: 10.1093/chemse/bjl056

Source DB:  PubMed          Journal:  Chem Senses        ISSN: 0379-864X            Impact factor:   3.160


  16 in total

1.  Airflow and nanoparticle deposition in rat nose under various breathing and sniffing conditions: a computational evaluation of the unsteady effect.

Authors:  Jianbo Jiang; Kai Zhao
Journal:  J Aerosol Sci       Date:  2010-11-01       Impact factor: 3.433

2.  How much does nasal cavity morphology matter? Patterns and rates of olfactory airflow in phyllostomid bats.

Authors:  Thomas P Eiting; J Blair Perot; Elizabeth R Dumont
Journal:  Proc Biol Sci       Date:  2015-02-07       Impact factor: 5.349

Review 3.  All in a sniff: olfaction as a model for active sensing.

Authors:  Matt Wachowiak
Journal:  Neuron       Date:  2011-09-21       Impact factor: 17.173

4.  Tuning to odor solubility and sorption pattern in olfactory epithelial responses.

Authors:  John W Scott; Lisa Sherrill; Jianbo Jiang; Kai Zhao
Journal:  J Neurosci       Date:  2014-02-05       Impact factor: 6.167

5.  Sensory Biology: Novel Peripheral Organization for Better Smell.

Authors:  Crystal M Wall; Haiqing Zhao
Journal:  Curr Biol       Date:  2015-10-05       Impact factor: 10.834

Review 6.  The way the wind blows: implications of modeling nasal airflow.

Authors:  Kai Zhao; Pamela Dalton
Journal:  Curr Allergy Asthma Rep       Date:  2007-05       Impact factor: 4.806

7.  Testing the sorption hypothesis in olfaction: a limited role for sniff strength in shaping primary odor representations during behavior.

Authors:  Tristan Cenier; John P McGann; Yusuke Tsuno; Justus V Verhagen; Matt Wachowiak
Journal:  J Neurosci       Date:  2013-01-02       Impact factor: 6.167

8.  An Olfactory Cilia Pattern in the Mammalian Nose Ensures High Sensitivity to Odors.

Authors:  Rosemary C Challis; Huikai Tian; Jue Wang; Jiwei He; Jianbo Jiang; Xuanmao Chen; Wenbin Yin; Timothy Connelly; Limei Ma; C Ron Yu; Jennifer L Pluznick; Daniel R Storm; Liquan Huang; Kai Zhao; Minghong Ma
Journal:  Curr Biol       Date:  2015-09-10       Impact factor: 10.834

9.  Interplay between sniffing and odorant sorptive properties in the rat.

Authors:  Daniel Rojas-Líbano; Leslie M Kay
Journal:  J Neurosci       Date:  2012-10-31       Impact factor: 6.167

10.  The influence of nasal airflow on respiratory and olfactory epithelial distribution in felids.

Authors:  Benison Pang; Karen K Yee; Fritz W Lischka; Nancy E Rawson; Mark E Haskins; Charles J Wysocki; Brent A Craven; Blaire Van Valkenburgh
Journal:  J Exp Biol       Date:  2016-04-04       Impact factor: 3.312

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