Literature DB >> 19620388

Odor interaction between Bourgeonal and its antagonist undecanal.

Malin Brodin1, Matthias Laska, Mats J Olsson.   

Abstract

The perceived quality of a binary mixture will, as a rule of thumb, be dominated by the quality of the stronger unmixed component. On the other hand, there are mechanisms that, in theory, suggest that this will not always be true; one example being receptor antagonism. Undecanal has been indicated as an antagonist for bourgeonal-sensitive receptors in the human olfactory epithelium. Therefore, we investigated mixtures of isointense concentrations of bourgeonal and undecanal and, as a control, mixtures of isointense concentrations of bourgeonal and n-butanol. Both mixture types were investigated at 2 levels of concentration. The particular aim was to see if the bourgeonal-undecanal mixtures would exhibit asymmetric odor quality favoring the perception of the antagonist and the control mixture would not. For the control mixture, indeed odor quality tended to be dominated by the strongest component before mixing as would be suggested from previous studies. In line with the hypothesis, the bourgeonal-undecanal mixture was dominated by the antagonist's quality, but only when mixed at higher concentrations, altogether suggesting the effects of a low-affinity receptor antagonism. This is, to our knowledge, the first demonstration of how antagonistic interaction at the level of the receptor can affect the perception of odor mixtures in humans.

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Year:  2009        PMID: 19620388     DOI: 10.1093/chemse/bjp044

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


  7 in total

1.  Characterizing olfactory binary mixture interactions in Fischer 344 rats using behavioral reaction times.

Authors:  Wendy M Yoder; Leslie Gaynor; Ethan Windham; Michelle Lyman; Olivia Munizza; Barry Setlow; Jennifer L Bizon; David W Smith
Journal:  Chem Senses       Date:  2015-04-15       Impact factor: 3.160

2.  Psychometric functions for ternary odor mixtures and their unmixed components.

Authors:  Toshio Miyazawa; Michelle Gallagher; George Preti; Paul M Wise
Journal:  Chem Senses       Date:  2009-09-22       Impact factor: 3.160

3.  Temporal coding of odor mixtures in an olfactory receptor neuron.

Authors:  Chih-Ying Su; Carlotta Martelli; Thierry Emonet; John R Carlson
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-07       Impact factor: 11.205

4.  Modulation of the combinatorial code of odorant receptor response patterns in odorant mixtures.

Authors:  Claire A de March; William B Titlow; Tomoko Sengoku; Patrick Breheny; Hiroaki Matsunami; Timothy S McClintock
Journal:  Mol Cell Neurosci       Date:  2020-02-12       Impact factor: 4.314

5.  Weaker ligands can dominate an odor blend due to syntopic interactions.

Authors:  Daniel Münch; Benjamin Schmeichel; Ana F Silbering; C Giovanni Galizia
Journal:  Chem Senses       Date:  2013-01-10       Impact factor: 3.160

6.  Computational Approaches for Decoding Select Odorant-Olfactory Receptor Interactions Using Mini-Virtual Screening.

Authors:  K Harini; Ramanathan Sowdhamini
Journal:  PLoS One       Date:  2015-07-29       Impact factor: 3.240

Review 7.  The perception of odor objects in everyday life: a review on the processing of odor mixtures.

Authors:  Thierry Thomas-Danguin; Charlotte Sinding; Sébastien Romagny; Fouzia El Mountassir; Boriana Atanasova; Elodie Le Berre; Anne-Marie Le Bon; Gérard Coureaud
Journal:  Front Psychol       Date:  2014-06-02
  7 in total

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