Literature DB >> 6505070

Quality and intensity of binary odor mixtures.

D G Laing, H Panhuber, M E Willcox, E A Pittman.   

Abstract

The perceived intensity and quality of binary mixtures consisting of the common but dissimilar odorants, benzaldehyde (almond), eugenol (cloves), propionic acid (vinegar) and (-)-carvone (spearmint), were determined over a wide range of environmentally relevant concentrations. Consistent data were obtained from each of the odor pairs. This showed that the intensity of odorants not their quality determined the contribution of each to the quality of a mixture. Except for the pair carvone-propionic acid, both odorants were perceived only when the difference between their intensities was small. The results confirmed an earlier finding that the total intensity of a mixture is less than the sum of the intensities of the two components, and also showed that it is never less than the intensity of the weaker component. Seven major characteristics of binary odor mixtures are defined.

Entities:  

Mesh:

Year:  1984        PMID: 6505070     DOI: 10.1016/0031-9384(84)90118-5

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  28 in total

1.  Peripheral odor coding in the rat and frog: quality and intensity specification.

Authors:  P Duchamp-Viret; A Duchamp; M A Chaput
Journal:  J Neurosci       Date:  2000-03-15       Impact factor: 6.167

Review 2.  Position Review: Functional Selectivity in Mammalian Olfactory Receptors.

Authors:  Barry W Ache
Journal:  Chem Senses       Date:  2020-10-09       Impact factor: 3.160

3.  Configurational and elemental odor mixture perception can arise from local inhibition.

Authors:  Christiane Linster; Thomas A Cleland
Journal:  J Comput Neurosci       Date:  2004 Jan-Feb       Impact factor: 1.621

4.  Processing of odor mixtures in the zebrafish olfactory bulb.

Authors:  Rico Tabor; Emre Yaksi; Jan-Marek Weislogel; Rainer W Friedrich
Journal:  J Neurosci       Date:  2004-07-21       Impact factor: 6.167

5.  Time and intensity factors in identification of components of odor mixtures.

Authors:  Marion E Frank; Holly F Goyert; Thomas P Hettinger
Journal:  Chem Senses       Date:  2010-08-18       Impact factor: 3.160

6.  Olfactory pattern classification by discrete neuronal network states.

Authors:  Jörn Niessing; Rainer W Friedrich
Journal:  Nature       Date:  2010-04-14       Impact factor: 49.962

7.  Effects of selective adaptation on coding sugar and salt tastes in mixtures.

Authors:  Marion E Frank; Holly F Goyert; Bradley K Formaker; Thomas P Hettinger
Journal:  Chem Senses       Date:  2012-05-04       Impact factor: 3.160

8.  Intensity and the ratios of compounds in the scent of snapdragon flowers affect scent discrimination by honeybees (Apis mellifera).

Authors:  Geraldine A Wright; Amy Lutmerding; Natalia Dudareva; Brian H Smith
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2004-11-16       Impact factor: 1.836

9.  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

Review 10.  Function follows form: ecological constraints on odor codes and olfactory percepts.

Authors:  Jay A Gottfried
Journal:  Curr Opin Neurobiol       Date:  2009-08-09       Impact factor: 6.627

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