Literature DB >> 17488748

Human odor detection of homologous carboxylic acids and their binary mixtures.

Paul M Wise1, Toshio Miyazawa, Michelle Gallagher, George Preti.   

Abstract

Does structural similarity of odorants influence detectability of their mixtures? To address this question, psychometric (probability of correct detection vs. concentration) functions were measured for aliphatic carboxylic acids and selected binary mixtures thereof. Unmixed stimuli included acetic (C2), butyric (C4), hexanoic (C6), and octanoic (C8) acids. Mixtures included C2 + C4, C2 + C6, and C2 + C8. Vapor-phase concentrations of individual compounds, as measured by a combination of solid-phase micro extraction and gas chromatography/mass spectrometry, were always the same, whether presented singly or in a binary mixture. Additivity of detectability was assessed with respect to response addition (independent processing of mixture components). For C2 + C6, for which the mixture components differed by 4 methylene units, and C2 + C8, which differed by 6 methylene units, response addition provided a reasonably good description of detection at all levels of performance. In contrast, for C2 + C4, which differed by only 2 methylene units, detection showed a tendency to exceed additivity at low concentrations but fell below additivity at higher concentrations. These results suggest that interaction among odors in binary mixtures does depend on structural similarity, at least for detection of carboxylic acids. Future studies can determine if this result is particular to carboxylic acids.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17488748     DOI: 10.1093/chemse/bjm016

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


  8 in total

1.  Detecting gustatory-olfactory flavor mixtures: models of probability summation.

Authors:  Lawrence E Marks; Maria G Veldhuizen; Timothy G Shepard; Adam Y Shavit
Journal:  Chem Senses       Date:  2011-11-10       Impact factor: 3.160

2.  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

3.  Modeling the response of a population of olfactory receptor neurons to an odorant.

Authors:  Malin Sandström; Anders Lansner; Jeanette Hellgren-Kotaleski; Jean-Pierre Rospars
Journal:  J Comput Neurosci       Date:  2009-05-05       Impact factor: 1.621

4.  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 5.  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

6.  Structure-activity relationships on the odor detectability of homologous carboxylic acids by humans.

Authors:  J Enrique Cometto-Muñiz; Michael H Abraham
Journal:  Exp Brain Res       Date:  2010-10-08       Impact factor: 1.972

7.  Human olfactory detection of homologous n-alcohols measured via concentration-response functions.

Authors:  J Enrique Cometto-Muñiz; Michael H Abraham
Journal:  Pharmacol Biochem Behav       Date:  2008-01-07       Impact factor: 3.533

8.  Key Odorants from Pig Production Based on Improved Measurements of Odor Threshold Values Combining Olfactometry and Proton-Transfer-Reaction Mass Spectrometry (PTR-MS).

Authors:  Michael Jørgen Hansen; Pernille Lund Kasper; Anders Peter S Adamsen; Anders Feilberg
Journal:  Sensors (Basel)       Date:  2018-03-06       Impact factor: 3.576

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.