Literature DB >> 8788096

Comparison of models of odor interaction.

W S Cain1, F T Schiet, M J Olsson, R A de Wijk.   

Abstract

Subjects rated the overall perceived intensity of concentrations of the odorants cineole, geraniol, hexyl salicylate, and linalyl acetate smelled alone and in binary mixtures. The subjects also rated intensity of specified constituents (e.g. amount of cineole in cineole, and in mixtures of cineole and linalyl acetate). The intensity of the stronger component alone offered a close description of perceived intensity. In addition to the Stronger Component model, two other psychological models (Vector and U model) and two psychophysical models (UPL2 and Equiratio Mixture model) offered descriptions ranging from fair to very good. Psychological models gave better fits, but lack explanatory power. Some results indicated that weaker odors add more potently than stronger odors, an outcome incompatible with these models. The psychophysical models, based on the additivity of single components, generally overestimated perceived intensity. Judgments of individual qualities gave only slight encouragement to any expectation of differences in masking or maskability among odorants. The results highlight the need to test particular critical hypotheses regarding how people perceive mixtures.

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Year:  1995        PMID: 8788096     DOI: 10.1093/chemse/20.6.625

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


  11 in total

1.  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

2.  Perception of specific trigeminal chemosensory agonists.

Authors:  J Frasnelli; J Albrecht; B Bryant; J N Lundström
Journal:  Neuroscience       Date:  2011-05-07       Impact factor: 3.590

3.  Perceived annoyance from environmental odors and association with atmospheric ammonia levels in non-urban residential communities: a cross-sectional study.

Authors:  Victoria Blanes-Vidal; Esmaeil S Nadimi; Thomas Ellermann; Helle V Andersen; Per Løfstrøm
Journal:  Environ Health       Date:  2012-04-18       Impact factor: 5.984

4.  Research on odor interaction between aldehyde compounds via a partial differential equation (PDE) model.

Authors:  Luchun Yan; Jiemin Liu; Chen Qu; Xingye Gu; Xia Zhao
Journal:  Sensors (Basel)       Date:  2015-01-28       Impact factor: 3.576

5.  Findings and Recommendations From the Joint NIST-AGA Workshop on Odor Masking.

Authors:  Nancy Rawson; Ali Quraishi; Thomas J Bruno
Journal:  J Res Natl Inst Stand Technol       Date:  2011-12-11

6.  The Regular Interaction Pattern among Odorants of the Same Type and Its Application in Odor Intensity Assessment.

Authors:  Luchun Yan; Jiemin Liu; Shen Jiang; Chuandong Wu; Kewei Gao
Journal:  Sensors (Basel)       Date:  2017-07-13       Impact factor: 3.576

7.  Neural coding of binary mixtures in a structurally related odorant pair.

Authors:  Georgina Cruz; Graeme Lowe
Journal:  Sci Rep       Date:  2013-02-05       Impact factor: 4.379

Review 8.  International issues on human health effects of exposure to chemical mixtures.

Authors:  Victor J Feron; Flemming R Cassee; John P Groten; Petronella W van Vliet; Job A van Zorge
Journal:  Environ Health Perspect       Date:  2002-12       Impact factor: 9.031

9.  Use of a modified vector model for odor intensity prediction of odorant mixtures.

Authors:  Luchun Yan; Jiemin Liu; Di Fang
Journal:  Sensors (Basel)       Date:  2015-03-09       Impact factor: 3.576

10.  An odor interaction model of binary odorant mixtures by a partial differential equation method.

Authors:  Luchun Yan; Jiemin Liu; Guihua Wang; Chuandong Wu
Journal:  Sensors (Basel)       Date:  2014-07-09       Impact factor: 3.576

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