An alternative model of olfactory quantitative interaction in binary mixtures

Patte, François; Laffort, Paul

doi:10.1093/chemse/4.4.267

Cited by 67 publications

(57 citation statements)

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“…17 Tau (τ) reflects the relative proportion of perceived intensity of fruity or woody unmixed odorant (I F or I W ) in the binary mixture: τ = I FR /(I FR + I WO ), where I FR and I WO are the perceived odour intensity of fruity and woody odorants not in a mixture. When τ = 0.5, the mixture is iso-intense.…”

Section: Data Graphical Representationmentioning

confidence: 99%

Perceptual interactions between fruity and woody notes of wine

Atanasova

Thomas‐Danguin

Langlois

et al. 2004

Flavour & Fragrance J

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The quantitative olfactory interactions in three binary mixtures of wine aroma compounds were studied. For the first two mixtures, whisky lactone (woody note) was mixed separately with two esters (fruity note), ethyl butyrate and isoamyl acetate. For the third mixture, guaiacol (woody note) was mixed with ethyl butyrate (fruity note). Perceived odour intensity of 24 stimuli (four supra-threshold concentration levels of two compounds and the respective 16 mixtures) were evaluated in five replications, by a trained panel of 13 subjects. The results showed that for the three binary mixtures studied, quantitative perceptual interactions were non-level independent, non-symmetrical, and reached the compromise level of hypo-addition. The experimental data highlighted that generally mixtures with high whisky lactone levels led to the compromise level of mixture intensity perception, whereas mixtures with high fruity note intensity proportions did not. A tendency to hyper-addition was observed in iso-intense mixtures only at the lowest intensity level.

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Section: Data Graphical Representationmentioning

confidence: 99%

Perceptual interactions between fruity and woody notes of wine

Atanasova

Thomas‐Danguin

Langlois

et al. 2004

Flavour & Fragrance J

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“…of identifying the mixtures as A, B, and AB were determined ( Figure 1). For this purpose, a ratio of subjective values was used representing the relative component intensity (T) introduced by Patte and Laffort (1979). The ratio provides information about the relation between the perceived intensities of the two components when presented separately (RA and RB):…”

Section: Odor Mixture Qualitymentioning

confidence: 99%

An interaction model for odor quality and intensity

Olsson

1994

Perception & Psychophysics

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The perceived intensity and quality of binary odor mixtures are studied in relation to how their components are perceived when presented separately. Subjects judged the perceived intensity and quality of 6 concentrations of pyridine, 6 concentrations of n-butanol, and their 36 possible combinations. The results show that the perceived intensity ofthe mixture can be predicted from the perceived intensity of its components presented separately (R A and R B ) by the Euclidian arithmetic model. The maximum probability of identifying a mixture as a "mixture" is reached when R A and RB are equally strong. An interaction model for mixtures that relates perceived intensity and quality is presented and tested. The test reveals that both the perceived intensity of a mixture and the probability that it will be identified as the one or the other component can, by a simple interaction model, be successfully predicted from RA and RB• What do we perceive when more than one odorant is presented at the same time? Around the turn of the century, this question became quite controversial due to the substantial contributions of Zwaardemaker (1895, 1900/1959, 1907, 1930; for a review, see Olsson, 1993). He advocated that the mixture of two suprathreshold odors, even quite strong ones, are able to suppress each other to an odorless mixture when they are mixed in certain proportions. Zwaardemaker argued that this phenomenon, which he called compensation, was the olfactory analogue to how complementary colors form white light when different wavelengths are combined. However, several authors questioned the existence of compensation (e.g., Henning, 1924Henning, , 1926Nagel, 1897; Skramlik, 1926).Several decades later, attention was again given to odorquality interaction. The related question of whether the components are perceived in the mixture or form a new odor was revived. It has now been investigated with a number of methods, some of which imply different definitions of the problem, and the results have been diverse (e.g., Jellinek & Koster, 1979;Laing & Francis, 1989; Mitchell & McBride, 1971;Moskowitz & Barbe, 1977; Schiet & Frijters, 1988;Schwartz, Rabin, & Cain, 1987). Independent of the type of mixture percept, the mixture quality frequently seems to be intermediate to the quality of its component odors when presented separately (Ekman & Engen, 1962;Gregson, 1980;Moskowitz, 1976;Moskowitz & Barbe, 1977 Typically, the hedonic value of an odor emerges in the first dimension of the odor space as revealed in a multidimensional scaling experiment, and it may be the most salient attribute of odors (B. Berglund, U. Berglund, Engen, & Ekman, 1973;Moskowitz, 1976;Moskowitz & Barbe, 1977;Woskow, 1968). In accordance with the perceived quality of odor mixtures, their hedonic value is also found to be intermediate to their components (Lawless, 1977;Spence & Guilford, 1933;Lawless, 1977; cf. Dravnieks & Jarke, 1980).With progress in the abilities to scale odor intensity directly, a number of studies have described the quantitative princ...

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“…The additivity in binary mixture summation may be elucidated by two principles expressed mathematically as ratios (Patte & Laffort, 1979). The first ratio (a), called the degree ofarithmetic additivity, compares the perceived intensity of the mixture with the sum of the perceived intensities of its components:…”

Section: Binary Mixturesmentioning

confidence: 99%

Odor-intensity interaction in binary and ternary mixtures

Berglund

Olsson

1993

Perception & Psychophysics

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Eight subjects scaled the overall perceived odor intensity of binary and ternary mixtures of the odorous substances pyridine, acetone, and ethyl acrylate. The results concerning basic principles of additivity for binary mixtures comply with those of earlier studies. For the ternary mixtures, the degree of arithmetic additivity in odor intensity seemed lower when a third component was added to a binary mixture than when the second component was added to a single odor, but this did not reach statistical significance. In general, the degree of arithmetic additivity inherent in the power function for single substances was found to be of the same size as the degree of additivity for binary as well as ternary mixtures. However, for binary mixtures, the additivity of the mixtures was found to approximate that ofthe substance with the lower exponent. In addition, the degree of additivity of the binary mixture was monotonically related to the average arithmetic additivity of the power functions for the two components.In olfaction, the knowledge accumulated for how two odorous substances combine to a new percept is quite extensive but less so for more complex mixtures. The binary mixture percept ('lrij) is usually related either to the percepts of the two single components when the components are presented singly ('Ir; and 'lrj), the perceptual approach, or to the concentrations of the single components (cfl; and cflj), the psychophysical approach. The psychophysical approach was mainly employed in the early studies in mixture perception

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An alternative model of olfactory quantitative interaction in binary mixtures

Cited by 67 publications

References 0 publications

Perceptual interactions between fruity and woody notes of wine

Perceptual interactions between fruity and woody notes of wine

An interaction model for odor quality and intensity

Odor-intensity interaction in binary and ternary mixtures

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