Literature DB >> 3451190

The equiratio taste mixture model successfully predicts the sensory response to the sweetness intensity of complex mixtures of sugars and sugar alcohols.

J E Frijters1, C de Graaf.   

Abstract

The equiratio taste mixture model was originally developed for the prediction of psychophysical power functions of equiratio mixtures of substances that have a similar taste and that also exhibit mutual cross adaptation. Earlier studies have shown that the model is valid for mixtures of sugars and/or sugar alcohols. Two experiments are reported in which it is questioned whether the psychophysical functions of mixtures of higher physical complexity can be predicted by the model. In the first experiment the psychophysical power functions of binary and quaternary equiratio mixture types were determined experimentally and compared to those predicted by the generalized model. In the second, similar, experiment quaternary and eight-component mixture types were examined. The method of magnitude estimation, in combination with the sip and spit procedure, was used. The functions predicted by the model were almost identical to the functions established on the basis of the experimental data. These results reconfirm that the gustatory modality operates like an 'averaging' system when processing this kind of mixture. It is argued that for other kind of mixtures the model will predict incorrectly. The status of the equiratio mixture model is discussed.

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Year:  1987        PMID: 3451190     DOI: 10.1068/p160615

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  3 in total

1.  An investigation of the equiratio-mixture model in olfactory psychophysics: a case study.

Authors:  F T Schiet; J E Frijters
Journal:  Percept Psychophys       Date:  1988-10

2.  "Ratios" and "differences" in perceived sweetness intensity.

Authors:  C De Graaf; J E Frijters
Journal:  Percept Psychophys       Date:  1988-10

3.  A Comparison of Psychophysical Dose-Response Behaviour across 16 Sweeteners.

Authors:  May Wee; Vicki Tan; Ciarán Forde
Journal:  Nutrients       Date:  2018-11-02       Impact factor: 5.717

  3 in total

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