Literature DB >> 4744499

A quantitative principle of perceived intensity summation in odor mixtures.

T Lindvall, L T Svensson.   

Abstract

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Year:  1973        PMID： 4744499     DOI： 10.1037/h0035435

Source DB:  PubMed          Journal:  J Exp Psychol        ISSN： 0022-1015


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  14 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.  The contributions of smell and taste to overall intensity: a model.

Authors:  D E Hornung; M P Enns
Journal:  Percept Psychophys       Date:  1986-06

Review 3.  Theory and methods for odor evaluation.

Authors:  B Berglund; U Berglund; T Lindvall
Journal:  Experientia       Date:  1986-03-15

4.  Integrated model for estimating odor emissions from civil wastewater treatment plants.

Authors:  Marco Ravina; Deborah Panepinto; Jheyson Mejia Estrada; Luca De Giorgio; Pietro Salizzoni; Mariachiara Zanetti; Lorenza Meucci
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-10       Impact factor: 4.223

5.  Odor-intensity interaction in binary and ternary mixtures.

Authors:  B Berglund; M J Olsson
Journal:  Percept Psychophys       Date:  1993-05

6.  Ipsi- and bilateral interactions in taste.

Authors:  M R Linschoten; J H Kroeze
Journal:  Percept Psychophys       Date:  1994-04

7.  An interaction model for odor quality and intensity.

Authors:  M J Olsson
Journal:  Percept Psychophys       Date:  1994-04

8.  Evaluation and modeling of synergy to pheromone and plant kairomone in American palm weevil.

Authors:  Imen Saïd; Belhassen Kaabi; Didier Rochat
Journal:  Chem Cent J       Date:  2011-04-04       Impact factor: 4.215

9.  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

10.  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
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