0000000000893731

AUTHOR

Eric Teillet

showing 8 related works from this author

SORT-CC: A procedure for the statistical treatment of free sorting data

2008

International audience; A statistical approach for the analysis of free sorting data is discussed. In a first stage, the sorting data from each subject are arranged into a dataset consisting of indicator variables which reflect the memberships of the stimuli to the groups formed by the subject under consideration. Thereafter, an appropriate standardization is applied on these data and a three way statistical method, namely Common Components and Specific Weights Analysis, is performed on the datasets thus obtained. This makes it possible to take account of the individual differences among the subjects and to depict graphical displays showing the relationships among the stimuli on the one han…

0303 health sciencesNutrition and DieteticsMultivariate analysisBasis (linear algebra)Standardization030309 nutrition & dieteticsComputer scienceTRISorting04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineeringcomputer.software_genre040401 food scienceSORTING DATA03 medical and health sciences0404 agricultural biotechnologyDummy variableThree way[SDV.IDA]Life Sciences [q-bio]/Food engineeringsortStatistical analysisMULTIVARIALE ANALYSData miningcomputerFood Science
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Sensory methodologies and the taste of water

2009

/WOS: 000285178000010; International audience; Describing the taste of water is a challenge since drinking water is supposed to have almost no taste. In this study, different classical sensory methodologies have been applied in order to assess sensory characteristics of water and have been compared: sensory profiling, Temporal Dominance of Sensations and free sorting task. These methodologies present drawbacks: sensory profile and TDS do not provide an effective discrimination of the taste of water and the free sorting task is efficient but does not enable data aggregation. A new methodology based on comparison with a set of references and named “Polarized Sensory Positioning” (PSP) has bee…

030309 nutrition & dieteticsComputer science[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionSensory systemSensory profileMachine learningcomputer.software_genreSensory analysissensory analysis03 medical and health sciences0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringProfiling (information science)0303 health sciencesCommunicationNutrition and Dieteticsbusiness.industrydrinking water[ SDV.IDA ] Life Sciences [q-bio]/Food engineering04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceData aggregatorArtificial intelligencebusinesscomputerpolarized sensory positioning[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Science
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Le goût de l'eau et les préférences des consommateurs en matière d'eau de boisson

2010

National audience

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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Prefsort: an external preference mapping on weighted sorting data

2011

Prefsort: an external preference mapping on weighted sorting data. 9. Pangborn sensory science symposium

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Polarized sensory positioning (PSP), workshop de sensométrie

2009

International audience

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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Déterminer le goût de l’eau ne coule pas de source

2008

Describing the taste of water is a challenge since drinking water is supposed to have almost no taste. In this study, different classical sensory methodologies have been applied in order to assess sensory features of water. Nevertheless, these methodologies present drawbacks so a new methodology based on the comparison between water samples named “Polarized Sensory Positioning” (PSP) has been developed enabling to easily define the sensory characteristics of water without presenting too many samples. Finally, this new method provides new sensory data and could be extended to other products.

[SDV.AEN] Life Sciences [q-bio]/Food and Nutritionpositionnement sensoriel polarisé eau potable méthodologie sensorielle polarized sensory positioning drinking water sensory methodology[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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What makes the taste of waters? What sensory methodology to address this question?

2013

International audience; To characterize the taste of drinking waters, Teillet et al. (2010) used first a free sorting task and then defined the Polarized Sensory Positioning (PSP) technique as a substitute better suited to industrial constraints. They conclude that Total Dissolved Solids (TDS) is the main driver of water taste. Puget et al. (2010) found, based on triangular tests, that differences in mineral profiles can also generate taste differences. The research reported in this paper aims at assessing relative importance of TDS and mineral profile in water taste and at the same time comparing free sorting task, PSP and triangular test suitability for addressing this issue. Three levels…

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Setting up of the polarized sensory positioning (PSP) methodology. Application to the taste of water

2009

International audience

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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