Search results for "temporal dominance of sensations"
showing 10 items of 12 documents
Salt and Aroma Compound Distributions Influence Flavour Release and Temporal Perception While Eating Hot-Served Flans.
2021
International audience; To counteract the negative effect of salt overconsumption on health, strategies have been developed to reduce the salt content in food products. Among them, two promising strategies based on odour-induced saltiness enhancement and the heterogeneous distribution of flavour compounds were combined and assessed in four-layer cream-based snacks. To investigate the relationship between saltiness enhancement, temporal release and perception of flavour compounds in hot snacks with heterogeneous distribution of salt and aroma compounds, complementary techniques were used: nose space PTR-Tof-MS (Proton Transfer Reaction-Time of Flight–Mass Spectrometry) to assess the release …
Modeling TDS data and segmenting consumers thanks to a mixture of semi-Markov processes
2018
International audience
Utilisation de la Dominance temporelle des sensations pour la caractérisation sensorielle des produits de la filière blé-farine-pain
2012
Eurogerm is specialized in flour correctors, bread improvers and technological ingredients for the wheat, flour and bread sector. The company gives great importance to sensory analysis as a diagnostic tool of finished products and has four expert panels; each panel is specialized in one category of products and is trained to standard sensory profiling. Today, in addition to the traditional method, Eurogerm wants to explore new methods in order to offer new services to its customers. This paper describes the development of Temporal Dominance of Sensations (TDS) created in the “Centre des Sciences du Goût et de l’Alimentation” (CSGA) (PINEAU et al., 2009). TDS provides information on the perc…
Sensory exploration of the freshness sensation in plain yoghurts and yoghurt-like products
2013
WOS: 000324008600021 ; http://www.sciencedirect.com/science/article/pii/S0950329313001092; International audience; The term "freshness sensation" is used by consumers for characterizing some plain yoghurts and yoghurt-like products. This study consisted in an investigation of this sensation aiming at determining its underlying sensory attributes. First, two focus groups of consumers were conducted to open up the framework. A set of plain yoghurts and yoghurt-like products, both commercial and experimental, was then subjected to sensory analysis. The samples were sorted by means of a free sorting task, and further scored for the intensity of their freshness sensation and their liking, by 72 …
Temporal drivers of liking
2013
Abstract Generally liking is measured overall but is likely to vary over the food intake, like sensory perception. Replacing the attributes in Temporal Dominance of Sensations (TDS) by the categories of a usual ordinal liking scale makes it possible to monitor liking changes while eating a product (Sudre et al., 2012). This methodology allows for a better understanding of the influence of temporal dominance of sensations on liking and liking evolution over the time of product intake. Thus, it is possible to associate hedonic temporal data and descriptive temporal data (TDS profiles), which would identify drivers of liking, that is attributes which, when cited as dominant, would lead to a de…
Dynamic of freshness perception in plain yoghurts temporal dominance of sensations
2013
Communication orale ; http://www.pangborn2013.com/; International audience
Estimating finite mixtures of semi-Markov chains: an application to the segmentation of temporal sensory data
2019
Summary In food science, it is of great interest to obtain information about the temporal perception of aliments to create new products, to modify existing products or more generally to understand the mechanisms of perception. Temporal dominance of sensations is a technique to measure temporal perception which consists in choosing sequentially attributes describing a food product over tasting. This work introduces new statistical models based on finite mixtures of semi-Markov chains to describe data collected with the temporal dominance of sensations protocol, allowing different temporal perceptions for a same product within a population. The identifiability of the parameters of such mixtur…
Analysis and modeling of Temporal Dominance of Sensations with stochastic processes
2019
Temporal Dominance of Sensations (TDS) is a technique to measure temporal perception of food product during tasting. For a panelist, it consists in choosing in a list of attributes which one is dominant at any time. This work aims to model TDS data with a stochastic process and proposes to use semi-Markov processes (SMP), a generalization of Markov chains which allows dominance durations to be modeled by any type of distribution. The model can then be used to compare TDS samples based on likelihood ratio. Because probabilities of transition from one attribute to another one can also depend on time, we propose to model TDS by period and we propose a method to select optimally the number of p…
Descriptive and hedonic temporal sensory analysis
2016
Over the last years, so-called rapid methods for sensory evaluation have been developed to collect sensory description of products from consumers. Moving forward in this direction, this thesis proposes to pair Temporal Dominance of Sensations (TDS) with dynamic liking. This new method, named Temporal Drivers of Liking (TDL), highlights sensory drivers of consumer liking and determines how the dynamic perception can impact the hedonic response. This work proposes to compute the Liking While Dominant (LWD) score as the average liking scores given to a product while a given attribute was perceived as dominant and to look at its deviation from the mean liking score of this product. When signifi…
Analysis and modeling of Temporal Dominance of Sensations with stochastic processes
2019
Temporal Dominance of Sensations (TDS) is a technique to measure temporal perception of food product during tasting. For a panelist, it consists in choosing in a list of attributes which one is dominant at any time. This work aims to model TDS data with a stochastic process and proposes to use semi-Markov processes (SMP), a generalization of Markov chains which allows dominance durations to be modeled by any type of distribution. The model can then be used to compare TDS samples based on likelihood ratio. Because probabilities of transition from one attribute to another one can also depend on time, we propose to model TDS by period and we propose a method to select optimally the number of p…