2312, 2016

Using contrails and animated sequences to visualize uncertainty in dynamic sensory profiles obtained from temporal check-all-that-apply (TCATA) data

John Castura/ December 23, 2016/ Peer-reviewed Paper/ 0 comments

Approaches for analyzing temporal check-all-that-apply (TCATA) data are further developed and illustrated using data arising from a Syrah wine finish evaluation. Raw and smoothed trajectories are obtained using principal component analysis. Virtual panels are obtained from a partial bootstrap, and the attribute citation proportions are then projected into the solution space to form contrails.

2312, 2016

Comparison of two TCATA variants for dynamic sensory characterization of food products

Sara King/ December 23, 2016/ Peer-reviewed Paper/ 0 comments

Temporal Check-All-That-Apply (TCATA) has been recently introduced as a method for temporal sensory product characterization. This method requires assessors to select all the terms they consider applicable at each moment of the evaluation, and to de-select terms when they are no longer applicable. In the present work a variant of TCATA, TCATA Fading, is presented and compared to TCATA.

1511, 2016

Handling missing data in consumer hedonic tests arising from direct scaling

Sara King/ November 15, 2016/ Peer-reviewed Paper/ 0 comments

In sensory evaluation, it may be necessary to design experiments that yield incomplete data sets. As such, sensory scientists will need to utilize statistical methods capable of handling data sets with missing values. This article demonstrates the advantages of a model-based imputation procedure that simultaneously accounts for heterogeneity while imputing.

3110, 2016

Perception dynamics of grain-based ready-to-eat cereal products using TCATA

Sara King/ October 31, 2016/ Oral Presentation/ 0 comments

The breakdown of grain-based ready-to-eat cereals in the mouth occurs relatively quickly, but it is at this stage when the consumer experiences directly the sensory properties of the cereal. The feelings, tastes, flavors, and sounds elicited in mouth are not static. Rather, these sensations are perceived dynamically, and evolve within each bite, and over the multi-bite eating experience. Temporal check-all-that-apply

Read More

2810, 2016

Evaluation of consumer perception dynamics 2.0

Sara King/ October 28, 2016/ Workshop/ 0 comments

Over the last decade, so-called rapid methods for sensory evaluation have been developed to permit consumers to characterize products. The possibility to analyze both sensory perception data and hedonic and other data arising from the same consumers presents new opportunities, but also new challenges to investigate hedonic drivers and other interesting aspects.

2610, 2016

Characterizing dynamic sensory properties of nonnutritive sweeteners with temporal check-all-that-apply (TCATA)

Sara King/ October 26, 2016/ Poster/ 0 comments

Temporal check-all-that-apply (TCATA) is a novel rapid sensory method that involves checking and unchecking words to track changes in the sample over time, such that at any given moment the words that are checked completely describe the sample. The use of multiple attributes in TCATA allows for tracking of side-tastes that are not the most intense/dominant sensation, potentially making it

Read More

2610, 2016

Perception of sparkling wines of varying carbonation levels using quantitative descriptive analysis (QDA) and temporal check-all-that-apply (TCATA)

Sara King/ October 26, 2016/ Poster/ 0 comments

Carbonation is an important temporal sensory property of sparkling wine. In this study, sparkling wines of different carbonation (CO2) levels (n = 11) were prepared through the addition of varying concentrations of dextrose during the winemaking process. Sparkling wines, ranging in CO2 concentration from 0.0 to 7.5 g of CO2/L (P≤ 0.05), were evaluated by a trained panel (n =

Read More

0110, 2016

Does data capture device affect sensory descriptive analysis results?

Sara King/ October 1, 2016/ Poster/ 0 comments

Research facilities often compare historical to newly obtained data sets. The question arises: can data from recent studies be compared to older studies in which different data collection devices were used? The objective of this study was to determine if data capture device type had a significant influence on sensory descriptive analysis results.