Journal ArticleDOI
Rapid descriptive sensory methods – Comparison of Free Multiple Sorting, Partial Napping, Napping, Flash Profiling and conventional profiling
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TLDR
Semantic comparison shows large differences, with closest relations found between the two conventional profiles, which suggests that semantic results from an assessor in an evaluation type with no training sessions are dependent on the assessors’ personal semantic skills.About:
This article is published in Food Quality and Preference.The article was published on 2012-12-01. It has received 164 citations till now. The article focuses on the topics: Sensory analysis.read more
Citations
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Journal ArticleDOI
Sensory profiling, the blurred line between sensory and consumer science. A review of novel methods for product characterization
Paula Varela,Gastón Ares +1 more
TL;DR: This review aims at reviewing theory, implementation, advantages and disadvantages of the novel product profiling techniques developed in the last ten years, discussing recommendations for their application.
Journal ArticleDOI
Multiple factor analysis: principal component analysis for multitable and multiblock data sets
TL;DR: This article presents MFA, reviews recent extensions, and illustrates it with a detailed example that shows the common factor scores could be obtained by replacing the original normalized data tables by the normalized factor scores obtained from the PCA of each of these tables.
Journal ArticleDOI
Comparison of three sensory profiling methods based on consumer perception: CATA, CATA with intensity and Napping®
Helene Christine Reinbach,Davide Giacalone,Leticia Machado Ribeiro,Wender L.P. Bredie,Michael Bom Frøst +4 more
TL;DR: In this article, the authors compared three profiling methods based on consumer perceptions in their ability to discriminate and describe eight beers: Check-All-That-Apply (CATA), Napping and Ultra Flash Profiling (UFP).
Book
Novel Techniques in Sensory Characterization and Consumer Profiling
Paula Varela,Gastón Ares +1 more
TL;DR: This book focuses on sensory characterization of food and non-food products, providing an overview of classical and novel alternative methodologies, and the implementation of the majority of the methodologies would be performed in the statistical free software R.
Journal ArticleDOI
Consumer perception of probiotic yogurt: Performance of check all that apply (CATA), projective mapping, sorting and intensity scale
Adriano G. Cruz,Adriano G. Cruz,Rafael Silva Cadena,W.F. Castro,Erick A. Esmerino,Juliana Burger Rodrigues,L. Gaze,José de Assis Fonseca Faria,Mônica Q. Freitas,Rosires Deliza,Helena Maria André Bolini +10 more
TL;DR: The performance of check-all-that-apply (CATA), projective mapping, sorting and intensity scales was assessed for determining consumer perception of probiotic yogurts, two prototypes added with glucose oxidase, a potential oxygen scavenger and commercial brands available in the Brazilian market.
References
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R: A Language for Data Analysis and Graphics
Ross Ihaka,Robert Gentleman +1 more
TL;DR: In this article, the authors discuss their experience designing and implementing a statistical computing language, which combines what they felt were useful features from two existing computer languages, and they feel that the new language provides advantages in the areas of portability, computational efficiency, memory management, and scope.
Journal ArticleDOI
FactoMineR: An R Package for Multivariate Analysis
TL;DR: FactoMineR an R package dedicated to multivariate data analysis with the possibility to take into account different types of variables (quantitative or categorical), different kinds of structure on the data, and finally supplementary information (supplementary individuals and variables).
Journal ArticleDOI
A Unifying Tool for Linear Multivariate Statistical Methods: The RV-Coefficient
P. Robert,Y. Escoufier +1 more
TL;DR: In this article, it is shown that most classical methods of linear multivariate statistical analysis can be interpreted as the search for optimal linear transformations or, equivalently, the searching for optimal metrics to apply on two data matrices on the same sample; the optimality is defined in terms of the similarity of the corresponding configurations of points, which, in turn, calls for the maximization of the associated RV•coefficient.
Related Papers (5)
Collection and analysis of perceived product inter-distances using multiple factor analysis: Application to the study of 10 white wines from the Loire Valley
Sensory profiling, the blurred line between sensory and consumer science. A review of novel methods for product characterization
Paula Varela,Gastón Ares +1 more