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| Romano, Rosaria; Næs, Tormod; Brockhoff, Per Bruun. |
| In sensory analysis a panel of assessors evaluate a collection of samples/products with respect to a number of sensory characteristics. Assessments are collected in a threeway data matrix crossing products, attributes and assessors. The main objective of the experiment is to evaluate products. However, the performance of each assessor and of the panel as a whole is of crucial importance for a successful analysis. At this aim univariate analysis for each sensory attribute as well as multi-way analysis considering all directions of information are usually performed. The present work studies the quality of a panel using both methods. The basic idea is to compare results and investigate relations between the two different analytical approaches. |
| Tipo: Conference paper, poster, etc. |
Palavras-chave: Surveys and statistics. |
| Ano: 2007 |
URL: http://orgprints.org/11285/1/RomN%C3%A6Bro.pdf |
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| Romano, Rosaria; Vestergaard, Jannie S.; Kompany-Zareh, Mohsen; Bredie, Wender L. P.. |
| In sensory analysis a panel of trained assessors evaluates a set of samples according to specific sensory descriptors. The training improves objectivity and reliability of assessments. However, there can be individual differences between assessors left after the training that should be taken into account in the analysis. Monitoring panel performance is then crucial for optimal sensory evaluations. The quality of the results is strongly dependent on the performance of each assessor and of the panel as a whole. The present work proposes to analyze the panel performance within single sensory evaluations and between consecutive evaluations. The basic idea is to use multi-way models to handle the three-way nature of the sensory data. Specifically, a... |
| Tipo: Conference paper, poster, etc. |
Palavras-chave: Food security; Food quality and human health. |
| Ano: 2008 |
URL: http://orgprints.org/14718/1/RoVeZaBre.pdf |
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| Romano, Rosaria; Vestergaard, Jannie S.; Bredie, Wender L. P.. |
| Sensory profiling data is essentially three-way data where samples, attributes and assessors are the three dimensions of information. It is common practice to average over the assessors and focus the analysis on the relations between samples and sensory descriptors. However, since assessor reliability can not be controlled in advance, posthoc analysis on assessors is needed to assess performance of the individual and at the panel level. For this purpose, multiway analysis is a very efficient data method as it provides information on samples, attributes and assessors, simultaneously [1]. PARAllel FACtor (PARAFAC) analysis is one of the most used multiway methods in sensory analysis [2][3]. It is based on two basic assumptions: 1) there exist latent... |
| Tipo: Conference paper, poster, etc. |
Palavras-chave: Surveys and statistics. |
| Ano: 2009 |
URL: http://orgprints.org/16356/1/16356.pdf |
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