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Improving communication of sensory profiling results – an illustration

Improving communication of sensory profiling results – an illustration Much sensory research focuses on an initial analysis of sensory descriptor data followed by a principal component analysis (PCA) of the sensory descriptors. This paper illustrates an alternative approach of conducting PCA and then applying analysis of variance (ANOVA) to the extracted principal components. The approach is applied to data from a case study quantifying the sensory characteristics of a sous vide vegetable product during storage. In the case study, 11 out of 18 descriptors were significantly influenced by product. Using the alternative approach, however, three out of six principal components were significantly influenced by product. The alternative approach, therefore, provided a more concise presentation of results and one that was consistent with the analysis of the original descriptors. It is hoped that this approach could improve interpretation and subsequent communication of sensory profiling results and help to bridge the gap between core and wider product development activities. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png British Food Journal Emerald Publishing

Improving communication of sensory profiling results – an illustration

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Publisher
Emerald Publishing
Copyright
Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
ISSN
0007-070X
DOI
10.1108/00070700410539789
Publisher site
See Article on Publisher Site

Abstract

Much sensory research focuses on an initial analysis of sensory descriptor data followed by a principal component analysis (PCA) of the sensory descriptors. This paper illustrates an alternative approach of conducting PCA and then applying analysis of variance (ANOVA) to the extracted principal components. The approach is applied to data from a case study quantifying the sensory characteristics of a sous vide vegetable product during storage. In the case study, 11 out of 18 descriptors were significantly influenced by product. Using the alternative approach, however, three out of six principal components were significantly influenced by product. The alternative approach, therefore, provided a more concise presentation of results and one that was consistent with the analysis of the original descriptors. It is hoped that this approach could improve interpretation and subsequent communication of sensory profiling results and help to bridge the gap between core and wider product development activities.

Journal

British Food JournalEmerald Publishing

Published: Jun 1, 2004

Keywords: Product development; Data reduction

References