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DEVELOPMENT OF A SENSORY TEXTURE PROFILE OF COOKED POTATOES BY MULTIVARIATE DATA ANALYSIS
Author(s) -
THYBO ANETTE KISTRUP,
MARTENS MAGNI
Publication year - 1998
Publication title -
journal of texture studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.593
H-Index - 54
eISSN - 1745-4603
pISSN - 0022-4901
DOI - 10.1111/j.1745-4603.1998.tb00816.x
Subject(s) - chewiness , principal component analysis , univariate , multivariate statistics , texture (cosmology) , linear discriminant analysis , mathematics , partial least squares regression , multivariate analysis , pattern recognition (psychology) , artificial intelligence , statistics , multivariate analysis of variance , sensory system , food science , computer science , psychology , chemistry , image (mathematics) , cognitive psychology
A sensory texture profile of cooked potatoes ( Solanum tuberosum ) was developed through two training periods in 1995 and 1997. Training time necessary to obtain a reliable sensory panel in assessing texture attributes was studied by the use of univariate and multivariate data analysis. The panel was interviewed and introduced to the Texture Profile Method. A list of texture attributes, ranging from non oral terms to terms evaluated after the first bite and the following mastications, was developed resulting in 14 texture attributes, Analysis of variance (ANOVA), discriminant partial least squares regression (DPLSR) and principal component analysis (PCA) was used to reduce the texture profile to 8 reliable sensory attributes covering the geometrical (reflection, mealiness, graininess), mechanical (firmness, hardness, springiness chewiness) and moistness characteristics. These variables explained 89% and 86% of the total variance in 1995 and 1997, respectively. Relevant criteria for studying panel performance are discussed. Training for more than one day did not significantly improve panel performance. Geometrical attributes as well as moistness were found easier to evaluate than the mechanical attributes.