EVALUATION OF PANELIST PERFORMANCE IN DESCRIPTIVE PROFILING OF RANCID SAUSAGES: A MULTIVARIATE STUDY

This paper illustrates an application of principal component analysis (PCA), partial least squares regression (PLS) and generalized procrustes analysis (GPA) to evaluate the ability of a trained group of assessors to perceive rancidity in foods. PCA and regression PLS were utilized to determine to which extent sensory attributes capture the information perceived by a trained sensory panel, and if this can be developed into a predictive model for rancidity in sausages. The data were submitted to a GPA to obtain a map of the products for each subject as compared with a consensus products map. Assessors plots for the sensory attributes were also obtained to reveal the dissimilarities between panelists and to explore clustering.     

A PANEL PERFORMANCE PROCEDURE IMPLEMENTED IN R

Monitoring performance is essential for the efficient use of a sensory panel both during training and while carrying out product assessments. We present a concise procedure to monitor panel performance based on classical statistical methods. The program includes tests for the ability to discriminate between products, repeatability of assessments, scale use, agreement between panelists and a principal component analysis map of panelist means across attributes. The algorithm is implemented in R – a state‐of‐the‐art, freely available statistical software package. The program output is summarized in graphs and tables. This easily applicable panel performance procedure is aimed at improving sensory practice, especially in areas where the use of highly complex systems is not feasible.     

EXTRACTING PARAMETERS FROM TIME-INTENSITY CURVES USING A TRAPEZOID MODEL: THE EXAMPLE OF SOME SENSORY ATTRIBUTES OF ICE CREAM

The aim of this work was to develop a new modeling method of time-intensity curves by utilizing the simple shape of a trapezoid. Using a computerized procedure, time-intensity data were collected from panelists evaluating sensory attributes of ice creams. The method was based on the extraction of four values on the time axis, corresponding to 5 and 90% of the maximum intensity value, both in the increasing and decreasing phases of the curve. These intensity levels were chosen because they permitted to rub out some artifacts for intensities close to zero and in the maximum intensity plateau region. Kinetic parameters (duration and rate of the increasing and decreasing phases of the sensation, duration of the maximum intensity) were calculated from the coordinates of the trapezoid, allowing to differentiate ice creams. They were found to bring complementary information in comparison with traditional intensity scaling. In the present paper, the fat content was identified as modifier of the maximum fruitiness intensity of ice creams and of the kinetic of flavor release.     

SENSORY EVALUATION BASED ON VERBAL JUDGMENTS

Studies of the repeatability and the homogeneity of expert panel scores in sensory profiling show that lasting and reliable evaluations of food products are difficult to obtain: strong inter- and intra-individual differences are commonly observed. Our hypothesis is that this variability is due to quantification methods that consist of asking panelists to furnish quantitative values (by attributing a numerical point to perceived intensity) and that using natural language in the form of verbal judgements in a hierarchical tree would allow improving the reliability of sensory evaluations. This hypothesis was tested by comparing a numerical value scale and a specific hierarchical semantic scale that subjects devised themselves prior to the experiment. The products (chocolate dessert creams) were evaluated using each of the two methods. The results show that the capacity to discriminate between products is better when verbal judgements are used. We discuss the advantages of hierarchical semantic scales for sensory profiling.     

GRAPES: A METHOD AND A SAS® PROGRAM FOR GRAPHICAL REPRESENTATIONS OF ASSESSOR PERFORMANCES

GRAPES computes individual and global analyses of variance for sensory profiling data, consisting of several sessions in which all the panelists gave scores to all the products for a number of attributes. The fitted model takes into account the session effect. GRAPES summarizes the results by means of graphical assessor scatterplots which allow to check and to compare panelist performances, such as the way of using scale, the reliability, the discrimination power and the agreement with the panel. In addition, GRAPES detects the outliers for each of these criterion. The usefulness of GRAPES for the panel leader will be demonstrated using texture and flavor profiling of 4 restructured steaks by 12 assessors for 15 attributes. The SAS® program GRAPES, available by e-mail from the author, requires the SAS/BASE®, SAS/STAT®, SAS/GRAPH® and SAS/IML® softwares.     

SENSORY PROPERTIES AND CONSUMER PERCEPTION OF 'HOME-MADE'AND COMMERCIAL DAIRY ICE CREAM

Sensory properties and consumer perception of 2 'home-made'and 4 commercial dairy ice creams were examined. Conventional profiling by a trained panel found that most samples differed significantly in all attributes, but distinction of 'home-made'from commercial products was limited to few attributes. Principal component analysis separated the 'home-made'products from the commercial ones mainly on the basis of differences in appearance, aroma, creamy flavors and textural attributes. A consumer group (n=105) recorded preconception of 'home-made'ice cream acceptance, then received the product samples, in unlabeled condition, for assessment of degree of liking (DOL) and for identification as 'home-made'or commercial. Internal preference mapping of the DOL ratings showed that consumers were more closely grouped around samples which had higher intensities of certain attributes. Higher 'denseness', 'vanilla'aroma and 'buttery'flavor, were associated with more liking for commercial products. The 'home-made'high fat sample, although liked, tended to be grouped with commercial products. More marked textural attributes of 'ice crystals'and 'breakage'aided identification of the low-fat 'home-made'formulation, which was less liked overall. Overall, differences between the 'home-made'and commercial samples were small but consumer perception of the term 'home-made'was viewed favorably for dairy ice cream.     

RELATIONSHIP BETWEEN ORAL AND NONORAL EVALUATION OF TEXTURE IN ACID MILK GELS

The objectives of this study were to compare oral and nonoral sensory evaluation for discrimination of texture of acid skim milk gels and to establish whether nonoral attributes could be correlated to the oral perception of texture. Trained panelists (n = 13) identified 11 nonoral (visual and in-hand) and 4 oral attributes during a preliminary profiling session that could be used to discriminate textures (P < 0.001) in a range of acid gels prepared with different solid contents and heat treatment of the milks. Both methods of sensory appraisal were found to discriminate between gels. Correlation analysis showed high interrelationship between individual oral and nonoral attributes (P < 0.01). Principal component analysis revealed that all 4 oral attributes could be combined into one single attribute (PC1), with equal relative importance of the individual attributes in explaining the variance in the oral sensory data set. Canonical correlation analysis revealed good correlation between the oral and nonoral set of attributes (R² > 87.5%).