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Journal ArticleDOI

Reliability of polarized projective mapping with consumers

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TLDR
Results showed that PPM can be regarded as a repeatable and reproducible methodology, and provided evidence of the reliability of the methodology for the evaluation of simple products with moderate differences among them.
Abstract
Polarized projective mapping (PPM) combines the main features of projective mapping and polarized sensory positioning. The main advantage of this methodology is that it allows comparing results obtained in different sessions. The aim of this study was to evaluate the reliability of PPM, focusing on individual and global repeatability, global reproducibility and data aggregation from different sessions. A consumer study with two sample sets of powdered drinks was carried out. Consumers were randomly divided into four groups: two of the groups evaluated the same sample set in two different sessions, while the other two evaluated the samples in three sessions (in one of the sessions, they evaluated the whole sample set, whereas in the other two sessions they evaluated the sample set split into two sets). Results showed that PPM can be regarded as a repeatable and reproducible methodology. Preliminary evidence of the validity of aggregating data from different sessions was gathered. Practical Applications Projective mapping is a holistic methodology for sensory characterization with both trained assessors and consumers. It requires all samples to be simultaneously evaluated in the same session, which restricts the number of products that can be evaluated and makes it difficult to compare results from samples evaluated at different moments in time. In this context, PPM relies on the use of fixed references to enable data aggregation. Results from this work provided evidence of the reliability of the methodology for the evaluation of simple products with moderate differences among them.

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Citations
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Journal ArticleDOI

Novel and successful free comments method for sensory characterization of chocolate ice cream: A comparative study between pivot profile and comment analysis

TL;DR: It is observed that comment analysis is performed intuitively by consumers, whereas the pivot profile method showed high analytical and discriminative power even using consumers, proving to be a promising technique for routine application when classical descriptive methods cannot be used.
Journal ArticleDOI

Comparison of consumer-based methodologies for sensory characterization: Case study with four sample sets of powdered drinks

TL;DR: In this article, the authors compared three consumer-based methodologies and descriptive analysis for sensory characterization, considering as case study four sets of orange-flavoured powdered drinks, differing in the number of samples and the extent to which they represented the whole product category.
Journal ArticleDOI

Pivot profile method: What is the influence of the pivot and product space?

TL;DR: In this paper, the authors compared the pivot profiles obtained for three different sets of beers, varying in their within-set sensory similarity, using different pivots, and found that PP results are more influenced by the within set similarity than by the choice of the pivot, and that the creation of a "central product" as the pivot can be a good option when the type of products allows it.
Journal ArticleDOI

Polarized projective mapping as a rapid sensory analysis method applied to South African Chenin Blanc wines

TL;DR: In this article, the applicability of PPM to dry South African Chenin Blanc wines, one Projective Mapping and four PPM experiments were performed using expert judges, and the PPM results from all four experiments were combined in a single statistical analysis.
References
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Sensory Evaluation of Food

TL;DR: The first € price and the £ and $ price are net prices, subject to local VAT as mentioned in this paper, and they are subject to change without notice, all errors and omissions excepted.
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A Unifying Tool for Linear Multivariate Statistical Methods: The RV-Coefficient

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.
Journal ArticleDOI

Sensory profiling, the blurred line between sensory and consumer science. A review of novel methods for product characterization

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

Collection and analysis of perceived product inter-distances using multiple factor analysis: Application to the study of 10 white wines from the Loire Valley

TL;DR: In this article, the authors proposed a method to measure the perceived inter-products distance between products by each subject, where each subject is asked to position the products onto a large sheet of paper according to the sensory distances he perceives between the products.
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