This study compares trained, semi‐trained and untrained sensory profiles for seven potato puree (PP) samples by using quantitative descriptive analysis (QDA), flash profiling (FP) and projective mapping (PM), respectively. Data analysis methods for QDA, FP and PM were principal component analysis, generalized Procrustes analysis and multiple factor analysis (MFA). For the three profiling techniques, hierarchical clustering analysis was applied to group PPs as per their sensory profiles. Assessors' consensus was analyzed through MFA and correlation coefficients. For each technique, MFA also allowed assessing correlations between sensory and instrumental variables. Results showed that both FP and PM methodologies were able to identify differences in sensory characteristics of PPs, providing very similar sensory maps. Nevertheless, higher correlations between sensory attributes evaluated by semi‐trained and trained assessors were found, indicating that preferably FP should be used as a rapid choice to QDA in hot‐served PPs.
Practical Applications
But even with some restrictions, results of this study showed that with semi‐trained and untrained panels, spatial configurations obtained by FP and PM were relevant to describe sensory profiles of PPs. Both rapid substitute methods presented a strong correlation with QDA (high regression vector coefficients), but FP task would be preferred over PM. However, one disadvantage of these techniques is that they do not allow obtaining average rating scores, and therefore an assessment of least significant differences via analysis of variance can not be done. Therefore, it is important to highlight that both FM and PM methodologies might be particularly recommended when you cannot train a panel for a specific application, but preferably they should be considered complementary to trained assessors' data. Application of these consumer profiling techniques showed that there is a possibility of using inulin in combination with PPs to provide a highly nutritious product with improved consumers' acceptance.