Sensory characterization of gluten‐free bread enriched with teff ( Eragrostis tef (Zucc.) Trotter) and yacon ( Smallanthus sonchifolius ) using flash profile and common dimension analysis

This research described sensory characteristics of gluten‐free bread (GFB) enriched with teff and yacon flour (YF) using flash profile (FP) and common dimension analysis (ComDim). The addition of TF and YF (up to 35%) maintained the sensory attributes. GFB enriched with YF was described by white color, aroma, and taste of white flour, softness and sour aroma. GFB enriched with YF and TF was described by brown color, rougher and aerated texture, wholemeal flour aroma and bitter taste. ComDim explained 96.9% of the total variance with the first three common dimensions (CD). CD1 and CD3 were able to correctly discriminate the products. FP allowed a quick description of the set of products and ComDim proving to be a good alternative to statistical analysis of the data. This study highlights the potential use of TF and YF for the production of gluten‐free products with adequate sensory quality. PRACTICAL APPLICATIONS: Considering that the development of gluten‐free products with adequate technological, nutritional, and sensorial properties represents the main challenge for food technology, this study evaluated the descriptive sensory characteristics of gluten‐free bread enriched with teff (TF) and yacon flour (YF) using flash profile (FP) technique. FP is a descriptive sensory method that has the main advantage of the elimination of the training phase of the assessors, which makes it faster and more advantageous. Usually, the results from this method are analyzed by generalized procrustes analysis. In this research, the results of the sensory description were analyzed using common dimension analysis (ComDim). The addition of TF and YF to the product is viable as it improves its nutritional composition. Furthermore, ComDim assigns different weights (saliences) to the evaluator in each dimension, allowing a differentiated analysis of its importance, proving to be a good alternative to the statistical analysis for FP.