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

Current status and future prospects of sensory and consumer research approaches to gluten-free bakery and pasta products

Sensory and consumer research performs a pivotal role in gluten-free (GF) food research and development due to consumer dissatisfaction about currently available products, despite the continued growth of this market and promising research developments. Nowadays, almost half of the original articles about GF products include sensory analysis. A current overview is needed to help both food scientists and industry indentify current trends and forward-looking approaches. This current review has gathered information concerning sensory and consumer research for GF bakery and pasta products, from studies published in the last decade, and then discusses future challenges in the light of recent advances. Among the promising approaches, projective techniques that collect data using social media can provide quick, spontaneous and direct opinions from GF consumers. They can also be used to evaluate trends and cross-cultural or global insights. Participatory methods have highlighted the importance of label information and may further explore the behavior of GF consumers in more realistic environments, as well as to evaluate the intrinsic GF food factors in GF consumer opinions, emotions, behavior and choices. This review details current issues occurring in sensory analysis of GF products, which still need to be resolved. The combination of affective and analytical methods allows for a better characterization of the samples and such sensory analysis of GF products in the future could guide product development and quality control, overcoming technological, nutritional, and shelf-life issues.

Detection of adulteration in Eragrostis tef (Zucc.) Trotter flour using EDXRF and ComDim-MLR data fusion

The teff cereal gained worldwide attention because it is gluten-free and rich in iron; thus, its flour is subject to fraud. This study evaluated the ability of Energy Dispersive X-Ray Fluorescence Spectroscopy (EDXRF) to identify teff flours adulterated with rice, whole wheat, oat, and rye flours. The adulteration followed a {5,4} simplex-lattice design. After smoothing and pretreatments, 15 kV and 50 kV spectra were fused by Common Dimension Analysis (ComDim). Multiple Linear Regression (MLR) models using EDXRF-ComDim scores and percentage of teff were adjusted. The best model presented four common dimensions (CD), r2prediction = 0.8534, low RMSEP (0.0564), and absence of overfitting. The obtained model was robust to quantify adulteration in teff flour even with the differences in the intensity of EDXRF spectra of different crops. Therefore, EDXRF, in tandem with ComDim data fusion, was an efficient tool for the adulteration control of teff flours.