Optimized Descriptive Profile: A rapid methodology for sensory description

The objective of this study was to propose a rapid method for obtaining sensory descriptions of foods utilizing semi-trained judges and the quantitative evaluation of sensory attributes, called the Optimized Descriptive Profile (ODP). It was proposed that reference materials be present during final evaluation of the products. Therefore the judges could compare samples with the reference materials, facilitating the allocation of attribute intensity on the unstructured scale. The description obtained by the ODP was compared with the Conventional Profile (CP). Comparative analyses were made between the graphical representations obtained by the Principal Components Analysis (PCA), t-test and correlation analysis. Correlation between sensory measurements obtained by both methods and the instrumental texture measurements was also evaluated. The proposed methodology provided a sensory profile that was very similar to that of the evaluation trained panel (CP) in relation to the graphical configuration of the samples and the correlation of attributes with the principal components. Results of the sensory description presented significant correlation without significant differences according to the t-test at the probability level of 0.10. Sensory data obtained by the CP and ODP presented significant correlation (p < 0.10) with the instrumental properties of texture. The proposed descriptive analysis thus has the potential to quantitatively report sensory attributes, reducing the time and cost of sensory tests and facilitating the correlation of sensory and instrumental measurements.

► In this study, we proposed a new method for sensory description of foods. ► The proposed method meets the current demand for faster descriptive methods. ► The description obtained is quantitative, permitting correlation with instrumental data. ► Statistic equality was verified between data obtained from the new method and the Conventional Profile (CP). ► The new methodology presents potential for use in research and in industry.