Selecting and training a panel to evaluate the rancid defect in soybean oil and fish hamburgers

C. Marques; A. S. dos Reis; L. D. da Silva; S. T. Carpes; M. L. Mitterer-Daltoé

doi:10.3989/gya.0107171

Authors

C. Marques Graduate Program in Chemical and Biochemical Technology Process, Chemistry Department, Federal University of Technology https://orcid.org/0000-0002-0215-2679
A. S. dos Reis Graduate Program in Chemical and Biochemical Technology Process, Chemistry Department, Federal University of Technology https://orcid.org/0000-0002-5508-8412
L. D. da Silva Graduate Program in Chemical and Biochemical Technology Process, Chemistry Department, Federal University of Technology https://orcid.org/0000-0002-7538-4198
S. T. Carpes Graduate Program in Chemical and Biochemical Technology Process, Chemistry Department, Federal University of Technology https://orcid.org/0000-0001-8625-7795
M. L. Mitterer-Daltoé Graduate Program in Chemical and Biochemical Technology Process, Chemistry Department, Federal University of Technology https://orcid.org/0000-0002-6761-9321

DOI:

https://doi.org/10.3989/gya.0107171

Keywords:

Bioactive Phytochemicals, Fish, Flavors, Food Quality, Sensory Analysis

Abstract

Due to its composition of unsaturated and polyunsaturated fatty acids, oils and fats are very susceptible to oxidation, with rancidity being one of the main defects. Among the several existing methodologies to monitor oxidation in foods, sensory analysis stands out because of the sensitivity of responses. Accordingly, this study aimed to select and train a panel of expert assessors to identify the rancid flavor, showing the statistical steps in the process. Assessors were selected according to their individual performance, statistically analyzed by ANOVA and Tukey’s mean comparison, Wald Sequential Analysis and chi-square test. The validation of the trained panel was carried out with the sensory analysis of fish burgers and soybean oil. F Value and box-plot graphic methods were effective for better visualization of results when used along with the mean and standard deviation tables. The final trained panel consisted of seven assessors, who have been able to identify and differentiate rancid taste in both samples used for validation.

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