Grasas y Aceites, Vol 68, No 3 (2017)

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: http://dx.doi.org/10.3989/gya.0107171

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.

Keywords


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

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References


Ares G, Jaeger SR, Antúnez L, Vidal L, Giménez A, Coste B, Picallo, A Castura, JC. 2015. Comparison of TCATA and TDS for dynamic sensory characterization of food products. Food Res. Int. 78, 148–158.

ASTM, 2010. ASTM —Standard Test Method for Sensory Analysis — Triangle Test. ASTM Int. 1–8.

Banfield CF, Harries JM. 1975. A technique for comparing judges’ performance in sensory tests. J. Food Technol. 10, 1–10.

Braghieri A, Piazzolla N, Carlucci A, Monteleone E, Girolami A, Napolitano F, 2012. Development and validation of a quantitative frame of reference for meat sensory evaluation. Food Qual. Prefer. 25, 63–68.

BRASIL, 1996. Diretrizes e normas regulamentadoras de pesquisas envolvendo os seres humanos, in: CNS/MS 196/96. Diário Oficial da República Federativa do Brasil, Brasília, DF: Ministério da Saúde.

Borrás E, Mestres M, Aceña L, Busto O, Ferré J, Boqué R, Calvo A. 2015. Identification of olive oil sensory defects by multivariate analysis of mid infrared spectra. Food Chem. 187, 197–203.

Campo MM, Nute GR, Hughes SI, Enser M, Wood JD, Richardson RI. 2006. Flavour perception of oxidation in beef. Meat Sci. 72, 303–311.

Coli MS, Gil A, Rangel P, Souza ES, Oliveira MF, Cristina A, Chiaradia N, 2015. Chloride concentration in red wines: influence of terroir and grape type. Food Sci. Technol. 35, 95–99.

Corbo MR, Speranza B, Filippone A, Granatiero S, Conte A, Sinigaglia M, Del Nobile, 2008. Study on the synergic effect of natural compounds on the microbial quality decay of packed fish hamburger. Int. J. Food Microbiol. 127, 261–7.

Del Nobile MA, Corbo MR, Speranza B, Sinigaglia M, Conte A, Caroprese M. 2009. Combined effect of MAP and active compounds on fresh blue fish burger. Int. J. Food Microbiol. 135, 281–287.

Dutcosky SD, 2007. Análise sensorial de alimentos, 2nd ed. Champagnat, Curitiba.

Elortondo FJP, Ojeda M, Albisu M, Salmerón J, Etayo I, Molina M, 2007. Food quality certification: An approach for the development of accredited sensory evaluation methods. Food Qual. Prefer. 18, 425–439.

Etaio I, Albisu M, Ojeda M, Gil PF, Salmerón J, Pérez Elortondo FJ. 2010. Sensory quality control for food certification: A case study on wine. Panel training and qualification, method validation and monitoring. Food Cont. 21, 542–548.

González MM, Navarro T, Gómez G, Pérez RA, de Lorenzo C. 2007. Sensory assessment of table olive: I. Set up of a panel test and use of standarised scales. Grasas Aceites 58.

Houhg G, Fiszman S. 2005. Estimación de la vida útil sensoria de los alimentos, 1st ed. Martín Impresores, S. L., Valencia - Espanha.

Ibrahim HMA. 2001. Acceleration of curing period of pastrami manufactured from buffalo meat: II-Fatty acids, amino acids, nutritional value and sensory evaluation. Grasas Aceites 52.

ISO, 2004. Sensory analysis - Methodology - Sequential analysis, in: ISO 16820:2004. ANSI, New York, p. 10.

Kamruzzaman M, ElMasry G, Sun DW, Allen P, 2013. Non-destructive assessment of instrumental and sensory tenderness of lamb meat using NIR hyperspectral imaging. Food Chem. 141, 389–396.

Latreille J, Mauger E, Ambroisine L, Tenenhaus M, Vincent M, Navarro S, Guinot C. 2006. Measurement of the reliability of sensory panel performances. Food Qual. Prefer. 17, 369–375.

Lea P, Ródbotten M, Naes T. 1995. Measuring validity in sensory analysis. Food Qual. Prefer. 6, 321–326.

Lee E, Choe E. 2012. Changes in oxidation-derived off-flavor compounds of roasted sesame oil during accelerated storage in the dark. Biocatal. Agric. Biotechnol. 1, 89–93.

López-Aguilar JR, Valerio-Alfaro G, Monroy-Rivera JA, Medina-Juárez LA, O’Mahony M, Angulo O. 2007. Evaluation of a simple and sensitive sensory method for measuring rancidity in soybean oils. Grasas Aceites 57, 149–154.

Mitterer-Daltoé ML, Treptow R, De O, Martins E, Martins VM V, Queiroz MI. 2012. Selecting and Training a Panel to Evaluate the Metallic Sensation of Meat. Food Sci. Technol. Res. 18, 279–286.

Næs T, Brockhoff PB, Tomic O. 2010. Statistics for Sensory and Consumer Science, Wiley, Chichester.

Santana LRR, Santos LCS, Natalicio MA, Mondragon- Bernals OL, Elias EM, Silva CB, Zepka, LQ, Martins ISL, Vernaza MG, Castillo-Pizarro C, Bolini HMA. 2006. Perfil sensorial de iogurte light, sabor pêssego. Ciência e Tecnol. Aliment. 26, 619–625.

Sinesio F, Risvik E, Rodbotten M. 1990. Evaluation of panelist performance in descriptive profiling of rancid sausages: a multivariate study. J. Sens. Stud. 5, 33–52.

Soares KMP, Gonçalves AA. 2012. Qualidade e segurança do pescado. Rev. Inst. Adolfo Lutz 71, 1–10.

Wang Q, Lonergan SM, Yu C, 2012. Rapid determination of pork sensory quality using Raman spectroscopy. Meat Sci. 91, 232–239.

Williamson DF, Parker RA, Kendrick JS. 1989. The box plot: A simple visual method to interpret data. Ann. Intern. Med. 110, 916–921.

Wu T, Mao L. 2008. Influences of hot air drying and microwave drying on nutritional and odorous properties of grass carp (Ctenopharyngodon idellus) fillets. Food Chem. 110, 647–653.




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