Eficiencia de las pruebas discriminatorias para reportar diferencias cuando se utilizan consumidores ecuatorianos

Efficiency of discrimination tests on ecuadorian consumers to find out differences

  • Yamila Álvarez-Coureaux Instituto de Evaluación Sensorial de Alimentos (INESA), Ecuador
  • Angélica Tutasi-Lozada Universidad San Francisco de Quito. Ecuador
  • Juan Esteban Diaz-Leiva Universidad San Francisco de Quito. Ecuador
  • Ada Manresa-González Universidad de La Habana, Cuba.
Palabras clave: Análisis sensorial, pruebas discriminatorias, modelo Thurstoniano

Resumen

En las pruebas de diferencia el desempeño de los jueces varía en función de la prueba utilizada. Pilsener y Brahma, dos cervezas producidas en el Ecuador, fueron utilizadas como estímulos en el estudio. Un grupo de 121 consumidores realizaron las cuatro pruebas de diferenciación: dúo-trío, triangular, igual- diferente y ABX. El objetivo de este artículo fue evaluar la eficacia de las pruebas de diferencia en consumidores ecuatorianos. Los datos fueron analizados por la metodología tradicional y mediante la aplicación del modelo thurstoniano. El ensayo ABX obtuvo el mayor número de aciertos (76), seguida por la dúo- trío, igual-diferente y finalmente la triangular. Se encontró diferencia significativa para todas las pruebas (α= 0.05). El análisis de la frecuencia de aciertos de cada juez reveló que sólo ocho evaluadores acertaron en los cuatro ensayos empleados. La prueba ABX tuvo la mayor magnitud percibida en los estímulos confundibles, con un valor d’ de 1,32. El análisis a partir del modelo de Thurstone brindó la posibilidad de comparar las cuatros pruebas a partir de los d’ obtenidos, esta es una medida fundamental e independiente de la metodología sensorial utilizada.

Abstract

In discrimination tests the performance of judges varies depending on the test used. Brahma and Pilsener, two beers produced in Ecuador, were used as stimuli in the study. A group of 121 consumers conducted four discrimination tests: duo-trio, triangle, same-different and ABX. The purpose of this paper was to evaluate the efficacy of sensory discrimination tests on ecuedorian consumers. The data were analyzed by the traditional methodology and by applying the Thurstonian model. The ABX test achieved the highest number of hits (76), followed by the duo-trio, same-different and finally the triangular. All tests were significantly different (α= 0.05). The analysis of the frequency of hits of each panelist revealed that only eight evaluators answered correctly in the four tests used. The ABX test had the highest perceived magnitude confusable stimuli, with a value d’ of 1.32. The analysis from Thurstone model provided an opportunity to compare the four tests from d’ obtained, which is a fundamental and independent measurement in sensory methodology applied.

Key words: Sensory evaluation, discrimination tests, Thurstonian model.

Citas

Alfaro, H., O.Angulo & M. O’Mahony. 2007. Be your own placebo: a double paired preference test approach for establishing expected frequencies. Food Quality and Preference 18(2): 353- 361 https://doi.org/10.1016/j.foodqual.2006.02.009

American Society for Testing and Materials. 2003. Standard Practice for Estimating Thurstonian Discriminal Distances. E 2262-03. Filadelfia. ASTM.

Angulo, O. & M. O’Mahony. 2009a. Aplicación del modelo de Thurstone a las pruebas sensoriales de diferencia. Archivos Latinoamericanos de Nutrición 59(4): 349-357. http://ve.scielo.org/scielo.php?pid=S0004-06222009000400001&script=sci_abstract

Angulo, O. & M. O’Mahony. 2009b. Las pruebas de preferencia en alimentos son más complejas de lo imaginado. Interciencia 34(3): 177-181. http://ve.scielo.org/scielo.php?script=sci_arttext&pid=S0378-18442009000300007

Bi, J. & D. M. Ennis. 1998. A Thurstonian variant of the beta-binomial model for replicated difference tests. Journal of Sensory Studies 13(4): 461-466. https://doi.org/10.1111/j.1745-459X.1998.tb00100.x

Braun, V., M. Rogeaux, N. Schneid, M. O’Mahony & B. Rousseau. 2004. Corroborating the 2-AFC and 2-AC Thurstonian models using both a model system and sparkling water. Food Quality and Preference 15(6): 501-507. https://doi.org/10.1016/j.foodqual.2003.10.002

Carpenter, R. P., D.H. Lyon & T.A. Hasdell. 2002. Análisis Sensorial en el Desarrollo y Control de la Calidad de Alimentos. Editorial Acribia. ISBN 9788420009889.

Ennis, D. M. 1990. Relative power of difference testing methods in sensory evaluation. Food Technology 44(4): 114-118.

Ennis, D. M. 1993b. The power of sensory discrimination methods. Journal of Sensory Studies 8(4): 353-370. https://doi.org/10.1111/j.1745-459X.1993.tb00225.x

Frijters, J. E. R. 1979b. Variations of the triangular method and the relationship of its unidimensional probabilistic models to three-alternative forced choice signal detection theory models. British Journal of Mathematical and Statistical Psychology 32: 229-241.

Frijters, J. E. R. 1982. Expanded tables for conversion of a proportion of correct responses (Pc) to the measure of sensory difference (d’) for the triangular method and the 3- alternative forced choice procedure. Journal of Food Science 47(1): 139-143. https://doi.org/10.1111/j.1365-2621.1982.tb11045.x

Frijters, J. E. R., A. Kooistra & P. F. G. Vereuken. 1980. Tables of d’ for the triangular method and the 3-AFC signal detection procedure. Perception & Psychology 27: 176-178. https://doi.org/10.3758/BF03204306

Green, D. M. & J. A. Swets. 1966. Signal Detection Theory and Psychophysics. Ed. John Wiley and Sons. ISBN 0471324205, 9780471324201.

Hacker, M. J. & R. A. Ratcliff. 1979. Revised table of d’ for M-alternative forced choice. Perception & Psychophysics 26(2): 168- 170. https://doi.org/10.3758/BF03208311

Huang, Y. T. & H. T. Lawless. 1998. Sensitivity of de ABX discrimination test. Journal of Sensory Studies 13(2): 229-239. https://doi.org/10.1111/j.1745-459X.1998.tb00085.x

International Organization for Standardization. ISO 4120:2004. Sensory analysis–Methodology- Triangular test. https://www.iso.org/obp/ui/#iso:std:iso:4120:ed-3:v1:en

International Organization for Standardization. ISO 6658:2005. Análisis sensorial. Metodología. Guía general.

International Organization for Standardization. ISO 5495: 2005. Sensory analysis–Methodology–Paired comparison test.

International Organization for Standardization. ISO 10399:2004. Metodología. Prueba dúo trío.

O’Mahony, M. & L. R. Goldstein. 1986. Effectiveness of sensory difference tests: sequential sensitivity analysis for liquid food stimuli. Journal of Food Science 51(6): 1550-1553. https://doi.org/10.1111/j.1365-2621.1986.tb13857.x

O’Mahony, M. & L. R. Goldstein. 1987. Tasting successive salt and water stimuli: the roles of adaptation, variability in physical signal strength, learning, supra- and subadapting signal detectability. Chemical Senses 12(3): 425-436. https://doi.org/10.1093/chemse/12.3.425

O’Mahony, M., S. Masuoka & R. Ishill. 1994. A theoretical note on difference tests: models, paradoxes and cognitive strategies. Journal of Sensory Studies 9(3): 247-272. https://doi.org/10.1111/j.1745-459X.1994.tb00246.x

O’Mahony, M. & N. Odbert. 1985. A comparison of sensory difference testing procedures sequential sensitivity analysis and aspects of taste adaptation. Journal of Food Science 50(4): 1055-1058. https://doi.org/10.1111/j.1365-2621.1985.tb13011.x

O’Mahony, M. & B. Rousseau. 2002. Discrimination testing: a few ideas, old and new. Food Quality and Preference 14(2): 157-164. Discrimination testing: a few ideas, old and new. Food Quality and Preference

Thurstone, L. L. 1927a. A law of comparative judgment. Psychological Review 34(4): 278-286. https://psycnet.apa.org/doi/10.1037/h0070288

Thurstone, L. L 1927b. Psychophysical analysis. American Journal of Psychology 38(3): 368-389. https://doi.org/10.2307/1415006

Publicado
2020-11-04
Cómo citar
Álvarez-Coureaux, Y., Tutasi-Lozada, A., Diaz-Leiva, J. E., & Manresa-González, A. (2020). Eficiencia de las pruebas discriminatorias para reportar diferencias cuando se utilizan consumidores ecuatorianos: Efficiency of discrimination tests on ecuadorian consumers to find out differences. TECNOCIENCIA Chihuahua, 4(1), 12-20. https://doi.org/10.54167/tch.v4i1.721