Vol. 22 Núm. 2 (2020)
Artículo original

Comparación del Perfil Flash y Napping®-UPF en la caracterización sensorial de hot-dog

Gustavo Gavino Puma-Isuiza
Universidad Nacional Agraria La Molina, Lima, Perú
Carlos Núñez-Saavedra
Universidad Nacional Agraria La Molina, Lima, Perú

Publicado 2020-05-30

Palabras clave

  • salchicha,
  • análisis factorial múltiple,
  • análisis Procrustes generalizado,
  • Ingeniería Kansei

Cómo citar

Puma-Isuiza, G. G. ., & Núñez-Saavedra, C. (2020). Comparación del Perfil Flash y Napping®-UPF en la caracterización sensorial de hot-dog. Revista De Investigaciones Altoandinas - Journal of High Andean Research, 22(2), 135-145. https://doi.org/10.18271/ria.2020.601

Resumen

Se evaluó la similitud entre las técnicas Perfil Flash y Napping®-Ultra Perfil Flash (Napping® -UPF) mediante el coeficiente de correlación vectorial (Rv). Para ello, se caracterizaron sensorialmente dos marcas de hot-dog comerciales del mercado limeño y dos formulaciones obtenidas por Ingeniería Kansei. En el Perfil Flash los consumidores generaron y calificaron sus propios descriptores, que fueron procesados mediante el análisis Procrustes generalizado. En el Napping® -UPF los consumidores posicionaron y describieron las muestras de hot-dog en una hoja tamaño A3. Las coordenadas (x, y) de cada muestra y los términos descriptivos fueron procesados usando el análisis factorial múltiple. El índice de consenso (Rc = 61,2 %) y la superposición de las elipses de confianza en las muestras HD2.1 y HD2.2 evidenciaron que, éstas no tenían una diferencia sensorial significativa (p-valor < 0,05). Finalmente, el valor del Rv (0,93) determinó una alta similitud entre ambas técnicas sensoriales.

Referencias

  1. Antúnez, L., Vidal, L., de Saldamando, L., Giménez, A., & Ares, G. (2017). Comparison of consumer-based methodologies for sensory characterization: Case study with four sample sets of powdered drinks. Food Quality and Preference, 56, 149-163. https://doi.org/10.1016/j.foodqual.2016.09.013
  2. Cadoret, M., & Husson, F. (2013). Construction and evaluation of confidence ellipses applied at sensory data. Food Quality and Preference, 28(1), 106-115. https://doi.org/10.1016/j.foodqual.2012.09.005
  3. Cartier, R., Rytz, A., Angèle, L., Poblete, F., Krystlik, J., Belin, E., & Martin, N. (2006). Sorting procedure as an alternative to quantitative descriptive analysis to obtain a product sensory map. Food Quality and Preference, 17, 562-571. https://doi.org/10.1016/j.foodqual.2006.03.020
  4. Dairou, V., & Sieffermann, J. M. (2002). A Comparison of 14 Jams Characterized by Conventional Profile and a Quick Original Method , the Flash Profile. Journal of Food Science, 67(2), 826-834. https://doi.org/https://doi.org/10.1111/j.1365-2621.2002.tb10685.x
  5. Dehlholm, C., Brockhoff, P. B., & Bredie, W. L. P. (2012). Confidence ellipses : A variation based on parametric bootstrapping applicable on Multiple Factor Analysis results for rapid graphical evaluation. Food Quality and Preference, 26(2), 278-280. https://doi.org/10.1016/j.foodqual.2012.04.010
  6. Delarue, J., Lawlor, J. Ben, & Rogeaux, M. (2015). Rapid Sensory Profi ling Techniques and Related Methods. Cambridge: Woodhead Publishing.
  7. Delarue, J., & Sieffermann, J. (2004). Sensory mapping using Flash profile. Comparison with a conventional descriptive method for the evaluation of the flavour of fruit dairy products, 15, 383-392. https://doi.org/10.1016/S0950-3293(03)00085-5
  8. Elías, C., Chirinos, R., & Salvá, B. K. (2000). Elaboración de embutidos. Lima: Universidad Nacional Agraria la Molina.
  9. Fariña, L., Villar, V., Ares, G., Carrau, F., Dellacassa, E., & Boido, E. (2015). Volatile composition and aroma profile of Uruguayan Tannat wines. Food Research International, 69, 244-255. https://doi.org/10.1016/j.foodres.2014.12.029
  10. Faye, P., Brémaud, D., Teillet, E., Courcoux, P., Giboreau, A., & Nicod, H. (2006). An alternative to external preference mapping based on consumer perceptive mapping. Food Quality and Preference, 17, 604-614. https://doi.org/10.1016/j.foodqual.2006.05.006
  11. Hernández-cervantes, M., López-velázquez, J., Gómez-alvarado, T., Santiago-cabrera, R., Ramón-canul, L. G., Delgado-vidal, F. K., … Ramírez-rivera, E. D. J. (2010). Comparación de la descripción sensorial del queso fresco “cuajada” mediante el análisis descriptivo cuantitativo y el perfil flash. Ciencia y Mar, 42, 3-12.
  12. Husson, F., & Cadoret, M. (2012). Confidence ellipses in holistic approaches. En 12th European Symposium on Statistical Methods for the Food Industry. Paris.
  13. Jack, F. R., & Piggott, J. R. (1991). Free Choice Profiling in consumer research. Food Quality and Preference, 2, 129-134. https://doi.org/https://doi.org/10.1016/0950-3293(91)90048-J
  14. Le, M. T. (2015). Réflexions méthodologiques autour du Napping : vers une intégration du comportement du sujet dans l’analyse des données de Napping. Recuperado de https://tel.archives-ouvertes.fr/tel-01534044
  15. Lê, S., & Husson, F. (2008). SensoMineR : A Package for sensory data analysis. Journal of Sensory Studies, 23(1), 14-25. https://doi.org/https://doi.org/10.1111/j.1745-459X.2007.00137.x
  16. Lê, S., Josse, J., & Husson, F. (2008). FactoMineR : An R Package for Multivariate Analysis. JournalofStatisticalSoftware, 25(1), 1-18.
  17. Mak, A. H. N., Lumbers, M., Eves, A., & Chang, R. C. Y. (2013). International Journal of Hospitality Management An application of the repertory grid method and generalised Procrustes analysis to investigate the motivational factors of tourist food consumption. International Journal of Hospitality Management, 35, 327-338. https://doi.org/10.1016/j.ijhm.2013.07.007
  18. Moussaoui, K. A., & Varela, P. (2010). Exploring consumer product profiling techniques and their linkage to a quantitative descriptive analysis. Food Quality and Preference, 21, 1088-1099. https://doi.org/10.1016/j.foodqual.2010.09.005
  19. Naes, T., & Risvik, E. (1996). Multivariate analysis of data in sensory science.
  20. Pagès, J. (2005). Collection and analysis of perceived product inter-distances using multiple factor analysis : Application to the study of 10 white wines from the Loire Valley. Food Quality and Preference, 16, 642-649. https://doi.org/10.1016/j.foodqual.2005.01.006
  21. Perrin, L., Symoneaux, R., Maître, I., Asselin, C., Jourjon, F., & Pagès, J. (2008). Comparison of three sensory methods for use with the Napping procedure : Case of ten wines from Loire valley. Food Quality and Preference, 19, 1-11. https://doi.org/10.1016/j.foodqual.2007.06.005
  22. Puma-Isuiza, G. G., & Núñez-Saavedra, C. (2018a). Desarrollo de hot-dog a base de carne de pollo (Gallus gallus) mediante la Ingeniería Kansei Tipo II. Anales científicos, 79(1), 201-209. https://doi.org/http://dx.doi.org/10.21704/ac.v79i1.1164
  23. Puma-Isuiza, G. G., & Núñez-Saavedra, C. (2018b). Caracterización sensorial mediante perfil Flash de dos marcas de hot-dog de pollo comerciales y dos muestras formulados por ingeniería Kansei Tipo II. Anales científicos, 79(1), 194-200. https://doi.org/http://dx.doi.org/10.21704/ac.v79i1.1163
  24. Ramírez-Rivera, E. D. J., Ramón-Canul, L. G., Camacho-Escobar, M. A., Reyes-Borques, V., Rodríguez-delaTorre, M., & Shain Mercado, A. J. (2010). Correlación entre el perfil descriptivo cuantitativo y perfil flash de hamburguesas de pescado barrilete negro (Euthynnus lineatus). NACAMEH, 4(2), 55-68.
  25. Ramírez, E. D. J., Paz, E., & Nogueira, H. (2011). Caracterización sensorial y análisis de las preferencias de los consumidores de frituras tipo chips de malanga (Colocasia esculenta). RVCTA, 2(2), 277-292.
  26. Rason, J., Léger, L., & Dufour, E. (2006). Relations between the know-how of small-scale facilities and the sensory diversity of traditional dry sausages from the Massif Central in France. European Food Research and Technology, 222, 580-589. https://doi.org/10.1007/s00217-005-0146-3
  27. Robert, P., & Escoufier, Y. (1976). A Unifying Tool for Linear Multivariate Statistical Methods: The RV-Coefficient. Journal of the Royal Statistical Society. Series C (Applied Statistics), 25(3), 257-265.
  28. Santos, B. A., Pollonio, M. A. R., Cruz, A. G., Messias, V. C., Monteiro, R. A., Oliveira, T. L. C., … Bolini, H. M. A. (2013). Ultra- flash profile and projective mapping for describing sensory attributes of prebiotic mortadellas. Food Research International, 54, 1705-1711. https://doi.org/10.1016/j.foodres.2013.09.022
  29. Silva, R. J., Huamán, M. A., Hurtado, K., Bravo, N., & Silva, A. S. (2016). Caracterización sensorial de salsa a base de hongos (Pleurotus ostreatus ) mediante la técnica Perfil Flash. Revista Venezolana de Ciencia y Tecnología de Alimentos, 7(1), 1-16.
  30. Thamke, I., Dürrschmid, K., & Rohm, H. (2009). Sensory description of dark chocolates by consumers. Food Science and Technology, 42, 534-539. https://doi.org/10.1016/j.lwt.2008.07.006
  31. Tomic, O. (2013). Differences between Generalised Procrustes Analysis and Multiple Factor Analysis in the case ofprojective mapping. Norwegian University of Life Sciences.
  32. Varela, P., & Ares, G. (2012). Sensory profiling, the blurred line between sensory and consumer science. A review of novel methods for product characterization. Food Research International, 48, 893-908. https://doi.org/10.1016/j.foodres.2012.06.037
  33. Varela, P., & Ares, G. (2014). Novel Techniques in Sensory Characterization and Consumer Profiling. Boca Raton: CRC Press. https://doi.org/https://doi.org/10.1201/b16853
  34. Wu, W., Guo, Q., Jong, S. De, & Massart, D. L. (2002). Randomisation test for the number of dimensions of the group average space in generalised Procrustes analysis. Food Quality and Preference, 13, 191-200. https://doi.org/https://doi.org/10.1016/S0950-3293(02)00024-1