Metodologias sensoriais utilizadas em estudos descritivos com consumidores: Check-All-That-Apply (CATA) e suas variações

Autores

DOI:

https://doi.org/10.33448/rsd-v9i8.5705

Palavras-chave:

Análise sensorial; Consumidores; Limitações; Vantagens; Questionários.

Resumo

Os alimentos apresentam atributos sensoriais que podem ser identificados, descritos e quantificados usando métodos sensoriais descritivos. Estas metodologias têm sido utilizadas para o desenvolvimento de novos produtos, controle de qualidade, alterações na formulação e para a avaliação do prazo de validade na indústria de alimentos. As técnicas descritivas tradicionais possuem como limitações a necessidade de avaliadores treinados, devido ao alto grau de dificuldade/complexidade dessas avaliações. Outra desvantagem é o tempo necessário para realizar o treinamento, tornando o método muito caro. Para reduzir o tempo de análise e os custos das técnicas descritivas tradicionais, pesquisas recentes buscam desenvolver e validar metodologias que possibilitem descrever os alimentos por meio do uso de consumidores, evitando a necessidade de formação de painéis treinados. O objetivo foi descrever os avanços da metodologia descritiva denominada Check-All-That-Apply (CATA) e suas variações, bem como suas vantagens e limitações.

Referências

Abdi, H., & Williams, L. J. (2010). Correspondence analysis. In: Salkind, N. J., Dougherty, D. M., & Frey, B., Encyclopedia of Research Design, Thousand Oaks, Sage, 267–278.

Adams, J., Williams, A., Lancaster, B., & Foley, M. (2007). Advantages and uses of check-all-that-apply response compared to traditional scaling of attributes for salty snacks. In: 7th Pangborn sensory science symposium.

Alcantara, M. D., & Freitas-Sá, D. D. G. C. (2018). Rapid and versatile sensory descriptive methods–an updating of sensory science. Brazilian Journal of Food Technology 21, e2016179.

Alexi, N., Nanou, E., Lazo, O., Guerrero, L., Grigorakis, K., & Byrne, D. V. (2018). Check-All-That-Apply (CATA) with semi-trained assessors: Sensory profiles closer to descriptive analysis or consumer elicited data? Food Quality and Preference 64, 11-20.

Antúnez, L., Machín, L., Ares, G., & Jaeger, S. R. (2019). Visual attention to rate-all-that-apply (RATA) questions: A case study with apple images as food stimuli. Food Quality and Preference 72, 136-142.

Antúnez, L., Vidal, L., 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.

Ares, G. (2015). Methodological challenges in sensory characterization. Current Opinion in Food Science 3, 1-5.

Ares, G., Andrade, J. C., Antúnez, L., Alcaire, F., Swaney-Stueve, M., Gordon, S., & Jaeger, S. R. (2017). Hedonic product optimization: CATA questions as alternatives to JAR scales. Food Quality and Preference 55, 67-78.

Ares, G., Castura, J. C., Antúnez, L., Vidal, L., Giménez, A., Coste, B., & Jaeger, S. R. (2016). Comparison of two TCATA variants for dynamic sensory characterization of food products. Food Quality and Preference 54, 160-172.

Ares, G., Dauber, C., Fernandez, E., Gimenez, A., & Varela, P. (2014a) Penalty analysis based on CATA questions to identify drivers of liking and directions for product reformulation. Food Quality and Preference 32: 65-76.

Ares, G., Deliza, R., Barreiro, C., Giménez, A., & Gámbaro, A. (2010). Comparison of two sensory profiling techniques based on consumer perception. Food Quality and Preference 21: 417-426.

Ares, G., Etchemendy, E., Antúnez, L., Vidal, L., Giménez, A., & Jaeger, S. R. (2014b). Visual attention by consumers to check-all-that-apply questions: Insights to support methodological development. Food Quality and Preference 32, 210-220.

Ares, G., Jaeger, S. R., Bava, C. M., Chheang, S. L., Jin, D., Gim, E., Nez, A., Vidal, L., Fiszman, S. M., & Varela, P. (2013a). CATA questions for sensory product characterization: Raising awareness of biases. Food Quality and Preference 30, 114-127.

Ares, G., & Jaeger, S. R. (2013b). Check-all-that-apply questions: Influence of attribute order on sensory product characterization. Food Quality and Preference 28, 141-153.

Ares, G., & Jaeger, S. R. (2015). Check-all-that-apply (CATA) questions with consumers in practice: Experimental considerations and impact on outcome. In: Delarue J, Lawlor B (eds) Rapid sensory profiling techniques. Woodhead Publishing, Cambridge. pp 227-245.

Ares, G., Tarrega, A., Izquierdo, L., & Jaeger, S. R. (2014c). Investigation of the number of consumers necessary to obtain stable sample and descriptor configurations from check-all-that-apply (CATA) questions. Food Quality and Preference 31, 135-141.

Ares, G., & Varela, P. (2017). Trained vs. consumer panels for analytical testing: Fueling a long lasting debate in the field. Food Quality and Preference 61, 9-86.

Ares, G., Varela, P., Rado, G., & Gimenez, A. (2011). Are consumer profiling techniques equivalent for some product categories? The case of orange flavoured powdered drinks. International Journal of Food Science & Technology 46, 1600-1608.

Asioli, D., Varela, P., Hersleth, M., Almli, V. L., Olsen, N. V., & Naes, T. (2017). A discussion of recent methodologies for combining sensory and extrinsic product properties in consumer studies. A discussion of recent methodologies for combining sensory and extrinsic product properties in consumer studies. Food Quality and Preference 56, 266-273.

Bruzzone, F., Ares, G., & Gimenez, A. (2012). Consumers texture perception of milk desserts. II – Comparison with trained assessor’s data. Journal of Texture Studies 43, 214-226.

Bruzzone, F., Vidal, L., Antúnez, L., Gimenez, A., Deliza, R., & Ares, G. (2015). Comparison of intensity scales and CATA questions in new product development: Sensory characterization and directions for product reformulation of milk desserts. Food Quality and Preference 44, 183-193.

Cadena, R. S., Caimi, D., Jaunarena, I., Lorenzo, I., Vidal, L., Ares, G., Deliza, R., & Giménez, A. (2014). Comparison of rapid sensory characterization methodologies for the development of functional yogurts. Food Research International 64, 446-455.

Campo, E., Do, B. V., Ferreira, V., & Valentin, D. (2008). Aroma properties of young Spanish monovarietal white wines: a study using sorting task, list of terms and frequency of citation. Australian Journal of Grape and Wine Research 14, 104-115.

Candaten, S., Langaro, L., Vicenzi, C. B., Cavalli, N. C., Colla, L. M. (2018). Avaliação sensorial de biscoitos integrais utilizando questionário CATA. Anais do Simpósio de Alimentos 10, 1-6.

Castura, J. C. (2009) Do panellists donkey vote in sensory choose-all-that-apply questions. In: 8th Pangborn Sensory Science Symposium, 26-30, Florence.

Castura, J. C., Antúnez, L., Giménez, A., & Ares, G. (2016). Temporal Check-All-That-Apply (TCATA): A novel dynamic method for characterizing products. Food Quality and Preference 47, 79-90.

Choi, Y., & Lee, J. (2019) The effect of extrinsic cues on consumer perception: A study using milk tea products. Food Quality and Preference 71, 343-353.

Dooley, L., Lee, Y. S., & Meullenet, J. F. (2010). The application of check-all-that-apply (CATA) consumer profiling to preference mapping of vanilla ice cream and its comparison to classical external preference mapping. Food Quality and Preference 21, 394-401.

Dos Santos, B. A., Campagnol, P. B., Da Cruz, A, G., Galvão, M. T. E. L., Monteiro, R. A., Wagner, R., & Pollonio, M. A. R. (2015). Check all that apply and free listing to describe the sensory characteristics of low sodium dry fermented sausages: Comparison with trained panel. Food Research International 76, 725-734.

Drake, M. A. (2007). Invited review: sensory analysis of dairy Foods. Journal of Dairy Science 90, 4925-4937.

Esmerino, E. A., Castura, J. C., Ferraz, J. P., Tavares Filho, E. R., Silva, R., Cruz, A. G., & Bolini, H. M. (2017). Dynamic profiling of different ready-to-drink fermented dairy products: A comparative study using Temporal Check-All-That-Apply (TCATA), Temporal Dominance of Sensations (TDS) and Progressive Profile (PP). Food Research International 101, 249-258.

Greenacre, M, (2007). Correspondence analysis in practice. Chapman and Hall/CRC, London.

Henrique, N. A., Deliza, R., & Rosenthal, A. (2015). Consumer Sensory Characterization of Cooked Ham Using the Check-all-that-apply (CATA) Methodology. Food Engineering Reviews 7, 265-273.

Heo, J., Choi, K. S., Wang, S., Adhikari, K., & Lee, J. (2019). Cold Brew Coffee: Consumer Acceptability and Characterization Using the Check-All-That-Apply (CATA) Method. Foods 8, 344.

Jaeger, S. R., Alcaire, F., Hunter, D. C., Jin, D., Castura, J. C., & Ares, G. (2018). Number of terms to use in temporal check-all-that-apply studies (TCATA and TCATA Fading) for sensory product characterization by consumers. Food Quality and Preference 64, 154-159.

Jaeger, S. R., Beresford, M. K., Paisley, A. G., Antúnez, L., Vidal, L., Cadena, R. S., Giménez, A., & Ares, G. (2015). Check-all-that-apply (CATA) questions for sensory product characterization by consumers: Investigations into the number of terms used in CATA questions. Food Quality and Preference 42, 154-164.

Jaeger, S. R., Fiszman, S., Reis, F., Chheang, S. L., Kam, K., Pineau, B., Deliza, R., & Ares, G. (2017). Influence of evoked contexts on hedonic product discrimination and sensory characterizations using CATA questions. Food Quality and Preference 56, 138-148.

Jaeger, S., Leang-Chheang, S., Yin, J., Bava, C. M., Gimenez, A., Vidal, L., & Ares, G. (2013). Check-all-that-apply (CATA) responses elicited by consumers: within-assessor reproducibility and stability of sensory product characterizations. Food Quality and Preference 30, 56-67.

Kemp, S. E. (2013). Consumers as part of food and beverage industry innovation. In: Martinez MG (ed) Open innovation in the food and beverage industry. Woodhead Publishing, Cambridge, 109-138.

Kemp, B., Trussler, S., Willwerth, J., & Inglis, D. (2019). Applying temporal check‐all‐that‐apply (TCATA) to mouthfeel and texture properties of red wines. Journal Sensory Studies 34: e12503.

Krosnick JA (1999) Survey research. Annual Review of Psychology 50, 537-567.

Lado, J., Vicente, E., Manzzioni, V., & Ares, G. (2010). Application of a check-all-that-apply question for the evaluation of strawberry cultivars from a breeding program. Journal of the Science of Food and Agriculture 90, 2268-2275.

Le Calvé, B., Saint-Léger, C., Gaudreau, N., & Cayeux, I. (2019). Capturing key sensory moments during biscuit consumption: Using TDS to evaluate several concurrent sensory modalities. Journal of Sensory Studies 34, e12529.

Mammasse, N., & Schlich, P. (2014). Adequate number of consumers in a liking test. Insights from resampling in seven studies. Food Quality and Preference 31, 124–128.

McMahon, K. M., Culver, C., Castura, J. C., & Ross, C. F. (2017). Perception of carbonation in sparkling wines using descriptive analysis (da) and temporal check-all-that-apply (TCATA). Food Quality and Preference 59, 14-26.

Meyners, M., & Castura, J. (2014). Check All That Apply Questions. Novel Techniques in Sensory Characterization and Consumer Profiling.

Meyners, M., & Castura, J. C. (2016). Randomization of CATA attributes: Should attribute lists be allocated to assessors or to samples? Food Quality and Preference 48, 210-215.

Meyners, M., & Castura, J. C. (2018). The analysis of temporal check-all-that-apply (TCATA) data. Food Quality and Preference 67, 67-76.

Meyners, M., Castura, J. C., & Carr, B. T. (2013). Existing and new approaches for the analysis of CATA data. Food Quality and Preference 30, 309-319.

Meyners, M., Jaeger, S. R., & Ares, G. (2016). On the analysis of rate-all-that-apply (RATA) data. Food Quality and Preference 49, 1-10.

Meyners, M., & Pineau, N. (2010). Statistical inference for temporal dominance of sensations data using randomization tests. Food Quality and Preference 21, 805-814.

Mitchell, J., Castura, J. C., Thibodeau, M., & Pickering, G. (2019). Application of TCATA to examine variation in beer perception due to thermal taste status. Food Quality and Preference 73, 135-142.

Nguyen, Q. C., Nas, T., & Varela, P. (2018). When the choice of the temporal method does make a difference: TCATA, TDS and TDS by modality for characterizing semi-solid foods. Food Quality and Preference 66, 95-106.

Oppermann, A. K. L., Graaf, C., Scholten, E., Stieger, M., & Piqueras-Fiszman, B. (2017). Comparison of Rate-All-That-Apply (RATA) and Descriptive Sensory Analysis (DA) of model double emulsions with subtle perceptual diferences. Food Quality and Preference 56, 55-68.

Parente, M. E., Ares, G., & Manzoni, A. V. (2011). Application of two consumer profiling techniques to cosmetic emulsions. Journal of Sensory Studies 2, 685-705.

Plaehn, D. (2012). CATA penalty/reward. Food Quality and Preference, 24, 141-152.

Ramsey, I., Ross, C., Ford, R., Fisk, I., Yang, Q., Gomez-Lopez, J., & Hort, J. (2018). Using a combined temporal approach to evaluate the influence of ethanol concentration on liking and sensory attributes of lager beer. Food Quality and Preference 68, 292-303.

Rasinski, K. A., Mingay, D., & Bradburn, N. M. (1994). Do respondents really “mark all that apply” on self-administered questions? Public Opinion Quarterly 58, 400-408.

Reinbach, H. C., Giacalone, D., Ribeiro, L. M., Bredie, W. L., & Frost, M. B. (2014). Comparison of three sensory profiling methods based on consumer perception: CATA, CATA with intensity and Napping®. Food Quality and Preference 32, 160-166.

Rizo, A., Peña, E., Alarcon-Rojo, A. D., Fiszman, S., & Tárrega, A. (2019). Relating texture perception of cooked ham to the bolus evolution in the mouth. Food Research International 118, 4-12.

Ruark, A., Vingerhoeds, M. H., Kremer, S., Nijenhuis-de Vries, M. A., & Piqueras-Fiszman, B. (2016). Insights on older adults’ perception of at-home sensory-hedonic methods: A case of Ideal Profile Method and CATA with ideal. Food Quality and Preference 53, 29-38.

Schlich, P. (2017). Temporal Dominance of Sensations (TDS): A new deal for temporal sensory analysis. Current Opinion in Food Science 15, 38-42.

Tate, M. W., & Brown, S. M. (1970). Note on the Cochran Q test. Journal of the American Statistical Association 65, 155-160.

Thomas, A., Visalli, M., Cordelle, S., & Schlich, P. (2015). Temporal drivers of liking. Food Quality and Preference 40, 365-375.

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.

Varela, P., Pintor, A., & Fiszman, S. (2014). How hydrocolloids affect the temporal oral perception of ice cream. Food Hydrocolloids 36, 220-228.

Vidal, L., Ares, G., Hedderley, D. I., Meyners, M., & Jaeger, S. R. (2018). Comparison of rate-all-that-apply (RATA) and check-all-that-apply (CATA) questions across seven consumer studies. Food Quality and Preference 67, 49-58.

Vidal, L., Castura, J. C., Coste, B., Picallo, A., Jaeger, S. R., & Ares, G. (2017). Analysis of TCATA Fading data: Imputation of gaps in temporal profiles. Food Quality and Preference 59, 114-212.

Worch, T., & Punter, P. H. (2015) Ideal profiling as a sensory profiling technique. In: Delarue J, Lawlor JB, Rogeaux M (eds) Rapid Sensory Profiling Techniques, Woodhead Publishing, Cambridge, pp. 307-332.

Wu, A. Z., Lee, R. W., Le Calvé, B., & Cayeux, I. (2019). Temporal profiling of simplified lemonade using temporal dominance of sensations and temporal check‐all‐that‐apply. Journal Sensory Studies 34, e12531.

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Publicado

11/07/2020

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TIEPO, C. B. V.; WERLANG, S.; REINEHR, C. O.; COLLA, L. M. Metodologias sensoriais utilizadas em estudos descritivos com consumidores: Check-All-That-Apply (CATA) e suas variações. Research, Society and Development, [S. l.], v. 9, n. 8, p. e407985705, 2020. DOI: 10.33448/rsd-v9i8.5705. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/5705. Acesso em: 13 jun. 2025.

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