A mixed model applied to joint analysis in experiments with coffee blends using the least squares method

Allana Lívia Beserra Paulino, Marcelo Angelo Cirillo, Diego Egídio Ribeiro, Flávio Meira Borém, Gabriel Carvalho Matias

Resumo


The aim of the present study was to propose a mixed model for a sensory analysis of four experiments with blends of different standards of quality, including the species Coffea Arabica L. and Coffea Canephora. Each experiment differed in the proportions used to formulate the blends and the concentrations used in preparing the beverages, these being 7% and 10% coffee powder for each 100 ml of water. The response variables under analysis were the sensory characteristics of the beverage found in an assessment made by a group of trained tasters, considering taste, bitterness and a final score. Each description followed a numerical rating scale of intensity that ranged from 0 to 10. The model was implemented using the least squares method; this led to the conclusion that including random parameters in the model, represented by the experiments, made it possible to compare the effect of each component simultaneously for each of the experiments.


Palavras-chave


Processing; Quality; Arabica; Conillon

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Referências


BORÉM, F. M. et al.Evaluation of the sensory and color quality of coffee beans stored in hermetic packaging. Journal of Stored Products Research, v. 52, p. 1-6, 2013.

BORÉM, F. M. et al. Qualidade do café natural e despolpado após secagem em terreiro e com altas tempestades. Ciência e Agrotecnologia, v. 32, n. 5, p. 1609-1615, 2008.

BRIGHENTI, C. R. G.; CIRILLO, M. A. Analysis of defects in coffee beans compared to biplots for simultaneous tables. Revista Ciência Agronômica, v. 49, n. 1, p. 62-69, 2018.

CIRILLO, M. A. Otimização na experimentação: aplicações nas engenharias e ciências agrárias. Lavras: Editora UFLA, 2015. 226 p.

FARAH, A. et al. Effect of roasting on the formation of chlorogenicacid lactones in coffee. Journal of Agricultural and Food Chemistry, v. 53, n. 5, p. 1105-1113, 2005.

FERNANDES, S. M. et al.Constituintes químicos e teor de extrato aquoso de cafés Arábia (Coffeaarabica L.) e conollon (Coffeacanephora Pierre) torrados. Ciência e Agrotecnologia, v. 27, n. 5, p. 1076-1081, 2003.

FERREIRA, H. A. et al. Selecting aprobabilistic model applied to the sensory analysis of specialty coffees performed with consumer. IEEE Latin America Transactions, v. 14, n. 3, 2016.

ISQUIERDO, E. P. et al. Qualidade do café cereja desmucilado submetido ao parcelamento da secagem. Coffee Science, v. 6, n. 1, p. 83-90, 2011.

IVOGLO, M. G et al. Divergência genética entre progênies de café robusta. Bragantia, v. 67, n. 4, p. 823-831, 2008.

KALIRAJAN, K. P. On the estimation of a regression model with fixed and random coefficients. Journal of Applied Statistics, v. 17, n. 2, p. 237-244, 1990.

LISKA, G. R. et al. Evaluation of sensory panels of consumers of specialty coffee beverages using the boosting method in discriminant analysis. Semina: Ciências Agrárias, v. 36, n. 6, p. 3671-3680, 2015.

MONTEIRO, M. A. M. et al. Influência da torra sobre a aceitação da bebida café. Revista Ceres, v. 57, n. 2, p. 145-150, 2010.

MOURA, S. C. S. R. et al. Influência dos parâmetros de torração nas características físicas, químicas e sensoriais do café Arábia puro. Brazilian Journal of Food Technology, v. 10, n. 1, p. 17-25, 2007.

OSSANI, P. C. et al. Qualidade de cafés especiais: uma avaliação sensorial feita com consumidores utilizando a técnica MFACT. Revista Ciência Agronômica, v. 48, n. 1, p. 92-100, 2017.

R CORE TEAM. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for StatisticalComputing, 2017. Disponível em:. Acesso em: 14/04/2018.

RAMOS, M. F. et al. Discrimination of the sensory quality of the Coffeaarabica L. (cv. Yellow Bourbon) produced in different altitudes using decision trees obtained by the CHAID method. Journal of the Science of Food and Agriculture, v. 96, n. 10, p. 3543-3551, 2016.

RIBEIRO, B. B. et al. Aceitação química e sensorial de blends de Coffeacanephora Pierre e Coffeea Arábica L. Coffea Science, v. 9, n. 2, p. 178-186, 2014.

RIBEIRO, D. E. et al. Interaction of genotype, environment and processing in the chemical composition expression and sensorial quality of Arabica coffee. African Journal of Agricultural Research, v. 11, n. 27, p. 2412-2422, 2016.

RIBEIRO, F. C. et al. Storage of green coffee in hermetic packaging injected with CO 2. Journal of Stored Products Research, v. 47, n. 4, p. 341-348, 2011.

SWAMY, P. A. V. B. Statistical inference in random coefficient regression models.Amsterdam: Springer Science & Business Media, 1971. 209 p.

VILLAFRANCA, R. R. Diseño de experimentos para laoptimización de mezclas. Castellon: ATC, 1999.




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