Propositions on the Optimal Number of Q-Graders and R-Graders

Author:

Louzada Pereira Lucas1ORCID,Carvalho Guarçoni Rogério2,Soares de Souza Gustavo2,Brioschi Junior Dério3,Rizzo Moreira Taís4ORCID,Schwengber ten Caten Carla1

Affiliation:

1. Departamento de Engenharia de Produção e Transportes, Universidade Federal do Rio Grande do Sul (UFRGS), Avenida Osvaldo Aranha 99, 5° Andar, 90035-190 Porto Alegre, RS, Brazil

2. Capixaba Institute for Technical Assistance, Research and Rural Extension, Department of Statistics, Rua Afonso Sarlo 160, Bento Ferreira, 29052-010 Vitória, ES, Brazil

3. Federal Institute of Espírito Santo, Food Science and Technology Program, Rua Elizabeth Minete Perim, S/N, Bairro São Rafael, 29375-000 Venda Nova do Imigrante, ES, Brazil

4. Center of Agricultural Sciences and Engineering, Federal University of Espírito Santo, Alto Universitário, S/N, Guararema, 29500-000 Alegre, ES, Brazil

Abstract

Sensory analysis or cup testing has been widely used in the coffee production chain for the validation of final quality. The tasters are responsible for defining the patterns and qualitative profiles of the drink based on the sensorial analysis and according to their gustatory sensibilities, which are often acquired by professional experience. However, the literature has not discussed in detail the relationship between the number of tasters and the consistency of sensorial analysis. Thus, using the bootstrap simulation methodology to estimate the optimum plot size, this study quantifies and proposes a specific number of tasters for the process of sensorial analysis of specialty coffees. The results indicate that the use of 6 tasters is sufficient to conduct sensorial analysis following SCA and BSCA protocol for coffees in the Arabica group, as well as 6 tasters for coil and Conilon coffees. From this number, no gains in precision are observed in the process of sensorial analysis of coffee with addition tasters.

Funder

Federal Institute of Espírito Santo

Publisher

Hindawi Limited

Subject

Safety, Risk, Reliability and Quality,Food Science

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