Qualidade de cafés especiais: uma avaliação sensorial feita com consumidores utilizando a técnica MFACT
Data
2017-01
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Editor
Universidade Federal do Ceará
Resumo
A qualidade sensorial de cafés especiais, cujas características se relacionam com o meio geográfico é apreciada pelo setor produtivo e o mercado, no qual, uma relação comercial é pautada na livre escolha, por parte do consumidor e na agregação de valores e diferenciação de preços em função da qualidade do produto. Neste cenário, focar as tendências dos consumidores é primordial para que um café seja diferenciado em relação aos demais; para isso, novas metodologias de análise devem ser exploradas para que os resultados sejam dignos de contemplaram inúmeros fatores inerentes às particularidades de cada consumidor e/ou produto. Com esse propósito, o objetivo desse artigo é propor o uso da técnica de múltiplos fatores aplicada a tabelas de contingência (MFACT), em dados categorizados obtidos em um experimento sensorial realizado com diferentes grupos de consumidores com a finalidade de identificar similaridades entre quatro cafés especiais. Concluiu-se que o uso dessa técnica é viável, por permitir discriminar os cafés especiais produzidos em diferentes ambientes (altitudes) e processamentos, considerando a heterogeneidade entre os consumidores envolvidos na análise sensorial.
The sensory quality of specialty coffees, whose characteristics are related to the geographical environment, is appreciated by both the productive sector and the market, where the commercial relationship is guided by free choice on the part of the consumer, and the added value and price differentiation which depend on the quality of each product. In such a scenario, focusing on consumer trends is fundamental if one coffee is to be seen as different to the others. For that reason, new methods of analysis should be investigated so that the results are able to take into account the many factors which are inherent to the peculiarities of each customer and/or product. To that end, the aim of this paper is to propose the use of a technique of Multiple Factor Analysis for Contingency Tables (MFACT) on categorised data from a sensory experiment conducted with different groups of consumers, for the purpose of identifying similarities between four speciality coffees. It was concluded that the use of this technique is feasible, as it allows discrimination of specialty coffees produced in different environments (altitudes) and processing methods, considering the heterogeneity between consumers involved in the sensory analysis.
The sensory quality of specialty coffees, whose characteristics are related to the geographical environment, is appreciated by both the productive sector and the market, where the commercial relationship is guided by free choice on the part of the consumer, and the added value and price differentiation which depend on the quality of each product. In such a scenario, focusing on consumer trends is fundamental if one coffee is to be seen as different to the others. For that reason, new methods of analysis should be investigated so that the results are able to take into account the many factors which are inherent to the peculiarities of each customer and/or product. To that end, the aim of this paper is to propose the use of a technique of Multiple Factor Analysis for Contingency Tables (MFACT) on categorised data from a sensory experiment conducted with different groups of consumers, for the purpose of identifying similarities between four speciality coffees. It was concluded that the use of this technique is feasible, as it allows discrimination of specialty coffees produced in different environments (altitudes) and processing methods, considering the heterogeneity between consumers involved in the sensory analysis.
Descrição
Palavras-chave
Altitude, Análise de correspondência, Consumidores, Processamento
Citação
OSSANI, P. C. et al. Qualidade de cafés especiais: uma avaliação sensorial feita com consumidores utilizando a técnica MFACT. Revista Ciência Agronômica, Fortaleza, v. 48, n. 1, p. 92-100, jan.-mar., 2017.