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Preference Sorting as a tool for Dulce de Leches' drivers of liking determination
Author(s) -
Rodrigues Jéssica Ferreira,
Souza Vanessa Rios,
Sousa Amorim Isabel,
Lima Renato Ribeiro,
Freitas Mônica Queiroz,
Esmerino Erick Almeida,
Cruz Adriano Gomes,
Pinheiro Ana Carla Marques
Publication year - 2021
Publication title -
journal of sensory studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.61
H-Index - 53
eISSN - 1745-459X
pISSN - 0887-8250
DOI - 10.1111/joss.12634
Subject(s) - sorting , task (project management) , preference , product (mathematics) , computer science , consumption (sociology) , quality (philosophy) , similarity (geometry) , psychology , artificial intelligence , statistics , mathematics , engineering , social science , philosophy , geometry , systems engineering , epistemology , sociology , image (mathematics) , programming language
Sensory descriptive methods are useful tools for quality control and product development. In recent years, faster methods (such as Sorting task), which do not require trained sensory panels, have been increasingly implemented to save time and consumption. Sorting task is a simple procedure for collecting similarity data, in which each assessor groups stimuli based on their perceived similarities, following or not by the samples description. Several variations of this method have been developed and presented. However, none of these approaches focused mainly on determining attributes that drive product acceptance. Thus, it is important to evaluate some tasks variations to establish recommendations about procedures useful for screening numerous samples, considering their characteristics that most contribute to their acceptance. Therefore, this study assessed three sorting task variations, varying the sorting criteria—based on similarities or based on acceptance, to assess Dulce de leche drivers of liking. Sorting criteria and the sensory description task influenced sensory results. Focusing on drivers of liking determination, grouping criteria based on preference (suggested name as Preference Sorting ), following the description of the characteristics that most contribute to product acceptance, seems to be interesting. Practical application The findings of this study show practical utility for consumer‐based methodologies, focusing on sorting task and drivers of liking determination. In addition, they are useful for Brazilian Dulce de leche producers as it enables understanding the consumer preferences to plan production, marketing, and commercialization strategies.