학술논문

Using Single Free Sorting and Multivariate Exploratory Methods to Design a New Coffee Taster's Flavor Wheel
Document Type
article
Source
Journal of Food Science. 81(12)
Subject
Agricultural
Veterinary and Food Sciences
Food Sciences
Cluster Analysis
Coffee
Food Handling
Food Technology
Fruit
Humans
Kansas
Multivariate Analysis
Odorants
Reproducibility of Results
Taste
coffee
flavor wheel
sensory attributes
sorting
statistics
Chemical Engineering
Nutrition and Dietetics
Food Science
Food sciences
Nutrition and dietetics
Language
Abstract
The original Coffee Taster's Flavor Wheel was developed by the Specialty Coffee Assn. of America over 20 y ago, and needed an innovative revision. This study used a novel application of traditional sensory and statistical methods in order to reorganize the new coffee Sensory Lexicon developed by World Coffee Research and Kansas State Univ. into scientifically valid clusters and levels to prepare a new, updated flavor wheel. Seventy-two experts participated in a modified online rapid free sorting activity (no tasting) to sort flavor attributes of the lexicon. The data from all participants were compiled and agglomeration hierarchical clustering was used to determine the clusters and levels of the flavor attributes, while multidimensional scaling was used to determine the positioning of the clusters around the Coffee Taster's Flavor Wheel. This resulted in a new flavor wheel for the coffee industry.