Postharvest biology and technology vol:38 issue:2 pages:115-127
This paper focuses on relating consumer preference data of tomato cultivars to novel aroma profiling methods as a basis for fast screening of new cultivars with specific aroma characteristics. Cluster analysis was carried out to segment the 54 Flemish consumers into homogeneous groups. The analysis identified four consumer segments with different preference patterns. Internal preference mapping was then used to derive a preference space of tomatoes cultivars based on the overall liking by the consumer segments.