Understanding consumer liking of beef using hierarchical cluster analysis and external preference mapping

J Sci Food Agric. 2020 Jan 15;100(1):245-257. doi: 10.1002/jsfa.10032. Epub 2019 Nov 4.

Abstract

Background: This study was conducted to assess whether there are differences in consumer liking of beef. Samples were collected from different groups and analyses were conducted, including quantitative descriptive analysis, consumer panels and instrumental analyses. Palatability traits, such as aroma liking, tenderness, juiciness, flavour liking and overall liking (OL), were rated by consumers.

Results: Warner-Bratzler shear force was negatively associated with tender mouthfeel and consumer tenderness score. Cluster analysis identified four groups of clusters, which were described as 'easily pleased', 'bull beef liker', 'tender beef liker' and 'fastidious' consumers. Cluster group 2 awarded a higher score for bulls and located in a separate region on the external preference map.

Conclusion: External preference mapping showed the association between consumer liking of beef and sensory attributes. © 2019 Society of Chemical Industry.

Keywords: consumer acceptability; hierarchical cluster analysis; preference mapping; preferences.

MeSH terms

  • Animals
  • Cattle
  • Cluster Analysis
  • Consumer Behavior*
  • Female
  • Flavoring Agents / analysis
  • Food Preferences
  • Humans
  • Male
  • Meat / analysis*
  • Taste

Substances

  • Flavoring Agents