Perception of fat in a milk model system using multidimensional scaling

Research output: Contribution to journalArticlepeer-review

39 Scopus citations


This study examined the contributions of stimulus fat content and flavor volatiles to the perception of fat in a milk model system. The model system was formulated by adding bland vegetable oil (0%, 5%, or 10% w/v) and natural cream flavor (0%, 0.5% or 1% w/v) to a skim milk base. Panelists judged pairs of samples for similarity on the basis of three attributes (fat content, mouthcoating and thickness) and the results were analyzed using a multidimensional scaling procedure. Two-dimensional solutions best represented the data. The stimulus spaces for fat content and mouthcoating were visually similar to each other and provided reasonable separation of the samples. Instrumental measures helped to define the underlying dimensions of the stimulus space for fat content. Dimension I related to texture and included the contributions of viscosity, and fat particle size and number distribution; dimension 2 related to flavor perception. The sample with a moderate fat content (5%) and the highest concentration of added cream flavor (1%) was perceived to be similar to the 10% fat samples with added flavor. Thus, the added flavor provided the sensation of higher fat content. These data suggest that flavor plays an important role in the preception of fat in dairy foods. A psychophysical model of fat perception in dairy foods is proposed which includes the contribution of viscosity, fat particle size and number distribution, and volatile flavor perceptions.

Original languageEnglish (US)
Pages (from-to)175-190
Number of pages16
JournalJournal of Sensory Studies
Issue number3
StatePublished - Oct 1996

ASJC Scopus subject areas

  • Food Science
  • Sensory Systems


Dive into the research topics of 'Perception of fat in a milk model system using multidimensional scaling'. Together they form a unique fingerprint.

Cite this