Comparison of Rate-All-That-Apply (RATA) and Descriptive sensory Analysis (DA) of model double emulsions with subtle perceptual differences

A.K.L. Oppermann, C. de Graaf, E. Scholten, M.A. Stieger, Betina Piqueras Fiszman, Phd*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

28 Citations (Scopus)

Abstract

The Rate-All-That-Apply (RATA) method, an intensity-based Check-All-That-Apply (CATA) variant, has recently been developed for sensory characterization involving untrained panellists. The aim of this study was to investigate the sensory profiles of ten model (double) emulsions with subtle perceptual differences obtained from the Rate-All-That-Apply (RATA) method with untrained panellists (n = 80). For this purpose two different analysis approaches were followed (treating the data as frequencies and as intensities) and then compared to results obtained from Descriptive Analysis (DA) with trained panellists (n = 11). The RATA method was adapted by including a short familiarization session to acquaint participants with the RATA methodology, the use of the scale, the sensory terms, and product differences. The comparison involved discriminative ability and configuration similarity by means of Multiple Factor Analysis (MFA) and RV coefficients.
The results in our study show that the RATA intensity approach resulted in higher discriminative ability compared to the RATA frequency approach. Both RATA frequency and RATA intensity resulted in similar overall configurations compared to DA. However, important differences between the use of RATA and DA scales suggest that these overall similarities should be interpreted with caution and warrant a deeper investigation on how RATA scales are understood and used by consumers
Original languageEnglish
Pages (from-to)55-68
JournalFood Quality and Preference
Volume56
DOIs
Publication statusPublished - 2017

Keywords

  • Research methodology
  • sensory characterization
  • RATA
  • CATA
  • Descriptive sensory profiling

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