Descriptive analysis with a trained sensory panel has thus far been the most well defined methodology to characterize various products. However, in practical terms, intensive training in descriptive analysis has been recognized as a serious defect. To overcome this limitation, various novel rapid sensory profiling methodologies have been suggested in the literature. Among these, attribute-based methodologies such as check-all-that-apply (CATA) questions showed results comparable to those of conventional sensory descriptive analysis. Kim, Hopkinson, van Hout, and Lee (2017a, 2017b) have proposed a novel attribute-based methodology termed the two-step rating-based ‘double-faced applicability’ test with a novel output measure of applicability magnitude (d'A) for measuring consumers' product usage experience throughout various product usage stages. In this paper, the potential of the two-step rating-based ‘double-faced applicability’ test with d'A was investigated as an alternative to conventional sensory descriptive analysis in terms of sensory characterization and product discrimination. Twelve commercial spread products were evaluated using both conventional sensory descriptive analysis with a trained sensory panel and two-step rating-based ‘double-faced applicability’ test with an untrained sensory panel. The results demonstrated that the ‘double-faced applicability’ test can be used to provide a direct measure of the applicability magnitude of sensory attributes of the samples tested in terms of d'A for sensory characterization of individual samples and multiple sample comparisons. This suggests that when the appropriate list of attributes to be used in the questionnaire is already available, the two-step rating-based ‘double-faced applicability’ test with d'A can be used as a more efficient alternative to conventional descriptive analysis, without requiring any intensive training process.
Bibliographical noteFunding Information:
This research was supported by Unilever R&D and the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (No. 2015R1A1A1A05001170 ). The authors thank Danielle van Hout and Chantalle Groeneschild at Unilever R&D Vlaardingen for their input on planning and conducting the experiments. The authors also thank Yeonjoo Lee and Ji-Seon Jang at Ewha Womans University for their assistance in data analysis and Gastón Ares at Universidad de la República for his help to improve the clarity of the manuscript.
© 2017 Elsevier Ltd
- Applicability magnitude
- Attribute-based sensory methodology
- Descriptive analysis
- Product discrimination
- Rapid sensory profiling
- Sensory characterization