Application of the Rate-All-That-Apply (RATA) method to differentiate the visual appearance of milk powders using trained sensory panels. (October 2019)

• Record Type: Journal Article
• Authors: Traill, Rachel M.; Luckman, Maree S.; Fisk, Nicolene A.; Peng, M.
• Is Part Of: International dairy journal. Volume 97(2019)
• Page Start: 230
• Page End: 237
• Publication Date: 2019-10
• Subjects: Dairying -- Periodicals; Industrie laitière -- Périodiques; Electronic journals; 338.1762142
• DOI: 10.1016/j.idairyj.2019.05.013
• Languages: English
• ISSNs: 0958-6946

Abstract

Abstract: The appearance of food products has a critical impact on consumer perception and acceptability; however, there is little information available that robustly measures the appearance of food from a human perspective with the potential to quantitatively inform product developers on how their products are visually perceived and directions for modification. This study demonstrates a successful case of trained sensory panels differentiating the visual appearance presented in 145 non-reconstituted milk powder samples, representing 11 different types of milk powders, using the Rate-All-That-Apply (RATA) sensory method. The results obtained from nonparametric statistical analyses implied significant differences in certain attributes, yielding a clear discrimination between the different milk powders. Furthermore, an additional study, consisting of four repeated assessments of 10 selected samples, suggested high test-retest reliability within and between the testing days. Overall, results from this study indicate the potential of RATA for characterisation of visual appearance of food products using trained panellists.