Comparison of Preference Mapping Methods on Commodity Foods with Challenging Groups of Low-Variance Attributes: Sliced Whole Wheat Sandwich Bread Example
Autor: | T. Worch, A. Hasted, MaryAnne Drake, S.M. Jervis, G. Guo, Brian D. Guthrie |
---|---|
Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
030109 nutrition & dietetics Descriptive statistics Preference mapping 04 agricultural and veterinary sciences Whole wheat 040401 food science Sensory Systems External preference mapping 03 medical and health sciences 0404 agricultural biotechnology Statistics Path analysis (statistics) Social psychology Food Science Mathematics |
Zdroj: | Journal of Sensory Studies. 31:34-49 |
ISSN: | 0887-8250 |
Popis: | Traditional preference mapping methods can suffer where groups of attributes with larger variances dominate the analysis, thus, detracting attention from attributes of potential importance as drivers of liking. This study compared traditional external preference mapping methods (PLS and PREFMAP) with a new method called PrefHMFA which is designed to control dominance of groups of high variance attributes. Twenty-five sliced whole wheat breads were profiled by descriptive analysis (DA) for flavor, appearance (crust and crumb groups) and texture (oral, hand) attributes. Breads were subsequently presented to adult bread consumers (n = 360). Data were also subjected to path analysis (PATH-PLS) and three different preference mapping analyses (PLS and PREFMAP and PrefHMFA). Traditional methods (PLS/PREFMAP) showed broad ideal points. PrefHMFA partial axes showed that the main hedonic dimensions were aligned with higher sensory dimensions. PrefHMFA revealed the greater importance of appearance and hand-perceived texture attributes for liking. Path-PLS confirmed the importance of sensory liking and family drivers of purchase intent for sliced sandwich bread. Practical Applications External preference mapping is used to relate analytical sensory data to consumer acceptance. Traditional techniques have been criticized since groups of attributes with large variances can dominate the traditional PCA or PLS-based methods. New preference mapping techniques of PrefMFA and PrefHMFA have been suggested to account for attribute dominance. These techniques will aid in determining drivers of liking for commodity-type foods and other product or situations where attribute dominance poses a problem with traditional methods. |
Databáze: | OpenAIRE |
Externí odkaz: | |
Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |