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2012
DOI: 10.1016/j.foodqual.2011.08.010
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Optimization of blended wine quality through maximization of consumer liking

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Cited by 27 publications
(31 citation statements)
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“…The differences (Figure 1) were produced in the presence of attributes which were of greater complexity: such as the olfactory, gustatory and persistence qualities. Dooley et al (2012) conducted an analysis on white wines (Cabernet Sauvignon) with trained sensory panelists and achieved lower scores than those found in this study, with a persistence of 5.7, taste quality 5.94, 6.64 and olfactory quality.…”
Section: Sensory Profile -Trained Tastersmentioning
confidence: 56%
See 2 more Smart Citations
“…The differences (Figure 1) were produced in the presence of attributes which were of greater complexity: such as the olfactory, gustatory and persistence qualities. Dooley et al (2012) conducted an analysis on white wines (Cabernet Sauvignon) with trained sensory panelists and achieved lower scores than those found in this study, with a persistence of 5.7, taste quality 5.94, 6.64 and olfactory quality.…”
Section: Sensory Profile -Trained Tastersmentioning
confidence: 56%
“…Moreover, there is no sensory profile of consumers. This is because there is a big difference between the "experts" in sensory analysis and consumers who both frequently and infrequently ingest fermented products (Rapp, 1998;Recamales et al, 2011;Dooley et al, 2012).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The interrelations and interactions were identified using contour maps for the effects of independent variables on biomass yield and total selenium yield. Dooley, Threlfall, and Meullenet [33] analyzed samples with JMP for ANOVA, with the treatment and the panelist or consumer as the main effects, using the mean separation from Fisher's least significant difference test. The advantage of using this software was that the ternary plots enabled three mixture factors to be viewed simultaneously; for more than three factors, the software allowed the user to choose which factors to plot.…”
Section: Optimization and Softwarementioning
confidence: 99%
“…Appearance, aroma, flavor, body and aftertaste contribute to the overall quality and acceptance of a wine (DOOLEY et al, 2012). Evaluation of wine quality is usually committed to wine experts, however, there are no evidences that these experts can predict consumer preferences, because segmentation on consumer preferences exists and leads to different approaches in wine assessment studies (KING et al, 2010;KING et al, 2011).…”
Section: Introductionmentioning
confidence: 99%