3. Results & discussion
3.1. Monadic profiling
ANOVAs show that in-mouth perception of samples was
different on three flavour attributes: cocoa, caramel and aftertaste
and on four texture attributes: deformation, melting, smooth and
powdery (Table 3).
Some attributes were strongly correlated: deformation and
perceived melting (r ¼ 0.96); smooth and powdery (r ¼ 0.92).
Indeed, the faster a shape melts, the more subjected to deformation
it is. Likewise, a sample, which was not perceived smooth, was
perceived powdery.
Unexpected results were also obtained. Firstly, cocoa and
aftertaste were not correlated meaning that a stronger cocoa
flavour perceived during the chocolate melting did not necessarily
contribute to a strong aftertaste. Secondly, cocoa intensity and
perceived melting were negatively correlated.
The first PCA biplot (Fig. 3) accounts for 75% of the variance. The
first principal component explains differences in perceived deformation
and melting. The second component mainly discriminates
samples according to their caramel intensity. The differences in
cocoa flavour are better illustrated on the biplot representing
components 1 and 3 (Fig. 4). Indeed the cocoa attribute is highly
correlated with the third component.
3. Results & discussion3.1. Monadic profilingANOVAs show that in-mouth perception of samples wasdifferent on three flavour attributes: cocoa, caramel and aftertasteand on four texture attributes: deformation, melting, smooth andpowdery (Table 3).Some attributes were strongly correlated: deformation andperceived melting (r ¼ 0.96); smooth and powdery (r ¼ 0.92).Indeed, the faster a shape melts, the more subjected to deformationit is. Likewise, a sample, which was not perceived smooth, wasperceived powdery.Unexpected results were also obtained. Firstly, cocoa andaftertaste were not correlated meaning that a stronger cocoaflavour perceived during the chocolate melting did not necessarilycontribute to a strong aftertaste. Secondly, cocoa intensity andperceived melting were negatively correlated.The first PCA biplot (Fig. 3) accounts for 75% of the variance. Thefirst principal component explains differences in perceived deformationand melting. The second component mainly discriminatessamples according to their caramel intensity. The differences incocoa flavour are better illustrated on the biplot representingcomponents 1 and 3 (Fig. 4). Indeed the cocoa attribute is highlycorrelated with the third component.
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