Principal component analysis on the sensory and instrumental
data (Fig. 4) showed that the first and second principal components
explained, respectively, 48.5% and 25.9% of the observed variation
(74.4% in total). The significance level of Bartlett’s test of sphericity
was 0.000, which indicates that the correlation matrix is not an
identity matrix and that principal component analysis can be applied
to the data (Hair et al., 1998).
All sensory attributes (hardness, crispness, adhesiveness,
fracturability and chewiness) and the instrumental forces with a
guillotine and with a ‘‘V’’ shape contributed to explain the variance
of principal component 1, while compression, puncture and shear
tests explained the variance of principal component 2. These results
show that instrumental forces derived from the cut tests
present stronger correlation with sensory attributes, as seen in
Table 4.
Also notice that puncture test, as seen in Table 4, is negatively
correlated with sensory attributes, because it is positioned in the
quadrant opposite to them.
Principal component analysis on the sensory and instrumental
data (Fig. 4) showed that the first and second principal components
explained, respectively, 48.5% and 25.9% of the observed variation
(74.4% in total). The significance level of Bartlett’s test of sphericity
was 0.000, which indicates that the correlation matrix is not an
identity matrix and that principal component analysis can be applied
to the data (Hair et al., 1998).
All sensory attributes (hardness, crispness, adhesiveness,
fracturability and chewiness) and the instrumental forces with a
guillotine and with a ‘‘V’’ shape contributed to explain the variance
of principal component 1, while compression, puncture and shear
tests explained the variance of principal component 2. These results
show that instrumental forces derived from the cut tests
present stronger correlation with sensory attributes, as seen in
Table 4.
Also notice that puncture test, as seen in Table 4, is negatively
correlated with sensory attributes, because it is positioned in the
quadrant opposite to them.
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