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The honey type is determined by the plants from which the bees collect nectar.
It reports the number (and percentages) of samples correctly classified into each honey type (on the diagonal of the matrix) and those that were misclassified.
From the results of the Kolmogorov test, the distributions within each honey type can be considered normal (p-value < 0.05), but the Levene test of the homogeneity of variances shows that there are differences among the factor levels (honey types) for some variables.
Nevertheless, other solvents can be adopted according to the specific complexity of each honey type.
The fact that sourwood honey contains both high Na and high K makes it less dangerous for the hypertensives to consume this honey type.
Rainforest honey showed the second highest concentration (567.27 mg/kg) of Ca, followed by bitter gourd honey (358.27 mg/kg), gelam honey (275.77 mg/kg), and trigona honey type 2 (202.60 mg/kg).
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All acacia, honeydew, and multifloral honey samples were correctly classified into their a priori established honey types.
Acacia and honeydew honey samples were correctly classified in their a priori established honey types (100%), while multifloral honeys show slightly lower agreement percentages (97.7%).
Pollen found in honey is used to determine the honey types, quality control and to ascertain whether honey is adulterated or not (Villanueva 1994).
Reported data for humidity were very similar for the three honey types analyzed, showing very low SD levels (see table 1).
Multivariate statistical techniques such as principal component analysis (PCA) and linear discriminant analysis (LDA) were used to determine the variables that better discriminate between honey types.
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