Relationship between interannual variation of amino acid profile and pollen content in honey from a small Argentinian region.

With the objective of evaluating the utility of the amino acid profile in the characterization of honey samples, 39 honey samples of two different harvests from a particular production zone in Córdoba, Argentina, were analyzed. Multivariate statistical techniques, such as principal component analysis (PCA), cluster analysis (CA), and multiple correspondence analysis (MCA), were applied to verify the correlation among the amino acid profiles, pollen percentages, and different harvests. PCA, CA, and MCA demonstrate the presence of differences of amino acid profiles between samples of the two harvests, such differences being mainly due to differences in pollen availability. Variation of the flora surrounding the apiary due to agricultural practices makes the analysis of amino acid profile typical for those cases with stabilized flora.

Comparison of free amino acids profile in honey from three Argentinian regions.

The physical chemistry characteristics of honey are directly related to floral origin and, as a result, to the production region. There are some available methods that can determine the botanical or geographical origin of honey such as the free amino acids profile analysis. This paper reports data on the free amino acid composition, determined by reversed-phase high-performance liquid chromatography UV detection on 56 honey samples from three different Argentine regions, with characteristic apiarian flora. To evaluate if the quantified amino acid could be used to verify the geographical or botanical origin of honey, statistical analyses were performed. The cluster analysis showed that samples were grouped in clusters related to sampling regions and more strictly to apiarian flora around apiaries. Each cluster appears associated, in accordance with the principal component analysis, to high or low concentrations of different amino acids.