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doi: 10.1002/jsfa.6187
pmid: 23606039
AbstractBACKGROUNDThe free amino acids profile of 192 samples of seven different floral types of Serbian honey (acacia, linden, sunflower, rape, basil, giant goldenrod, and buckwheat) from six different regions was analysed in order to distinguish honeys by their botanical origin.RESULTSThe most abundant amino acids were proline, alanine, phenylalanine, threonine and arginine. Based on the established amino acids profiles, some important differences have been identified among studied honey samples relying on the basic descriptive statistics data, and confirmed by multivariate chemometric methods. Principal component analysis revealed that basil honey samples form a well‐defined cluster imposed with phenylalanine content. The model obtained by linear discriminant analysis might be used to distinguish basil honey from the rest of the samples, and has moderate predictive power to separate genuine acacia, linden, sunflower and rape honeys. New data for the amino acids profile of giant goldenrod and buckwheat honey samples are presented.CONCLUSIONSThe floral origin of honey could be successfully evaluated by its amino acids profile coupled with chemometric analysis. © 2013 Society of Chemical Industry
pattern recognition methods, botanical origin, Acacia, Flowers, Honey, Solidago, Multivariate Analysis, Linear Models, Ocimum basilicum, Helianthus, Tilia, high-performance liquid chromatography, Amino Acids, unifloral honeys, amino acids profile, Serbia, Chromatography, High Pressure Liquid, Fagopyrum
pattern recognition methods, botanical origin, Acacia, Flowers, Honey, Solidago, Multivariate Analysis, Linear Models, Ocimum basilicum, Helianthus, Tilia, high-performance liquid chromatography, Amino Acids, unifloral honeys, amino acids profile, Serbia, Chromatography, High Pressure Liquid, Fagopyrum
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