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The 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.The 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.The floral origin of honey could be successfully evaluated by its amino acids profile coupled with chemometric analysis.

作者:Jelena, Ke?ke?;Jelena, Trifkovi?;Filip, Andri?;Milica, Joveti?;Zivoslav, Te?i?;Du?anka, Milojkovi?-Opsenica

来源:Journal of the science of food and agriculture 2013 年 93卷 13期

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作者:
Jelena, Ke?ke?;Jelena, Trifkovi?;Filip, Andri?;Milica, Joveti?;Zivoslav, Te?i?;Du?anka, Milojkovi?-Opsenica
来源:
Journal of the science of food and agriculture 2013 年 93卷 13期
标签:
amino acids profile botanical origin high-performance liquid chromatography pattern recognition methods unifloral honeys
The 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.The 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.The floral origin of honey could be successfully evaluated by its amino acids profile coupled with chemometric analysis.