Institute of Veterinary Medicine of Serbia, Autoput 3, 11070, Belgrade, Serbia.
J Sci Food Agric. 2013 Oct;93(13):3368-76. doi: 10.1002/jsfa.6187. Epub 2013 Jun 5.
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.
为了通过植物来源区分蜂蜜,分析了来自塞尔维亚六个不同地区的七种不同花型(洋槐、椴树、向日葵、油菜、罗勒、一枝黄花和荞麦)的 192 个样本的游离氨基酸谱。
最丰富的氨基酸是脯氨酸、丙氨酸、苯丙氨酸、苏氨酸和精氨酸。基于建立的氨基酸谱,根据基本描述性统计数据,以及多元化学计量学方法的验证,在研究的蜂蜜样本之间发现了一些重要差异。主成分分析表明,罗勒蜂蜜样本形成了一个明确的聚类,其特征是苯丙氨酸含量。线性判别分析得到的模型可用于区分罗勒蜂蜜与其他样本,对区分真正的洋槐、椴树、向日葵和油菜蜂蜜具有中等的预测能力。本文还提供了一枝黄花和荞麦蜂蜜样本的氨基酸谱的新数据。
通过氨基酸谱结合化学计量分析可以成功评估蜂蜜的花卉来源。