Department of Agricultural, Food and Environmental Sciences - D3A, Università Politecnica delle Marche, Via Brecce Bianche, I-60131 Ancona, Italy.
Department of Materials, Environmental Sciences and Urban Planning - SIMAU, Università Politecnica delle Marche, Via Brecce Bianche, I-60131 Ancona, Italy.
Molecules. 2019 Nov 3;24(21):3974. doi: 10.3390/molecules24213974.
Bee pollen loads generally have a homogeneous and monospecific pollen content and assume a typical form and color, due to the typical bee foraging habits, thus having a typical composition related to the botanical origin. The present study aims to characterize bee pollen loads belonging to different botanical species using morphological, spectroscopic and color properties and to find relationships between these variables. IR spectra analysis allowed to have a reliable picture of the components present in the different samples; color and granulometry permits a visual identification of pollen load belonging to different species. Multivariate analysis enabled differentiation among the botanical origin of most of the bee pollen samples, grouping them according to the family and the genus and confirming the possibility to use IR and color measurements for the evaluative analysis and classification of bee pollen samples, to promote the consumption of this bee product as functional food.
蜂花粉通常具有均匀且单一种类的花粉含量，并呈现出典型的形态和颜色，这归因于蜜蜂典型的觅食习性，因此具有与植物来源相关的典型组成。本研究旨在使用形态、光谱和颜色特性来描述属于不同植物种类的蜂花粉，并找到这些变量之间的关系。IR 光谱分析允许对不同样品中存在的成分进行可靠的描述；颜色和粒度允许对属于不同物种的花粉进行视觉识别。多元分析能够区分大多数蜂花粉样品的植物来源，根据科和属对它们进行分组，并证实了使用 IR 和颜色测量值进行蜂花粉样品的评估分析和分类的可能性，以促进这种蜜蜂产品作为功能性食品的消费。
