Department of Agricultural, Food and Environmental Sciences-D3A, Università Politecnica delle Marche, Via Brecce Bianche, I-60131 Ancona, Italy.
Amap Marche Agricoltura Pesca-Agenzia per l'Innovazione nel Settore Agroalimentare e della Pesca, Centro Agrochimico Regionale, I-60035 Jesi, Italy.
Molecules. 2022 Nov 18;27(22):7996. doi: 10.3390/molecules27227996.
Attempts have often been made to isolate and characterise monofloral pollens to correlate nutritional with botanical properties. Nevertheless, pollen harvested in a particular area that can have a high biodiversity could have healthier properties. In addition, the analysis of the pollen's botanical composition can be important for characterising the typical flora of a specific geographical area. On this basis, various pollens collected in different locations of the Marche region (Italy) and in different harvesting periods were analyzed for botanical composition and antioxidant (total phenolic content, ABTS, DPPH and ORAC tests), granulometry and colour (CIE Lab*) properties to evaluate the biodiversity of pollen sources within a particular geographical area and to correlate this to the nutraceutical characteristics. Antioxidant activity results showed values generally higher than those of monofloral pollens harvested in the same areas but manually separated according to colour, shape and size. This suggests that even the floral species present in low percentages may have an influence on the nutraceutical properties of these products. The multivariate statistical elaboration of the obtained results permitted the separation of samples containing a prevalent botanical species and the grouping of all the samples into separate clusters corresponding to different areas of Marche.
人们曾多次尝试分离和鉴定单花种花粉，以将营养与植物学特性相关联。然而，在具有高生物多样性的特定地区收获的花粉可能具有更健康的特性。此外，分析花粉的植物学组成对于描述特定地理区域的典型植物群也很重要。在此基础上，对在意大利马尔凯地区不同地点和不同收获期采集的各种花粉进行了植物学组成、抗氧化（总酚含量、ABTS、DPPH 和 ORAC 试验）、粒度和颜色（CIE Lab*）特性分析，以评估特定地理区域内花粉来源的生物多样性，并将其与营养特性相关联。抗氧化活性结果表明，这些值通常高于在同一地区以颜色、形状和大小手动分离的单花种花粉的值。这表明，即使是存在比例较低的花卉物种，也可能对这些产品的营养特性产生影响。所得结果的多元统计分析允许对含有主要植物种类的样品进行分离，并将所有样品分为对应于马尔凯不同地区的单独聚类。
