Ananias Pascoal would like to thank Foundation for Science and Technology (FCT, Portugal), Programa Operacional Potencial Humano (POPH), and European Union (EU) for his Postdoctoral grant SFRH/BPD/91380/2012. The Research Support Foundation of the State of
Amazonas (Fundação de Amparo à Pesquisa do Estado do Amazonas - FAPEAM) for the financial support to the project coordinated by Emerson Dechechi Chambó entitled “Physicochemical, microbiological characteristics and bioactive properties of honey from meliponines from Alto Solimões, Amazonas” (Notice 004/2017 - PPP).
Bee pollen is a beehive product that has increased the attention of both researchers and
consumers. The main goal of the present study was to evaluate 69 heterofloral dried bee
pollen samples harvested in two regions of the northeast of Portugal (Mogadouro and
Vimioso). For such, the botanical origin of the samples and several physicochemical parameters
(moisture, pH, water activity, reducing sugar, proteins, lipids, ash, fibers, carbohydrates,
energy, total phenolic, and flavonoids) were evaluated and the antioxidant potential was
studied. The average percentage of pollen grains from Erica spp. and Cytisus spp. was higher
(p<0.05) in samples from Mogadouro, while Cistus spp., Castanea spp., and Echium spp.
were more abundant in Vimioso samples. The pollen harvested in Vimioso presented higher
values on proximate parameters as compared to other samples:moisture (4.61 ± 0.84%), lipids
(4.94 ± 0.94%), ash (3.28 ± 0.93%), fiber (3.55 ± 1.11%), and carbohydrates (66.60 ± 3.52%).On
the other hand, higher values were obtained on Mogadouro samples regarding water activity
(0.41 ± 0.11), protein (26.09 ± 2.86%), total phenols (26.71 ± 6.19, expressed as mg of Gallic
acid equivalents GAE/g), and antioxidant activity (assessed by b-carotene bleaching
[3.35 ± 1.17mg/mL] or the free radical scavenging assay [2.98 ± 0.63mg/mL]). All bee pollen
samples had a great botanical similarity, yet the dominant pollen types were different
between the two regions allowing the classification of the samples according to the geographical
origin.