Title Comparison of physicochemical properties of bee pollen with other bee products /
Authors Adaškevičiūtė, Vaida ; Kaškonienė, Vilma ; Kaškonas, Paulius ; Barčauskaitė, Karolina ; Maruška, Audrius Sigitas
DOI 10.3390/biom9120819
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Is Part of Biomolecules.. Basel : MDPI. 2019, vol. 9, iss. 12, art. no. 819, p. 1-22.. ISSN 2218-273X
Keywords [eng] bee products ; minerals ; oxidation-reduction potential ; conductivity ; hierarchical cluster analysis ; antioxidant activity
Abstract [eng] The aim of this study was to compare the physichochemical composition of various bee products, namely, bee pollen, beebread, propolis, honey, and royal jelly. The samples (37 out of 53) were collected in Lithuania, several samples from other Europe countries (Italy, Denmark, Sweden, Slovakia, Poland, Spain, Republic of Malta, The Netherlands, Latvia, Ukraine) were used for comparison. Various quantities, such as pH, electrical conductivity, oxidation-reduction potential, NaCl content, refraction index, Brix value, total phenolic compound content, total flavonoid content and antiradical activity were measured. Together with the mentioned, the content of micro- and macroelements (As, Ba, Ca, Cd, Co, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, P, Pb, Se, Sr, V and Zn), ultraviolet-visible spectroscopy absorption spectra were analysed. To our knowledge, the literature data about comprehensive comparison of various characteristics of bee products are scarce. Also, to the best of our knowledge, this is the first study revealing mineral content in Lithuanian bee pollen, beebread and royal jelly. The study exposed that bee pollen not only showed the highest values of pH, electrical conductivity and content of soluble solids, but also distinguished from the other samples by the highest flavonoid content (up to 48.3 mg/10 g), the absence of Cr, the presence of Co (0.011–0.100 mg/kg) and Sr (0.73–5.37 mg/kg) and the highest content of Ca (997–2455 mg/kg) and Mg (644–1004 mg/kg). Hierarchical clustering analysis was applied to group the tested samples according to the physicochemical analysis results and mineral content. The clustering analysis revealed that bee pollen formed separate group with the highest distance from the other samples in both cases.
Published Basel : MDPI
Type Journal article
Language English
Publication date 2019
CC license CC license description