scholarly journals Nutrients, phytochemicals and botanical origin of commercial bee pollen from different geographical areas

2018 ◽  
Vol 73 ◽  
pp. 29-38 ◽  
Author(s):  
Claudio Gardana ◽  
Cristian Del Bo’ ◽  
Marta C. Quicazán ◽  
Ana Ruby Corrrea ◽  
Paolo Simonetti
Keyword(s):  
Botanical Origin ◽  
Bee Pollen

scholarly journals Organic Bee Pollen: Botanical Origin, Nutritional Value, Bioactive Compounds, Antioxidant Activity and Microbiological Quality

Molecules ◽  
2012 ◽  
Vol 17 (7) ◽  
pp. 8359-8377 ◽  
Author(s):  
Xesús Feás ◽  
M. Pilar Vázquez-Tato ◽  
Leticia Estevinho ◽  
Julio A. Seijas ◽  
Antonio Iglesias
Keyword(s):  
Antioxidant Activity ◽  
Bioactive Compounds ◽  
Nutritional Value ◽  
Microbiological Quality ◽  
Botanical Origin ◽  
Bee Pollen

scholarly journals Botanical profile of bee pollen from the southern coastal region of Bahia, Brazil

2010 ◽  
Vol 24 (3) ◽  
pp. 862-867 ◽  
Author(s):  
Marcos da Costa Dórea ◽  
Jaílson Santos de Novais ◽  
Francisco de Assis Ribeiro dos Santos
Keyword(s):  
Apis Mellifera ◽  
Plant Species ◽  
Coastal Region ◽  
Botanical Origin ◽  
Mimosa Pudica ◽  
Bee Pollen ◽  
Pollen Loads ◽  
Pollen Types ◽  
Pollen Sources ◽  
Forest Biome

This paper aims to identify the botanical origin of pollen loads collected by Apis mellifera L. in Canavieiras municipality, Bahia state. It provides a list of polliniferous plant species from the Atlantic Forest biome that are important for the development of regional apiculture. Using the acetolysis method, 35 bee-pollen samples were analyzed qualitatively and quantitatively. Results showed that pollen types Elaeis (23.99%), Mimosa pudica (22.78%) and Cecropia (13.68%) were the most abundant among the samples. These also showed the highest relative frequencies of the material studied and were important pollen sources for bees in the study area.

scholarly journals Computational intelligence applied to discriminate bee pollen quality and botanical origin

2018 ◽  
Vol 267 ◽  
pp. 36-42 ◽  
Author(s):  
Paulo J.S. Gonçalves ◽  
Letícia M. Estevinho ◽  
Ana Paula Pereira ◽  
João M.C. Sousa ◽  
Ofélia Anjos
Keyword(s):  
Computational Intelligence ◽  
Botanical Origin ◽  
Pollen Quality ◽  
Bee Pollen

scholarly journals Morphological, Physicochemical and FTIR Spectroscopic Properties of Bee Pollen Loads from Different Botanical Origin

Molecules ◽  
2019 ◽  
Vol 24 (21) ◽  
pp. 3974 ◽  
Author(s):  
Sara Castiglioni ◽  
Paola Astolfi ◽  
Carla Conti ◽  
Elga Monaci ◽  
Mariassunta Stefano ◽  
...  
Keyword(s):  
Spectroscopic Properties ◽  
Botanical Origin ◽  
Spectra Analysis ◽  
Bee Pollen ◽  
Pollen Loads ◽  
Visual Identification ◽  
Pollen Content ◽  
Bee Foraging ◽  
Typical Composition

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.

Water activity of fresh bee pollen and mixtures of bee pollen-honey of different botanical origin

LWT ◽  
2017 ◽  
Vol 84 ◽  
pp. 595-600 ◽  
Author(s):  
Simona Sagona ◽  
Rachele Bozzicolonna ◽  
Roberta Nuvoloni ◽  
Giovanni Cilia ◽  
Beatrice Torracca ◽  
...  
Keyword(s):  
Water Activity ◽  
Botanical Origin ◽  
Bee Pollen

Botanical origin and geographic differentiation of bee-pollen produced in high mountains from the Colombian eastern Andes

Grana ◽  
2017 ◽  
Vol 56 (5) ◽  
pp. 386-397 ◽  
Author(s):  
Fermín J. Chamorro ◽  
Daniela León ◽  
Paula M. Montoya-Pfeiffer ◽  
Víctor M. Solarte ◽  
Guiomar Nates-Parra
Keyword(s):  
Geographic Differentiation ◽  
Botanical Origin ◽  
High Mountains ◽  
Bee Pollen

scholarly journals Phytochemical analysis and botanical origin of Apis mellifera bee pollen from the municipality of Canavieiras, Bahia State, Brazil

2018 ◽  
Vol 21 (0) ◽  
Author(s):  
Giuseppina Negri ◽  
Lidia Maria Ruv Carelli Barreto ◽  
Fábia Lugli Sper ◽  
Claudemir de Carvalho ◽  
Maria das Graças Ribeiro Campos
Keyword(s):  
Fatty Acids ◽  
Apis Mellifera ◽  
Acid Amide ◽  
Hydroxycinnamic Acid ◽  
Flavonoid Glycosides ◽  
Phytochemical Analysis ◽  
Botanical Origin ◽  
Bee Pollen ◽  
Amide Derivatives ◽  
Pollen Sample

Abstract An Apis mellifera bee pollen sample from Bahia state in Brazil was studied to evaluate its botanical origin and phytochemical composition. The bee pollen sample was collected in the municipality of Canavieiras, in an area with a very high predominance of Cocos nucifera L (Aracaceae), which was identified as the major taxon (99%), thus being the possible botanical origin of this pollen. The main constituents found in the non-polar extract analysed by GC-EI-MS were saturated fatty acids and long chain esters, together with phytosterols such as ergosta-5,24(28)-dien-3-ol, campesterol and sitosterol, detected in smaller quantities. Flavonoid glycosides, as well as hydroxycinnamic acid amide derivatives were detected in the polar extract analysed by HPLC-ESI-MS/MS. The presence of flavonoid glycosides, hydroxycinnamic acid amide derivatives, fatty acids and phytosterols have been reported in many bee pollen taxa. To the best of the authors’ knowledge, this is the first study of the chemical composition of bee pollen from C. nucifera , which is cultivated for its coconut fruit.

scholarly journals Classification of Bee Pollen and Prediction of Sensory and Colorimetric Attributes—A Sensometric Fusion Approach by e-Nose, e-Tongue and NIR

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6768
Author(s):  
László Sipos ◽  
Rita Végh ◽  
Zsanett Bodor ◽  
John-Lewis Zinia Zaukuu ◽  
Géza Hitka ◽  
...  
Keyword(s):  
Classification Accuracy ◽  
Microscopic Analysis ◽  
Nir Spectroscopy ◽  
Red Clover ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Botanical Origin ◽  
Bee Pollen

The chemical composition of bee pollens differs greatly and depends primarily on the botanical origin of the product. Therefore, it is a crucially important task to discriminate pollens of different plant species. In our work, we aim to determine the applicability of microscopic pollen analysis, spectral colour measurement, sensory, NIR spectroscopy, e-nose and e-tongue methods for the classification of bee pollen of five different botanical origins. Chemometric methods (PCA, LDA) were used to classify bee pollen loads by analysing the statistical pattern of the samples and to determine the independent and combined effects of the above-mentioned methods. The results of the microscopic analysis identified 100% of sunflower, red clover, rapeseed and two polyfloral pollens mainly containing lakeshore bulrush and spiny plumeless thistle. The colour profiles of the samples were different for the five different samples. E-nose and NIR provided 100% classification accuracy, while e-tongue > 94% classification accuracy for the botanical origin identification using LDA. Partial least square regression (PLS) results built to regress on the sensory and spectral colour attributes using the fused data of NIR spectroscopy, e-nose and e-tongue showed higher than 0.8 R2 during the validation except for one attribute, which was much higher compared to the independent models built for instruments.

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