ArticleFoods (Basel, Switzerland)2021
Spectroscopic Discrimination of Bee Pollen by Composition, Color, and Botanical Origin.
Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
9 citing papers in PubMed.
- Automated identification of honey bee pollen loads for field-applied palynological studies.The New phytologist · 2025Article
- Salty Biscuits Enriched with Fresh and Dried Bee Pollen: Chemical, Technological, and Sensory Characterization.Foods (Basel, Switzerland) · 2025Article
- Article
- Enrichment of shortcrust pastry cookies with bee products: polyphenol profile, in vitro bioactive potential, heat-induced compounds content, colour parameters and sensory changes.Scientific reports · 2024Article
- Bee pollen as a food and feed supplement and a therapeutic remedy: recent trends in nanotechnology.Frontiers in nutrition · 2024Review
- Biscuits Enriched with Monofloral Bee Pollens: Nutritional Properties, Techno-Functional Parameters, Sensory Profile, and Consumer Preference.Foods (Basel, Switzerland) · 2022Article
- Revealing the Chemical Composition of Birch Pollen Grains by Raman Spectroscopic Imaging.International journal of molecular sciences · 2022Article
- Editorial to Special Issue-Composition and Biological Properties of Bee Products.Foods (Basel, Switzerland) · 2022Article
- Determination of Floral Origin Markers of Latvian Honey by Using IRMS, UHPLC-HRMS, andFoods (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Bee pollen samples were discriminated using vibrational spectroscopic methods by connecting with botanical sources, composition, and color. SEM and light microscope images of bee pollen loads were obtained and used to assess the botanical origin. Fourier transform (FT) mid- and near-infrared (FT-MIR, FT-NIR), and FT-Raman spectra of bee pollen samples (a set of randomly chosen loads can be defined as an independent sample) were measured and processed by principal component analysis (PCA). The CIE L*a*b* color space parameters were calculated from the image analysis. FT-MIR, FT-NIR, and FT-Raman spectra showed marked sensitivity to bee pollen composition. In addition, FT-Raman spectra indicated plant pigments as chemical markers of botanical origin. Furthermore, the fractionation of bee pollen was also performed, and composition of the fractions was characterized as well. The combination of imaging, spectroscopic, and statistical methods is a potent tool for bee pollen discrimination and thus may evaluate the quality and composition of this bee-keeping product.
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Registered trials
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