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Spectroscopic Discrimination of Bee Pollen by Composition, Color, and Botanical Origin

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...

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Autores principales: Bleha, Roman, Shevtsova, Tetiana V., Živčáková, Martina, Korbářová, Anna, Ježková, Martina, Saloň, Ivan, Brindza, Ján, Synytsya, Andriy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394765/
https://www.ncbi.nlm.nih.gov/pubmed/34441459
http://dx.doi.org/10.3390/foods10081682
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author Bleha, Roman
Shevtsova, Tetiana V.
Živčáková, Martina
Korbářová, Anna
Ježková, Martina
Saloň, Ivan
Brindza, Ján
Synytsya, Andriy
author_facet Bleha, Roman
Shevtsova, Tetiana V.
Živčáková, Martina
Korbářová, Anna
Ježková, Martina
Saloň, Ivan
Brindza, Ján
Synytsya, Andriy
author_sort Bleha, Roman
collection PubMed
description 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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spelling pubmed-83947652021-08-28 Spectroscopic Discrimination of Bee Pollen by Composition, Color, and Botanical Origin Bleha, Roman Shevtsova, Tetiana V. Živčáková, Martina Korbářová, Anna Ježková, Martina Saloň, Ivan Brindza, Ján Synytsya, Andriy Foods Communication 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. MDPI 2021-07-21 /pmc/articles/PMC8394765/ /pubmed/34441459 http://dx.doi.org/10.3390/foods10081682 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Bleha, Roman
Shevtsova, Tetiana V.
Živčáková, Martina
Korbářová, Anna
Ježková, Martina
Saloň, Ivan
Brindza, Ján
Synytsya, Andriy
Spectroscopic Discrimination of Bee Pollen by Composition, Color, and Botanical Origin
title Spectroscopic Discrimination of Bee Pollen by Composition, Color, and Botanical Origin
title_full Spectroscopic Discrimination of Bee Pollen by Composition, Color, and Botanical Origin
title_fullStr Spectroscopic Discrimination of Bee Pollen by Composition, Color, and Botanical Origin
title_full_unstemmed Spectroscopic Discrimination of Bee Pollen by Composition, Color, and Botanical Origin
title_short Spectroscopic Discrimination of Bee Pollen by Composition, Color, and Botanical Origin
title_sort spectroscopic discrimination of bee pollen by composition, color, and botanical origin
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394765/
https://www.ncbi.nlm.nih.gov/pubmed/34441459
http://dx.doi.org/10.3390/foods10081682
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