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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F21%3A43923197" target="_blank" >RIV/60461373:22330/21:43923197 - isvavai.cz</a>

Alternative codes found

RIV/60461373:22340/21:43923197

Result on the web

<a href="https://doi.org/10.3390/foods10081682" target="_blank" >https://doi.org/10.3390/foods10081682</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/foods10081682" target="_blank" >10.3390/foods10081682</a>

Result language

angličtina

Original language name

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

Original language 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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20401 - Chemical engineering (plants, products)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Foods

ISSN

2304-8158

e-ISSN

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Volume of the periodical

10

Issue of the periodical within the volume

8

Country of publishing house

CH - SWITZERLAND

Number of pages

13

Pages from-to

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UT code for WoS article

000689175600001

EID of the result in the Scopus database

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