Raman spectroscopy and NIR as a method of comparing monofloral and honeydew honeys
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F26%3A0201445" target="_blank" >RIV/00216305:26210/26:0201445 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43210/25:43927660 RIV/62157124:16270/25:43882478
Result on the web
<a href="https://actavet.vfu.cz/media/pdf/actavet_2025094030251.pdf" target="_blank" >https://actavet.vfu.cz/media/pdf/actavet_2025094030251.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2754/avb202594030251" target="_blank" >10.2754/avb202594030251</a>
Alternative languages
Result language
angličtina
Original language name
Raman spectroscopy and NIR as a method of comparing monofloral and honeydew honeys
Original language description
Honey is one of the most commonly adulterated foods. This study therefore focused on innovative possibilities of identifying the botanical origin of honey using Raman spectroscopy and Fourier transform near-infrared spectroscopy (FT-NIR), in order to test their potential use as an alternative to physicochemical analysis and melissopalynology methods. Both mentioned non-destructive methods were used for discrimination and characterization of the honey species. Forty-seven samples of flower and honeydew honey obtained from hobby beekeepers from different regions of the Czech Republic were analysed in the period between 2019 and 2021. Among the floral honeys, poly- as well as monofloral honeys were selected (rapeseed, clover, acacia, phacelia, fruit tree honey). The FT-NIR analysis results confirmed significant differences (P < 0.05) between the specific-species honey samples for wavenumbers of 5,624, 5,171, 4,780, 4,391 cm(-1) (P < 0.05). Raman spectroscopy confirmed significant differences between multiple wavenumbers, with classification into the most classes confirmed for wavenumbers of 308, 606, 613, 620, 999 and 1,013 cm(-1) (P < 0.05). However, neither method allowed classification for all honey species, thus FT-NIR and Raman spectra were compared by linear discriminant analysis (LDA), which confirmed a high correct classification rate (CCR) of 99.38%, and 91.30% in the case of cross-validation. In the case of rapeseed honey, the lowest CCR (96.15%) and cross-validation (76.92%) values were confirmed. It was confirmed that the FT-NIR method in combination with Raman spectroscopy can be used to identify individual honey species with a high degree of reliability.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40301 - Veterinary science
Result continuities
Project
<a href="/en/project/QK1920344" target="_blank" >QK1920344: Assessment of honey authenticity by pollen grain analysis.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta veterinaria Brno
ISSN
0001-7213
e-ISSN
1801-7576
Volume of the periodical
94
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
11
Pages from-to
251-259
UT code for WoS article
001600618100010
EID of the result in the Scopus database
2-s2.0-105020286425