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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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