ATR-FTIR characterization and multivariate analysis classification of different commercial propolis extracts

• Commercial propolis extracts were chemically characterized without additional preparation using ATR-FTIR. • HCA of the wavenumber ranges reduced from the entire IR region through PCA resulted in effective discrimination of the commercial propolis extracts. • HCA of the most significant wavenumber range showed clustering of the commercial propolis extracts based on the geographical origin of the raw propolis used in the commercial product. • Discrimination of the commercial propolis extracts is attributed mainly to the variability in flavonoid content. The chemical matrix of various bee propolis can vary significantly due to various factors like geographical origin. These differences in chemical composition impact the biological activities of bee propolis, highlighting the importance of accurate identification to ensure proper use in commercial products. This study discriminated commercial propolis-extracts used as air spray using their infrared spectra combined with multivariate analysis. Fourier transform infrared spectrometer with attenuated total reflectance (ATR-FTIR) was utilized to chemically characterize the propolis based on the absorption of constituent functional groups in the mid-infrared region. Differentiation of the propolis samples was achieved through principal component analysis (PCA) and hierarchical cluster analysis (HCA) using OriginPro 2024 software. Distinct peaks in the IR spectra included regions such as 3350-3250 cm −1 (O-H stretching), 2980 – 2870 cm −1 (C-H stretching), 1645 – 1635 cm −1 (C=O stretching), 1140 – 1100 cm −1 (C-N stretching), and 1090 -1020 cm −1 (C-O stretching). PCA identified 1050 – 900 cm −1 as the most significant wavenumber range for discriminating propolis samples. HCA clustered the samples based on the geographical origin of the raw propolis. The study suggests that FTIR spectroscopy in combination with multivariate analysis is a powerful tool in distinguishing different types of propolis incorporated in commercial products like propolis-extracts.

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Publication Details

Journal
Measurement Food
Published
2025-05-22
DOI
https://doi.org/10.1016/j.meafoo.2025.100224
Citations
2
Primary Topic
Bee Products Chemical Analysis
Type
article
Field-Weighted Citation Impact
3.34
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article

ATR-FTIR characterization and multivariate analysis classification of different commercial propolis extracts

Jessica Higgins, Elmer‐Rico E. Mojica, Keitha V. Lucas, Rodel E. Quero
2 citations
Measurement Food
Bee Products Chemical Analysis
3.34
article

ATR-FTIR characterization and multivariate analysis classification of different commercial propolis extracts

Jessica Higgins, Elmer‐Rico E. Mojica, Keitha V. Lucas, Rodel E. Quero
article en
2 citations

Abstract

• Commercial propolis extracts were chemically characterized without additional preparation using ATR-FTIR. • HCA of the wavenumber ranges reduced from the entire IR region through PCA resulted in effective discrimination of the commercial propolis extracts. • HCA of the most significant wavenumber range showed clustering of the commercial propolis extracts based on the geographical origin of the raw propolis used in the commercial product. • Discrimination of the commercial propolis extracts is attributed mainly to the variability in flavonoid content. The chemical matrix of various bee propolis can vary significantly due to various factors like geographical origin. These differences in chemical composition impact the biological activities of bee propolis, highlighting the importance of accurate identification to ensure proper use in commercial products. This study discriminated commercial propolis-extracts used as air spray using their infrared spectra combined with multivariate analysis. Fourier transform infrared spectrometer with attenuated total reflectance (ATR-FTIR) was utilized to chemically characterize the propolis based on the absorption of constituent functional groups in the mid-infrared region. Differentiation of the propolis samples was achieved through principal component analysis (PCA) and hierarchical cluster analysis (HCA) using OriginPro 2024 software. Distinct peaks in the IR spectra included regions such as 3350-3250 cm −1 (O-H stretching), 2980 – 2870 cm −1 (C-H stretching), 1645 – 1635 cm −1 (C=O stretching), 1140 – 1100 cm −1 (C-N stretching), and 1090 -1020 cm −1 (C-O stretching). PCA identified 1050 – 900 cm −1 as the most significant wavenumber range for discriminating propolis samples. HCA clustered the samples based on the geographical origin of the raw propolis. The study suggests that FTIR spectroscopy in combination with multivariate analysis is a powerful tool in distinguishing different types of propolis incorporated in commercial products like propolis-extracts.

Measurement FoodVol. 18
University of the Philippines Los Baños (PH), Pace University (US)
Zero hunger
Openalex Percentile: Top 9%
Bee Products Chemical Analysis
3.34
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