Gajdoš Kljusurić, Jasenka and Antoska-Knights, Vesna and Durmishi, Berat and Rizani, Smajl and Jankuloska, Vezirka and Velkovski, Valentina and Jurinjak Tusek, Ana and Benkovic, Maja and Valinger, Davor and Jurina, Tamara (2025) Data Analyses and Chemometric Modeling for Rapid Quality Assessment of Enriched Honey. Chemosensors, 13 (7).
Full text not available from this repository.Abstract
The quality and authenticity of honey are of crucial importance for food safety and con-
sumer confidence. Given the increasing interest in enriched honey and potential fraud,
rapid and non-destructive analytical methods for quality assessment, such as Near-Infrared
Spectroscopy (NIRS), are needed. Therefore, the aim of this work was to investigate the
applicability of NIR spectroscopy coupled with chemometric methods to assess the quality
change in honey from three different countries, after addition of five different aromatic
plants (lavender, rosemary, oregano, sage, and white pine oil) in three different concen-
trations (0.5%, 0.8% and 1%). Measurements of basic physicochemical properties, color,
antioxidant activity, and NIR spectra were performed for all samples (pure honey and
honey with added aromatic plants). Chemometric models, such as Principal Component
Analysis (PCA) and Partial Least Squares (PLS) regression, were applied to analyze spectral
data, correlate spectra with physicochemical properties, color and antioxidant activity
measurements, and develop classification and prediction models. Spectral changes in
the NIR region, as expected, showed the ability to distinguish samples depending on the
type and concentration of added aromatic plants. Chemometric models enabled efficient
discrimination between pure and enriched honey samples, as well as assessment of the
influence of different additives on antioxidant activity and color. The results highlight the
potential of NIRS as a rapid, non-destructive and environmentally friendly method for
quality monitoring and detection of specific additives in honey, offering technical support
for quality control and food safety regulation.
| Item Type: | Article |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Natural sciences > Mathematics |
| Divisions: | Faculty of Technology and Technical Sciences |
| Depositing User: | Prof. d-r. Vesna Knights |
| Date Deposited: | 20 Sep 2025 05:59 |
| Last Modified: | 23 Sep 2025 07:17 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/11071 |
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