ArticleFoods (Basel, Switzerland)2025
Chemometric Differentiation of Organic Honeys from Southeastern Türkiye Based on Free Amino Acid and Phenolic Profiles.
Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Redox Imbalance, Oxidative DNA Damage, and Mitochondrial Membrane Depolarization Induced by Pervari Honey in SH-SY5Y Neuroblastoma Cells.Cell biochemistry and biophysics · 2026Article
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2 authors.
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Abstract
Verifying the geographical origin of honey is crucial for its market value and for preventing fraudulent practices. This study aimed to characterize the chemical profiles of organic honeys from three distinct regions in Southeastern Türkiye-Şırnak Faraşin, Siirt Merkez, and Siirt Pervari-to establish a robust method for geographical authentication. A total of 51 multifloral honey samples were analyzed. The concentrations of 20 free amino acids (FAAs) and 16 phenolic compounds were quantified using (UPLC-ESI-MS/MS). The resulting data were subjected to both an unsupervised (PCA, CA) and supervised (PLS-DA, RF, SVM) chemometric analysis to identify biochemical markers for each region. The results revealed a distinct chemical fingerprint for each region. Based on the FAA profiles, the PLS-DA method provided the best overall classification, achieving an excellent discrimination with a total accuracy of 94.1% in the Şırnak Faraşin honeys. For the phenolic compound profiles, the RF method achieved the highest correct classification rate for Şırnak Faraşin honeys at 88.2%. This study demonstrates that an integrated approach, combining FAA and phenolic profiles with supervised chemometric methods, provides a successful and reliable model for determining the geographical origin of these multifloral honeys.
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