Floral authentication of some monofloral honeys based on volatile composition and physicochemical parameters

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Yıldız O., Gürkan H., Şahingil D., Değirmenci A., Kemal M., Kolaylı S., ...Daha Fazla

EUROPEAN FOOD RESEARCH AND TECHNOLOGY, cilt.248, sa.8, ss.2145-2155, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 248 Sayı: 8
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1007/s00217-022-04037-4
  • Dergi Adı: EUROPEAN FOOD RESEARCH AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, ABI/INFORM, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Chemical Abstracts Core, Compendex, Food Science & Technology Abstracts, Hospitality & Tourism Complete, Hospitality & Tourism Index, Veterinary Science Database
  • Sayfa Sayıları: ss.2145-2155
  • Anahtar Kelimeler: Monofloral, Honey, Marker, Authentication, Aroma, Volatiles, IDENTIFICATION, EUCALYPTUS, LAVENDER, SAMPLES, CITRUS, THYME, ACIDS, GREEK, L.
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

Twenty four honey samples of eight distinct botanical origins obtained from different regions of Turkey were analyzed in this study. Various physicochemical (glucose and fructose content, color, diastase activity, electrical conductivity, optical rotation, moisture and proline content), biochemical (total phenolic content, total flavonoid content, FRAP antioxidant capacity and DPPH radical scavenging activity) and volatile analytical methods were used for floral authentication of the honeys. Identification of 103 volatile compounds from different chemical classes was carried out using SPME/GC/MS. The availability of physicochemical and volatile identification methods, instead of melissopalynology which is dependent on the researcher's ability and judgment regarding honey classification, was investigated. The results were statistically processed, and principal component analysis (PCA) was applied. The first two principal components explained 98.10% of the total variance, and the PCA produced eight different groups rhododendron, chestnut, lavandula, astragalus, chaste tree, polyfloral, oak, and pine honeys, each corresponding to a distinct botanical origin. Polyfloral honeys formed a cluster, although those samples were rather widespread. The studied honeys exhibited specific volatile compounds and biochemical properties which may be capable of use as floral markers.