Characterization of Turkish Extra Virgin Olive Oils and Classification Based on Their Growth Regions Coupled with Multivariate Analysis

Sibel Uluata*, Umit Altuntaş, Beraat Özçelik

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

The aim of this study was to investigate the biochemical composition and antioxidant activity of extra virgin olive oils (EVOOs) produced from different olive cultivars in the two coastal areas of Turkey; Aegean and Mediterranean regions. Samples were divided into two groups according to the olive-growing region and were classified by soft independent modeling of class analogy (SIMCA) algorithm based on chemical composition of EVOOs. Oleic acid was determined as the major fatty acid in both regions and varied from 46.7 to 71.6%. β-Sitosterol was the main sterol compound, and trioleoylglycerol (OOO) was determined as the main triacylglycerol (TAG) in all samples with >32% ratio. Memecik cultivar (263.4 mg/kg oil) and Gemlik cultivar (279.5 mg/kg oil) had the highest α-tocopherol content in Aegean and Mediterranean regions, respectively. Olive oil produced from Gemlik cultivar had the highest total phenolic content and antioxidant capacity in all samples.

Original languageEnglish
Pages (from-to)1682-1694
Number of pages13
JournalFood Analytical Methods
Volume14
Issue number8
DOIs
Publication statusPublished - Aug 2021

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Funding

The authors thank Zeytindostu Agency for supplying extra virgin olive oils.

Keywords

  • Antioxidant activity
  • Extra virgin olive oil
  • Fatty acid composition
  • SIMCA
  • Tocopherol

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