Fatty acid, triacyl glycerol, phytosterol, and tocopherol variations in kernel oil of Malatya apricots from Turkey


Turan S., TOPCU A. , KARABULUT İ., VURAL H. , HAYALOĞLU A. A.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, cilt.55, ss.10787-10794, 2007 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 55 Konu: 26
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1021/jf071801p
  • Dergi Adı: JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
  • Sayfa Sayıları: ss.10787-10794

Özet

The fatty acid, sn-2 fatty acid, triacyglycerol (TAG), tocopherol, and phytosterol compositions of kernel oils obtained from nine apricot varieties grown in the Malatya region of Turkey were determined (P < 0.05). The names of the apricot varieties were Alyanak (ALY), Cataloglu (CAT), Cologlu (COL), Hacihaliloglu (HAC), Hacikiz (HKI), Hasanbey (HSB), Kabaasi (KAB), Soganci (SOG), and Tokaloglu (TOK). The total oil contents of apricot kernels ranged from 40.23 to 53.19%. Oleic acid contributed 70.83% to the total fatty acids, followed by linoleic (21.96%), palmitic (4.92%), and stearic (1.21%) acids. The sn-2 position is mainly occupied with oleic acid (63.54%), linoleic acid (35.0%), and palmitic acid (0.96%). Eight TAG species were identified: LLL, OLL, PLL, OOL + POL, OOO + POO, and SOO (where P, palmitoyl; S, stearoyl; 0, oleoyl; and L, linoleoyl), among which mainly 000 + POO contributed to 48.64% of the total, followed by OOL + POL at 32.63% and OLL at 14.33%. Four tocopherol and six phytosterol isomers were identified and quantified; among these, gamma-tocopherol (475.11 mg/kg of oil) and beta-sitosterol (273.67 mg/100 g of oil) were predominant. Principal component analysis (PCA) was applied to the data from lipid components of apricot kernel oil in order to explore the distribution of the apricot variety according to their kernel's lipid components. PCA separated some varieties including ALY, COL, KAB, CAT, SOG, and HSB in one group and varieties TOK, HAC, and HKI in another group based on their lipid components of apricot kernel oil. So, in the present study, PCA was found to be a powerful tool for classification of the samples.