摘要：The aim of present investigation is to discriminate two important Turkish olive cultivars (Ayvalık and Memecik) by studying their triacylglycerol (TAG) compositions during storage (15 months) taken from different orchard in Ayvalık and Aydın region which have a significant potential for olive oil production in Turkey, during 2009 and 2010 harvest years. Olives were harvested by hand at 2 different maturation indices and processed by an Abencor system. The olive oil samples were stored at room temperature and they were divided into two groups including exposed to diffused daylight and dark for a period of 15 months. Multivariate classification and clustering were done by the application of unsupervised chemometrics methods such as principal component analysis (PCA) and hierarchical cluster analysis (HCA) based on the TAG profiles of the olive oil samples. PCA and HCA analysis of olive oils showed significant differences according to harvest years and cultivars. PCA scores plot showed that the samples were classified into two main groups with respect to harvest years based on the first principal component (PC1). In terms of storage effect, there was no significant change in TAG compositions among the samples from beginning of storage to 15 months of storage regardless of storage conditions (either in dark or in daylight). In addition, PCA scores plot indicated that the samples were also successfully clustered into two sub-groups according to cultivars in both years based on the second principal component (PC2).
其他摘要：Bu çalışmada, Türkiye'de zeytinyağı üretimi için önemli bir potansiyele sahip olan zeytin çeşitleri (Ayvalık ve Memecik) Ayvalık ve Aydın Bölgesindeki farklı zeytin bahçelerinden 2009 ve 2010 hasat yıllarında hasat edilerek edilen yağların depolama boyunc
关键词：Ayvalık and Memecik;Triacylglycerol;OOO;HCA;PCA;Olive oil
其他关键词：Ayvalık ve Memecik;Triaçilgliserol;OOO;HCA;PCA;Zeytinyağı
