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Multivariate Data Analysis of Fatty Acid Content in the Classification of Olive Oils Developed Through Controlled Crossbreeding

  • Original Paper
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Journal of the American Oil Chemists' Society

Abstract

The fatty acid (FA) composition of 540 Tunisian virgin olive oil hybrids (VOO) were classified by principal component analysis (PCA). Pearson correlation between FA variables revealed an inverse association between C18:1 and C18:2; C18:1 and C16:0, while C16:0 and C16:1 were positively correlated. PCA yielded five significant PCs, which together account for 79.95% of the total variance; with PC1 contributing 36.84% of the total. Eigenvalue analysis revealed that PC1 was mainly attributed to C18:1, monounsaturated fatty acids (MUFA) and the ratios oleic/linoleic (O/L) and monounsaturated fatty acids/polyunsaturated fatty acids (MUFA/PUFA); PC2, by C16:0, saturated fatty acids (SFA) and the palmitic/linoleic ratio (P/L); PC3 by C18:2 and C22:0, PC4 by C18:0 and PC5, by C17:1. Then, PCA analysis indicated that in addition to C16:0, C18:0, C18:1, C17:1, and C22:0, MUFA, SFA and the ratios O/L, P/L and MUFA/PUFA were determined to be the main factors responsible for the olive oil hybrids discrimination.

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Acknowledgments

This research was supported by a grant from the ‘Ministère de l’Enseignement Supérieur et de la Recherche Scientifique et de la Technologie UR03ES08 “Nutrition Humaine et Désordres Métaboliques” and ‘DGRST-USCR-Spectrométrie de masse. The authors are grateful to Dr A. Trigui, Mr A. Yangui, Mr H. Belguith and Mr I. Chreaif and to the staff of the experimental farms of Taous (Sfax, Tunisia) who contributed to making this research possible.

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Authors and Affiliations

  1. Laboratory of Biochemistry, UR “Human Nutrition and Metabolic Disorders” Faculty of Medicine, 5019, Monastir, Tunisia

    Samia Dabbou, Imed Rjiba, Manel Issaoui, Adel Echbili, Amel Nakbi, Noureddine Gazzah & Mohamed Hammami

  2. Plant Protection Laboratory, Tunisian National Institute for Agronomic Research, Ariana, Tunisia

    Ikbel Chaieb

Authors
  1. Samia Dabbou
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  2. Ikbel Chaieb
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  3. Imed Rjiba
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  4. Manel Issaoui
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  5. Adel Echbili
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  6. Amel Nakbi
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  7. Noureddine Gazzah
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  8. Mohamed Hammami
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Correspondence to Samia Dabbou.

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Dabbou, S., Chaieb, I., Rjiba, I. et al. Multivariate Data Analysis of Fatty Acid Content in the Classification of Olive Oils Developed Through Controlled Crossbreeding. J Am Oil Chem Soc 89, 667–674 (2012). https://doi.org/10.1007/s11746-011-1946-1

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  • DOI: https://doi.org/10.1007/s11746-011-1946-1

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