Variation in Volatile Leaf Oils of Twelve Eucalyptus Species Harvested from Hajeb Layoun Arboreta (Tunisia) |
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Authors: | Ameur Elaissi Hanène Medini Hanène Marzouki Mohamed Larbi Khouja Fréderic Lynene Rachid Chemli Fethia Harzallah‐Skhiri |
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Affiliation: | 1. Pharmacognosy Laboratory, Faculty of Pharmacy, Avenue Avicenne, 5019 Monastir, Tunisia;2. INGREF, BP n.2, 2080 Ariana, Tunisia;3. Pfizer Analytical Research Centre (Parc), Departement of Organic Chemistry, Gent University, Krijgaslaan 281 S4 bis, B‐9000 Gent;4. Higher Institute of Biotechnology of Monastir, Avenue Tahar Haddad, 5000 Monastir, Tunisia, (phone: +216‐73‐465405;5. fax: +216‐73‐465404) |
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Abstract: | Hydrodistillation of the dried leaves of twelve species of the genus Eucalyptus L' Hér ., i.e., E. brockwayi C. A. Gardn ., E. gracilis F. Muell ., E. gillii Maiden , E. largiflorens F. Muell ., E. loxophleba Benth ., E. occidentalis Endl ., E. oldfieldii F. Muell ., E. salmonophloia F. Muell ., E. sargentii Maiden , E. stricklandii Maiden , E. torquata Luehm ., and E. woodwardii Maiden , harvested from Hajeb Layoun arboreta (region of Kairouan, central Tunisia) in January 2005, afforded essential oils in yields varying from 0.5±0.1 to 5.7±0.5%, dependent on the species. E. sargentii and E. brockwayi provided the highest and the lowest percentage of essential oil amongst all the species examined, respectively. Analysis by GC (RI) and GC/MS allowed the identification of 133 components, representing 92.9–98.8% of the total oil. The contents of the different samples varied according to the species. The main components were 1,8‐cineole, terpinen‐4‐ol, α‐pinene ( 2 ), p‐cymene, aromadendrene ( 1 ), globulol ( 5 ), trans‐pinocarveol ( 6 ), spathulenol ( 7 ), β‐eudesmol, torquatone ( 3 ), and 4‐methylpentan‐2‐yl acetate ( 8 ). The principal component analysis and the hierarchical clustering indicated that the volatile leaf oil composition of the twelve Eucalyptus species could be clearly differentiated. |
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Keywords: | Eucalyptus Essential oils Hydrodistillation Principal‐component analysis (PCA) Hierarchical cluster analysis (HCA) |
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