Biosensors and Nanotechnology Group, Department of Biology, Faculty of Sciences, Moulay Ismaïl University, B.P., Zitoune, Meknes 11201, Morocco.
Sensor Electronic & Instrumentation Group, Department of Physics, Faculty of Sciences, Moulay Ismaïl University, B.P., Zitoune, Meknes 11201, Morocco.
Sensors (Basel). 2020 Nov 26;20(23):6750. doi: 10.3390/s20236750.
Essential oil resins of (Okoume) and (Aiele) species, of the Burseraceae family, were studied to investigate their bioactive constituents and their antibacterial activities. Aiele resin had a higher yield (6.86%) of essential oil than Okoume (3.62%). Twenty-one compounds for Okoume and eighteen for Aiele essential oil were identified using a gas chromatography-mass spectrometry (Gp-C-MS) technique. The main compounds identified in Okoume essential oil were benzenemethanol, α, α,4-trimethyl (28.85%), (+)-3-carene (3,7,7-trimethyl bicyclo[4.1.0]hept-3-ene) (17.93%), D-Limonene ((4R)-1-methyl-4-prop-1-en-2-ylcyclohexene) (19.36%). With regard to the Aiele essential oil, we identified (1R,4S)-1-methyl-4-propan-2-ylcyclohex-2-en-1-ol (26.64%), and 1-methyl-4-propan-2-ylcyclohex-2-en-1-ol (26.83%). Two strains of bacteria, and , were used in antibacterial tests. was found to be more sensitive to Okoume and Aiele essential oils, with a high inhibition zone ranging from 20 to 16 mm. In comparison, the inhibition zone ranged from 6 to 12 mm for . An electronic nose (e-nose) combined with pattern analysis methods such as principal component analysis (PCA), discriminant function analysis (DFA), and hierarchical cluster analysis (HCA) were used to discriminate the essential oil samples. In summary, the e-nose and GC-MS allowed the identification of bioactive compounds in the essential oil samples, which have a strong antimicrobial activity, with satisfactory results.
(奥古曼)和(非洲榄仁)树种的香脂树脂,采自橄榄科植物,对其生物活性成分和抗菌活性进行了研究。Aiele 树脂的精油收率(6.86%)高于 Okoume(3.62%)。使用气相色谱-质谱联用仪(GC-MS)技术鉴定了 Okoume 和 Aiele 精油的 21 种和 18 种化合物。在 Okoume 精油中鉴定出的主要化合物为苯甲醇,α,α,4-三甲基(28.85%),(+)-3-蒈烯(3,7,7-三甲基双环[4.1.0]庚-3-烯)(17.93%),D-柠檬烯((4R)-1-甲基-4-丙-1-烯-2-基环己烯)(19.36%)。对于 Aiele 精油,我们鉴定出(1R,4S)-1-甲基-4-丙-2-基环己-2-烯-1-醇(26.64%)和 1-甲基-4-丙-2-基环己-2-烯-1-醇(26.83%)。两种细菌,和 ,用于抗菌试验。发现 对 Okoume 和 Aiele 精油更敏感,抑菌圈高达 20-16mm。相比之下,对于 ,抑菌圈范围为 6-12mm。电子鼻(e-nose)结合主成分分析(PCA)、判别函数分析(DFA)和层次聚类分析(HCA)等模式分析方法,用于区分精油样品。总之,电子鼻和 GC-MS 可用于识别精油样品中的生物活性化合物,这些化合物具有很强的抗菌活性,结果令人满意。