2020
DOI: 10.3390/antibiotics9080518
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Chemical Profiling and Discrimination of Essential Oils from Six Ferula Species Using GC Analyses Coupled with Chemometrics and Evaluation of Their Antioxidant and Enzyme Inhibitory Potential

Abstract: The differences in the composition of essential oils obtained from the aerial parts of six Ferula species viz., F. caratavica (Fc), F. kuchistanica (Fk), F. pseudoreoselinum (Fp), F. samarcandica (Fs), F. tenuisecta (Ft) and F. varia (Fv) were detected both qualitatively and quantitatively using GC-MS and GC-FID analyses. One hundred and six metabolites were identified that account for 92.1, 96.43, 87.43, 95.95, 92.90 and 89.48% of Fc, Fk, Fp, Fs, Ft and Fv whole essential oils, respectively. The data from the… Show more

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Cited by 11 publications
(8 citation statements)
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References 33 publications
(39 reference statements)
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“…The presented results could open new windows for potential medical applications of the members of Astragalus. Comparing our present results with those for Ferula essential oils, it was seen that the latter showed superior activity [ 30 ].…”
Section: Resultssupporting
confidence: 65%
“…The presented results could open new windows for potential medical applications of the members of Astragalus. Comparing our present results with those for Ferula essential oils, it was seen that the latter showed superior activity [ 30 ].…”
Section: Resultssupporting
confidence: 65%
“…In F. tunetana, α-pinene (39.8%) was the main component [17] and α-thujene (13.5%) is present in the highest concentration in F. tingitana [18]. On the same context, these results were following our previous studies on other Ferula species where D-limonene was a major identified component in 6 different Ferula species [19]. These diverse metabolic profiles of Ferula, can be attributed to the wide spread of the genus in many continents and the subsequent great variability in the climatic and the soil characteristics, which have a great impact on the essential oils composition in the plants [20].…”
Section: Chemical Composition Determinationsupporting
confidence: 88%
“…Multivariate data analysis was carried out using the data obtained from different in vitro biological assays, and the data resulting from ADMET postulation representing human intestinal absorption, aqueous solubility, blood–brain barrier penetration (BBB), hepatotoxicity, plasma protein binding (PPB), in addition to cytochrome P450 (2D6) inhibition. This was performed using the unsupervised pattern recognition technique by principal component analysis (PCA) through CAMO’s Unscrambler ® X 10.4 software (Computer-Aided Modeling, As, Norway) [ 24 , 25 ].…”
Section: Methodsmentioning
confidence: 99%