Analysis of <i>Cleistopholis patens</i> Leaf and Trunk Bark Oils Using Combined GC‐ Flame Ionisation Detection, GC‐Retention Index, GC–MS and <sup>13</sup>C‐NMR

Chemistry & Biodiversity

et al. 2018

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The composition of Enantia polycarpa Engl. & Diels leaf essential oil has been investigated for the first time using a combination of chromatographic and spectroscopic techniques. The compositions of 52 leaf essential oil samples have been subjected to statistical analysis, hierarchical cluster analysis (HCA) and principal component analysis (PCA). Four groups were differentiated, of which the compositions were dominated by β-elemene and germacrene B (Group III, 22/52 samples); germacrene D (Group I, 16/52 samples); β-cubebene (Group IV, 8/52 samples) and by germacrene B and germacrene D (Group II, 6/52 samples). A special attention was brought to the quantification of the thermolabile components, germacrene A, germacrene B and germacrene C, as well as that of their rearranged compounds, β-elemene, γ-elemene and δ-elemene. C-NMR data of β-cubebene have been provided.

Section: Resultsmentioning

confidence: 99%

Section: Analysis By Combination Of Chromatographic and Spectroscopicmentioning

confidence: 99%

Composition and Chemical Variability of Enantia polycarpa Engl. & Diels Leaf Essential Oil from Côte d'Ivoire

Yapi

Chemistry & Biodiversity

et al. 2018

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“…Moreover, frequently these compounds have a very close RI and therefore their identification by GC‐MS in combination with RIs remains a difficult task. Identification of individual components of a natural mixture by GC‐MS is also difficult if not impossible for compounds that co‐elute on the GC columns at our disposal and for heat sensitive compounds that rearrange on the injector or on the GC column during the analysis . The worst occurs when the MS data of an essential oil component are not compiled in the computerized libraries that simultaneously contain spectra of other compounds exhibiting similar fragmentations.…”

Section: Resultsmentioning

confidence: 99%

“…In continuation of our on‐going work on the characterization of aromatic plants of the Ivory Coast through the chemical composition of their essential oils, we conducted this study on the leaf oil from P. longifolia . In this paper we highlight the key role of 13 C nuclear magnetic resonance (NMR) (in combination with column chromatography) in the identification of oxygenated sesquiterpenes whose mass data are not compiled in commercial computerized mass spectrometry (MS) libraries.…”

Section: Introductionmentioning

confidence: 99%

The key role of ¹³C NMR analysis in the identification of individual components of Polyalthia longifolia leaf oil

Ahibo

et al. 2014

Flavour & Fragrance J

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Polyalthia longifolia produces sesquiterpene-rich essential oils (EOs) whose compositions varied substantially from sample to sample depending on the origin of the plant (Nigeria and Vietnam). Nothing is known about the phytochemistry of Ivoirian P. longifolia. The aim of the present study was to characterize Ivoirian P. longifolia through the chemical composition of the leaf oil and to develop a strategy that allows the identification of minor oxygenated sesquiterpenes whose MS data are not compiled in commercial or laboratory-constructed MS libraries. The EO was submitted to gas chromatography (GC) retention index (RI), GC-mass spectrometry (MS) and 13 C nuclear magnetic resonance (NMR) analysis. Then hydrocarbons and oxygenated components were separated and the oxygenated fraction was chromatographed on silica gel. The fractions were analysed by GC(RI) and 13 C NMR. Seventy compounds accounting for 91.8% of the EO were identified. Sesquiterpene hydrocarbons, (E)-β-caryophyllene (27.8%), α-zingiberene (20.0%) and allo-aromadendrene (15.0%), were the major components. Various oxygenated sesquiterpenes whose MS data were not compiled in commercial and laboratory-made MS libraries were identified by comparison of their chemical shift values in the spectrum of the fraction of CC with those reported in the literature and compiled in a laboratory-constructed 13 C NMR data library. The composition of the investigated Ivoirian P. longifolia oil sample presented similarities and differences with Nigerian and Vietnamese oils. Combined analysis of Ivoirian P. longifolia EO by chromatographic and spectroscopic techniques including 13 C NMR without isolation of the components, appeared particularly efficient to identify minor components of EOs, whose MS spectra are insufficiently differentiated or MS data are not compiled in commercial and lab-constructed MS libraries.

“…As far as we know, no study has been reported in the literature on the chemical composition of P. oliveri essential oil. Within our ongoing work on the characterization of Ivoirian aromatic plants through the chemical composition of their essential oils , we were interested in P. oliveri leaf oil. The first analyses exhibited a complex essential oil with a composition dominated by sesquiterpenes.…”

Section: Introductionmentioning

confidence: 99%

Composition and Chemical Variability of Ivoirian Polyalthia oliveri Leaf Oil

Chemistry & Biodiversity

Ahibo

et al. 2016

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The chemical composition of 45 essential oil samples isolated from the leaves of Polyalthia oliveri harvested in three Ivoirian forests was investigated by GC-FID (retention indices measured on two columns of different polarities), and by (13) C-NMR, following a method developed in our laboratory. In total, 41 components were identified. The content of the main components varied drastically from sample to sample: (E)-β-caryophyllene (1.2 - 50.8%), α-humulene (0.6 - 47.7%), isoguaiene (0 - 27.9%), alloaromadendrene (0 - 24.7%), germacrene B (0 - 18.3%), δ-cadinene (0.4 - 19.3%), and β-selinene (0.2 - 18.5%). The analysis of six oil samples selected in function of their chromatographic profiles is reported in detail. The 45 oil compositions were submitted to hierarchical cluster and principal components analysis, which allowed the distinction of three groups within the oil samples. The compositions of the oils from group I (15 samples) and II (12 samples) were dominated by (E)-β-caryophyllene and α-humulene, respectively. Oil samples of group III (18 samples) needed to be partitioned into four subgroups III.1-III.4 whose compositions were dominated by alloaromadenrene, isoguaiene, germacrene B, and δ-cadinene, respectively.