scholarly journals GC-MS fingerprints of mint essential oils

2015 ◽  
Vol 13 (1) ◽  
Author(s):  
Mirosław A. Hawrył ◽  
Krystyna Skalicka-Woźniak ◽  
Ryszard Świeboda ◽  
Małgorzata Niemiec ◽  
Klaudia Stępak ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Essential Oils ◽  
Secondary Metabolite ◽  
Similarity Measures ◽  
Principal Component ◽  
Component Analysis ◽  
Metabolite Content

AbstractEssential oils from eleven Mentha species were obtained by Deryng hydrodistillation and analysed by GC–MS: 44 compounds were identified. The most abundant were menthone, isomenthone, menthol, carvone, piperitone oxide, D-limonene and eucalyptol. Chemometric similarity measures and principal component analysis were calculated, allowing comparisons based on secondary metabolite content. The fingerprints may be helpful in chemotaxonomy.

scholarly journals Chemotypes of Pistacia atlantica Leaf Essential Oils from Algeria

2010 ◽  
Vol 5 (1) ◽  
pp. 1934578X1000500 ◽  
Author(s):  
Nadhir Gourine ◽  
Isabelle Bombarda ◽  
Mohamed Yousfi ◽  
Emile M. Gaydou
Keyword(s):  
Principal Component Analysis ◽  
Essential Oil ◽  
Essential Oils ◽  
Principal Component ◽  
Component Analysis ◽  
Statistical Analyses ◽  
Pistacia Atlantica

The essential oils obtained by hydrodistillation of Pistacia atlantica Desf. leaves collected from different regions of Algeria were analyzed by GC and GC-MS. The essential oil was rich in monoterpenes and oxygenated sesquiterpenes. The major components were α-pinene (0.0-67%), δ-3-carene (0.0-56%), spathulenol (0.5-22%), camphene (0.0-21%), terpinen-4-ol (0.0-16%) and β-pinene (0.0-13%). Among the various components identified, twenty were used for statistical analyses. The result of principal component analysis (PCA) showed the occurrence of three chemotypes: a δ-3-carene chemotype (16.4-56.2%), a terpinen-4-ol chemotype (10.8-16.0%) and an α-pinene/camphene chemotype (10.9-66.6% / 3.8-20.9%). It was found that the essential oil from female plants (δ-3-carene chemotype) could be easily differentiated from the two other chemotypes corresponding to male trees.

Principle Component Analysis Based on New Symmetric Similarity Measures for Heavy-Tailed Data

2018 ◽  
Vol 17 (04) ◽  
pp. 1850029
Author(s):  
Mohammad Seidpisheh ◽  
Adel Mohammadpour
Keyword(s):  
Principal Component Analysis ◽  
Similarity Measure ◽  
Principle Component Analysis ◽  
Similarity Measures ◽  
Principal Component ◽  
Component Analysis ◽  
Principle Component ◽  
Heavy Tailed Distributions ◽  
Heavy Tailed ◽  
Artificial Datasets

We consider the principal component analysis (PCA) for the heavy-tailed distributions. A traditional measure for the classical PCA is the covariance measure. Due to the non-existence of variance of many heavy-tailed distributions, this measure cannot be used for them. We will clarify how to perform PCA in heavy-tailed data by extending a similarity measure based on covariance. We introduce similarity measures based on a new dependence coefficient of heavy-tailed distributions. Using real and artificial datasets, the performance of the proposed PCA is evaluated and compared with the classical one.

scholarly journals Multivariate statistical analysis of the essential oils of five Beilschmiediaspecies from Peninsular Malaysia

2021 ◽  
Vol 20 (1) ◽  
pp. 61-70
Author(s):  
Wan Mohd Nuzul Hakimi Wan Salleh ◽  
◽  
Shazlyn Milleana Shaharudin ◽  
Keyword(s):  
Principal Component Analysis ◽  
Gas Chromatography ◽  
Data Analysis ◽  
Essential Oils ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Principal Component ◽  
Component Analysis ◽  
Chemical Components ◽  
Herbal Products

Identification of the chemical compositionof essential oils is very important for ensuring the quality of finished herbal products. The objective of the study was to analyze the chemical components present in the essential oils of five Beilschmiediaspecies (i.e. B. kunstleri, B. maingayi, B. penangiana, B. madang, and B. glabra) by multivariate data analysis using principal component analysis (PCA) and hierarchical clustering analysis (HCA) methods. The essential oils were obtained by hydrodistillation and fully characterized by gas chromatography (GC) and gas chromatography-mass spectrometry (GC-MS). A total of 108 chemical components were successfully identified from the essential oils of five Beilschmiediaspecies. The essential oils were characterized by high proportions of β-caryophyllene (B.kunstleri), δ-cadinene (B. penangianaand B. madang), and β-eudesmol (B. maingayiand B. glabra). Principal component analysis (PCA) and hierarchical cluster analysis (HCA) revealed that chemical similarity was highest for all samples, except for B. madang. The multivariate data analysis may be used for the identification and characterization of essential oils from different Beilschmiediaspecies that are to be used as raw materials of traditional herbal products.

scholarly journals Chemical Compositions and Antioxidant Activities of Indonesian Citrus Essential Oils and Their Elucidation Using Principal Component Analysis

2020 ◽  
Author(s):  
Euis Julaeha ◽  
Kristin Shinta Dewi ◽  
Mohamad Nurzaman ◽  
Tatang Wahyudi ◽  
Tati Herlina ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Antioxidant Activity ◽  
Essential Oils ◽  
Antioxidant Activities ◽  
Principal Component ◽  
Component Analysis ◽  
Chemical Compositions ◽  
Dpph Method ◽  
Ic50 Values ◽  
Citrus Essential Oils

Citrus essential oils (EOs) have various bioactivities like antioxidants, with many applications. Antioxidant activities depend on the chemical compositions of the EOs, which are affected by climate, soil, and geographical region. Thus, investigations on chemical compositions and antioxidant activities of Citrus EOs in different countries are valuable. In this study, we distilled EOs from peels of Indonesian-grown Citrus, including C. nobilis, C. limon, C. aurantifolia, C. amblycarpa, and Citrus spp.Chemical compositions of EOs were analyzed using Gas Chromatography-Mass Spectrometer (GC-MS), whereas the antioxidant activities were determined by employing 2,2-diphenyl-2-picrylhydrazyl (DPPH) method. Furthermore, principal component analysis (PCA) was applied to elucidate the main contributing compounds for antioxidant activity. The results show that all EOs possess unique chemical characteristics, with limonene as the majority constituent. For antioxidant activities, C. limon and C. amblycarpa EOs are the two strongest, IC50 values below 7.00 μL/mL. PCA approach suggests that -terpinene mainly contributes to the high antioxidant activities of C. limon and C. amblycarpa. Moreover, o-cymene, thymol, p-cymene, and α-pharnesene may also be responsible for the antioxidant activity of C. limon EO. These results are valuable information for the applications of Citrus EOs as antioxidant sources.

scholarly journals Composition and Variability of the Essential Oil of the Flowers of Lavandula stoechas from Various Geographical Sources

2015 ◽  
Vol 10 (11) ◽  
pp. 1934578X1501001 ◽  
Author(s):  
Salvatore La Bella ◽  
Teresa Tuttolomondo ◽  
Giacomo Dugo ◽  
Giuseppe Ruberto ◽  
Claudio Leto ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Chemical Composition ◽  
Essential Oil ◽  
Essential Oils ◽  
Statistical Method ◽  
Principal Component ◽  
Dry Weight ◽  
Component Analysis ◽  
Percentage Content ◽  
Lavandula Stoechas

Samples of flowers of wild Lavandula stoechas L. spp. stoechas populations were collected in three areas of Sicily (Italy) and were characterized in agronomic and chemical terms. Essential oil (EO) was extracted by hydrodistillation and analyzed by GC-FID and GC-MS. GC-FID and GC-MS analyses permitted identification of 89 compounds from the EO. The samples were separated into 3 groups using PCA (Principal Component Analysis) statistical method, with reference to the chemical composition of the EO. All three Sicilian populations of lavender were identified as the fenchone chemotype with percentage content ranged between 52.8–71.1%. The population of Partinico showed the highest dry weight of flowers per plant (221.3 g), but the lowest EO yield (0.37%). The essential oils of the three wild Sicilian populations of L. stoechas L. spp. stoechas showed a greater chemical differentiation than those obtained from other Mediterranean areas.

scholarly journals Essential Oils from Schinus Species of Northwest Argentina: Composition and Antifungal Activity

2014 ◽  
Vol 9 (7) ◽  
pp. 1934578X1400900 ◽  
Author(s):  
Diego A. Sampietro ◽  
María Melina E. Belizan ◽  
Zareath P. Terán Baptista ◽  
Marta A. Vattuone ◽  
Cesar A. N. Catalán
Keyword(s):  
Principal Component Analysis ◽  
Antifungal Activity ◽  
Essential Oils ◽  
Fusarium Species ◽  
Fusarium Verticillioides ◽  
Principal Component ◽  
Component Analysis ◽  
Additive Interaction ◽  
Antifungal Effect ◽  
Thyme Oil

The composition of the essential oils from leaves (Sal) and fruits of S areira (Saf), and fruits of S. fasciculatus (Sff) and S. gracilipes (Sgf) were analyzed by GC/MS. The major compounds identified were sabinene (26.0±0.5%), bicyclogermacrene (14.5±0.4%), and E-citral (6.7±0.2%) in Sal oil, limonene (27.7±0.7%), sabinene (16.0±0.5%), β-phellandrene (14.6±0.8%) and bicyclogermacrene (8.1±0.2%) in Saf oil, sabinene (22.7±0.6%), α-phellandrene (18.7±0.3%), β-phellandrene (15.7±0.4%), and bicyclogermacrene (8.1±0.2%) in Sff oil and β-pinene (25.4±0.8%), α-pinene (24.7±0.7%), and sabinene (13.6±0.4%) in Sgf oil. The antifungal activity of the four oils was evaluated on strains of Fusarium verticillioides and F. graminearum, and the results compared with the effect of epoxyconazole, pyraclostrobin and thyme oil. The Sff oil had the highest antifungal activity among the Schinus oils tested, with MIC100 (F. graminearum) = 6 ± and MIC100 (F. verticillioides) = 12 ±. A principal component analysis suggests that 9 constituents (α-thujene, α-terpinene, p-cymene, γ-terpinene, terpinolene, 1-terpineol, α-calacorene, α-phellandrene, and terpinen-4-ol) explain the higher antifungal effect of Sff. The MIC100s of Schinus oils were on average 30–60 and 8.5–17 fold lower than those obtained for thyme oil on F. verticillioides and F. graminearum, respectively. In the case of commercial fungicides, their MIC100s were three orders of magnitude lower than those of Schinus oils. The last ones showed an additive interaction when assayed in mixtures with the commecial fungicides and thyme oil. The results suggest that the doses of fungicides required for control of the Fusarium species can be reduced when they are assayed in mixtures with the Schinus oils.

scholarly journals Short Communication: Composition of terpenoid compounds in essential oils extracted from stems of eight Piper species and their role in taxonomic relationships

2020 ◽  
Vol 21 (8) ◽  
Author(s):  
Laurentius Hartanto Nugroho ◽  
ELIZABETH CINDY LEXINTA ◽  
YOSEP PRIYONO ◽  
RATNA SUSANDARINI
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Chemical Composition ◽  
Essential Oils ◽  
Short Communication ◽  
Principal Component ◽  
Component Analysis ◽  
Taxonomic Relationships ◽  
Species Cluster ◽  
Medicinal Properties

Abstract. Nugroho LH, Lexinta EC, Priyono Y, Susandarini R. 2020. Short Communication: Composition of terpenoid compounds in essential oils extracted from stems of eight Piper species and their role in taxonomic relationships. Biodiversitas 21: 3438-3443. Piper is widely used as source of essential oils from which many bioactive compounds with medicinal properties were used in traditional medicine. The objectives of this study were to explore the chemical composition of essential oils of eight Piper species and to identify its role in determining taxonomic relationships. Chemical composition of essential oils was analyzed using GC-MS analysis on petroleum ether extracts from stems of eight Piper species, while taxonomic relationship was determined using cluster analysis and principal component analysis. Results showed that 21 terpenoid compounds were identified as constituents of the essential oils, consisted of 4 monoterpenes, 14 sesquiterpenes, and 3 diterpenes. The composition of essential oils varied between species. Cluster analysis and principal component analysis showed that differences in the composition of essential oil compounds determined the grouping of species into two clusters. Five compounds were identified as having major role in the grouping of species. These compounds were α-selinene, α-caryophyllene, β-caryophyllene, farnesyl acetone, and α-amorphene. The results of this study offer opportunities for the use of Piper stems as source of essential oils. This study also confirms the interspecies variability in composition of essential oils, and at the same time supports the use of essential oils in chemotaxonomic studies.

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