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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Chemistry & Biodiver...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Chemistry & Biodiversity
Article . 2013 . Peer-reviewed
License: Wiley Online Library User Agreement
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Phytochemical Fingerprints of Copaiba Oils (Copaifera multijugaHayne) Determined by Multivariate Analysis

Authors: Barbosa, Paula Cristina Souza; Wiedemann, Larissa Silveira Moreira; Medeiros, Raquel da Silva; Sampaio, Paulo de Tarso Barbosa; Vieira, Gil; Veiga-Junior, Valdir F.;

Phytochemical Fingerprints of Copaiba Oils (Copaifera multijugaHayne) Determined by Multivariate Analysis

Abstract

AbstractOils of various species of Copaifera are commonly found in pharmacies and on popular markets and are widely sold for their medicinal properties. However, the chemical variability between and within species and the lack of standardization of these oils have presented barriers to their wider commercialization. With the aim to recognize patterns for the chemical composition of copaiba oils, 22 oil samples of C. multijuga Hayne species were collected, esterified with CH2N2, and characterized by GC‐FID and GC/MS analyses. The chromatographic data were processed using hierarchical cluster analysis (HCA) and principal component analysis (PCA). In total, 35 components were identified in the oils, and the multivariate analyses (MVA) allowed the samples to be divided into three groups, with the sesquiterpenes β‐caryophyllene and caryophyllene oxide as the main components. These sesquiterpenes, which were detected in all the samples analyzed in different concentrations, were the most important constituents in the differentiation of the groups. There was a prevalence of sesquiterpenes in all the oils studied. In conclusion, GC‐FID and GC/MS analyses combined with MVA can be used to determine the chemical composition and to recognize chemical patterns of copaiba oils.

Country
Brazil
Keywords

Phytochemistry, Copaene, Medicinal Plant, Hierarchical Cluster Analysis (hca), Amorphene, Volatile, Chemical Composition, Gas Chromatography-Mass Spectrometry, Copaiba Oil, Caryophyllene Oxide, Unclassified Drug, Oleoresin, Beta Elemene, Oils, Volatile, Cluster Analysis, Multivariate Analysis (mva), Vegetable Oil, Polycyclic Sesquiterpenes, Bisabolol, Caryophyllene, Principal Component Analysis, Spathulenol, Fabaceae, Gas Chromatography-mass Spectrometry, Seasonal Variation, Humulene, Nonhuman, Bicyclogermacrene, Principal Component Analysis (pca), Pinifolic Acid, Copalic Acid, Sesquiterpene Derivative, Viridiflorol, Copaifera Multijuga, Multivariate Analysis, Diterpene, Germacrene D, Oils, Sesquiterpenes

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Top 10%
Top 10%
Top 10%
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