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

Oils 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 commercia...

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Bibliographic Details
Published in:Chemistry & biodiversity 2013-07, Vol.10 (7), p.1350-1360
Main Authors: Souza Barbosa, Paula Cristina, Moreira Wiedemann, Larissa Silveira, da Silva Medeiros, Raquel, de Tarso Barbosa Sampaio, Paulo, Vieira, Gil, Florêncio da Veiga-Junior, Valdir
Format: Article
Language:English
Subjects:
Cluster Analysis
Copaiba oil
Copaifera multijuga
Fabaceae - chemistry
Gas Chromatography-Mass Spectrometry
Hierarchical cluster analysis (HCA)
Multivariate Analysis
Multivariate analysis (MVA)
Oils, Volatile - analysis
Oils, Volatile - isolation & purification
Oleoresin
Principal Component Analysis
Principal component analysis (PCA)
Sesquiterpenes - chemistry
Studies
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Summary:Oils 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.
ISSN:1612-1872
1612-1880
DOI:10.1002/cbdv.201200356