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...
| Autor principal: | Barbosa, Paula Cristina Souza |
|---|---|
| Outros Autores: | Wiedemann, Larissa Silveira Moreira, Medeiros, Raquel da Silva, Sampaio, Paulo de Tarso Barbosa, Vieira, Gil, Veiga-Junior, Valdir F. |
| Grau: | Artigo |
| Idioma: | English |
| Publicado em: |
Chemistry and Biodiversity
2020
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| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/17848 |
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oai:repositorio:1-17848 |
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oai:repositorio:1-17848 Phytochemical fingerprints of copaiba oils (Copaifera multijuga Hayne) determined by multivariate analysis Barbosa, Paula Cristina Souza Wiedemann, Larissa Silveira Moreira Medeiros, Raquel da Silva Sampaio, Paulo de Tarso Barbosa Vieira, Gil Veiga-Junior, Valdir F. Amorphene Beta Elemene Bicyclogermacrene Bisabolol Caryophyllene Caryophyllene Oxide Copaene Copaiba Oil Copalic Acid Diterpene Germacrene D Humulene Pinifolic Acid Sesquiterpene Derivative Spathulenol Unclassified Drug Vegetable Oil Viridiflorol Chemical Composition Cluster Analysis Copaifera Multijuga Medicinal Plant Multivariate Analysis Nonhuman Phytochemistry Principal Component Analysis Seasonal Variation Copaiba Oil Copaifera Multijuga Hierarchical Cluster Analysis (hca) Multivariate Analysis (mva) Oleoresin Principal Component Analysis (pca) Cluster Analysis Fabaceae Gas Chromatography-mass Spectrometry Multivariate Analysis Oils, Volatile Principal Component Analysis Sesquiterpenes 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. Copyright © 2013 Verlag Helvetica Chimica Acta AG, Zürich. 2020-06-15T21:49:38Z 2020-06-15T21:49:38Z 2013 Artigo https://repositorio.inpa.gov.br/handle/1/17848 10.1002/cbdv.201200356 en Volume 10, Número 7, Pags. 1350-1360 Restrito Chemistry and Biodiversity |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Amorphene Beta Elemene Bicyclogermacrene Bisabolol Caryophyllene Caryophyllene Oxide Copaene Copaiba Oil Copalic Acid Diterpene Germacrene D Humulene Pinifolic Acid Sesquiterpene Derivative Spathulenol Unclassified Drug Vegetable Oil Viridiflorol Chemical Composition Cluster Analysis Copaifera Multijuga Medicinal Plant Multivariate Analysis Nonhuman Phytochemistry Principal Component Analysis Seasonal Variation Copaiba Oil Copaifera Multijuga Hierarchical Cluster Analysis (hca) Multivariate Analysis (mva) Oleoresin Principal Component Analysis (pca) Cluster Analysis Fabaceae Gas Chromatography-mass Spectrometry Multivariate Analysis Oils, Volatile Principal Component Analysis Sesquiterpenes |
| spellingShingle |
Amorphene Beta Elemene Bicyclogermacrene Bisabolol Caryophyllene Caryophyllene Oxide Copaene Copaiba Oil Copalic Acid Diterpene Germacrene D Humulene Pinifolic Acid Sesquiterpene Derivative Spathulenol Unclassified Drug Vegetable Oil Viridiflorol Chemical Composition Cluster Analysis Copaifera Multijuga Medicinal Plant Multivariate Analysis Nonhuman Phytochemistry Principal Component Analysis Seasonal Variation Copaiba Oil Copaifera Multijuga Hierarchical Cluster Analysis (hca) Multivariate Analysis (mva) Oleoresin Principal Component Analysis (pca) Cluster Analysis Fabaceae Gas Chromatography-mass Spectrometry Multivariate Analysis Oils, Volatile Principal Component Analysis Sesquiterpenes Barbosa, Paula Cristina Souza Phytochemical fingerprints of copaiba oils (Copaifera multijuga Hayne) determined by multivariate analysis |
| topic_facet |
Amorphene Beta Elemene Bicyclogermacrene Bisabolol Caryophyllene Caryophyllene Oxide Copaene Copaiba Oil Copalic Acid Diterpene Germacrene D Humulene Pinifolic Acid Sesquiterpene Derivative Spathulenol Unclassified Drug Vegetable Oil Viridiflorol Chemical Composition Cluster Analysis Copaifera Multijuga Medicinal Plant Multivariate Analysis Nonhuman Phytochemistry Principal Component Analysis Seasonal Variation Copaiba Oil Copaifera Multijuga Hierarchical Cluster Analysis (hca) Multivariate Analysis (mva) Oleoresin Principal Component Analysis (pca) Cluster Analysis Fabaceae Gas Chromatography-mass Spectrometry Multivariate Analysis Oils, Volatile Principal Component Analysis Sesquiterpenes |
| description |
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. Copyright © 2013 Verlag Helvetica Chimica Acta AG, Zürich. |
| format |
Artigo |
| author |
Barbosa, Paula Cristina Souza |
| author2 |
Wiedemann, Larissa Silveira Moreira Medeiros, Raquel da Silva Sampaio, Paulo de Tarso Barbosa Vieira, Gil Veiga-Junior, Valdir F. |
| author2Str |
Wiedemann, Larissa Silveira Moreira Medeiros, Raquel da Silva Sampaio, Paulo de Tarso Barbosa Vieira, Gil Veiga-Junior, Valdir F. |
| title |
Phytochemical fingerprints of copaiba oils (Copaifera multijuga Hayne) determined by multivariate analysis |
| title_short |
Phytochemical fingerprints of copaiba oils (Copaifera multijuga Hayne) determined by multivariate analysis |
| title_full |
Phytochemical fingerprints of copaiba oils (Copaifera multijuga Hayne) determined by multivariate analysis |
| title_fullStr |
Phytochemical fingerprints of copaiba oils (Copaifera multijuga Hayne) determined by multivariate analysis |
| title_full_unstemmed |
Phytochemical fingerprints of copaiba oils (Copaifera multijuga Hayne) determined by multivariate analysis |
| title_sort |
phytochemical fingerprints of copaiba oils (copaifera multijuga hayne) determined by multivariate analysis |
| publisher |
Chemistry and Biodiversity |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/17848 |
| _version_ |
1787141630812225536 |
| score |
11.755432 |