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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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Published in: | Chemistry & biodiversity 2013-07, Vol.10 (7), p.1350-1360 |
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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. |
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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.</description><identifier>ISSN: 1612-1872</identifier><identifier>EISSN: 1612-1880</identifier><identifier>DOI: 10.1002/cbdv.201200356</identifier><identifier>PMID: 23847080</identifier><language>eng</language><publisher>Zürich: WILEY-VCH Verlag</publisher><subject>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</subject><ispartof>Chemistry & biodiversity, 2013-07, Vol.10 (7), p.1350-1360</ispartof><rights>Copyright © 2013 Verlag Helvetica Chimica Acta AG, Zürich</rights><rights>Copyright © 2013 Verlag Helvetica Chimica Acta AG, Zürich.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4446-649f61072d806e870cd5d1b1d7c1acde5250e7fcc6eac092c4a6cf3424f3e6e23</citedby><cites>FETCH-LOGICAL-c4446-649f61072d806e870cd5d1b1d7c1acde5250e7fcc6eac092c4a6cf3424f3e6e23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23847080$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Souza Barbosa, Paula Cristina</creatorcontrib><creatorcontrib>Moreira Wiedemann, Larissa Silveira</creatorcontrib><creatorcontrib>da Silva Medeiros, Raquel</creatorcontrib><creatorcontrib>de Tarso Barbosa Sampaio, Paulo</creatorcontrib><creatorcontrib>Vieira, Gil</creatorcontrib><creatorcontrib>Florêncio da Veiga-Junior, Valdir</creatorcontrib><title>Phytochemical Fingerprints of Copaiba Oils (Copaifera multijuga Hayne) Determined by Multivariate Analysis</title><title>Chemistry & biodiversity</title><addtitle>Chemistry & Biodiversity</addtitle><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.</description><subject>Cluster Analysis</subject><subject>Copaiba oil</subject><subject>Copaifera multijuga</subject><subject>Fabaceae - chemistry</subject><subject>Gas Chromatography-Mass Spectrometry</subject><subject>Hierarchical cluster analysis (HCA)</subject><subject>Multivariate Analysis</subject><subject>Multivariate analysis (MVA)</subject><subject>Oils, Volatile - analysis</subject><subject>Oils, Volatile - isolation & purification</subject><subject>Oleoresin</subject><subject>Principal Component Analysis</subject><subject>Principal component analysis (PCA)</subject><subject>Sesquiterpenes - chemistry</subject><subject>Studies</subject><issn>1612-1872</issn><issn>1612-1880</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqFkUtv1DAURi1ERR-wZYkssSmLDNePOMmyTJlOpQ5FannsLMe5aT3kMdhJS_49maYdITZd-XW-I11_hLxlMGMA_KPNi7sZB8YBRKxekAOmGI9YmsLL3T7h--QwhPXIj_fpK7LPRSoTSOGArL_eDl1rb7F21lR04Zob9Bvvmi7QtqTzdmNcbuilqwI9fjiV6A2t-6pz6_7G0KUZGvxAT7FDX7sGC5oPdLV9vjPemQ7pSWOqIbjwmuyVpgr45nE9It8Wn6_ny-ji8ux8fnIRWSmlipTMSsUg4UUKCtMEbBEXLGdFYpmxBcY8BkxKaxUaCxm30ihbCsllKVAhF0fkePJufPu7x9Dp2gWLVWUabPugmRQSmJAxex4VWZaN6nRrff8fum57P442UTIGUDBSs4myvg3BY6nHv6yNHzQDvS1MbwvTu8LGwLtHbZ_XWOzwp4ZGIJuAe1fh8IxOzz-dfv9XHk1ZFzr8s8sa_0urRCSx_vHlTP9cra4Wi-WVvhZ_AaznsS8</recordid><startdate>201307</startdate><enddate>201307</enddate><creator>Souza Barbosa, Paula Cristina</creator><creator>Moreira Wiedemann, Larissa Silveira</creator><creator>da Silva Medeiros, Raquel</creator><creator>de Tarso Barbosa Sampaio, Paulo</creator><creator>Vieira, Gil</creator><creator>Florêncio da Veiga-Junior, Valdir</creator><general>WILEY-VCH Verlag</general><general>WILEY‐VCH Verlag</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>7X8</scope><scope>7QR</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope></search><sort><creationdate>201307</creationdate><title>Phytochemical Fingerprints of Copaiba Oils (Copaifera multijuga Hayne) Determined by Multivariate Analysis</title><author>Souza Barbosa, Paula Cristina ; 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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. 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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 |
title | Phytochemical Fingerprints of Copaiba Oils (Copaifera multijuga Hayne) Determined by Multivariate Analysis |
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