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 | Acesso ao texto completo restrito à biblioteca da Embrapa Clima Temperado. Para informações adicionais entre em contato com cpact.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Clima Temperado. |
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Data corrente: |
16/03/2017 |
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Data da última atualização: |
28/09/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - A |
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Autoria: |
HOFFMANN, J. F.; CARVALHO, I. C.; BARBIERI, R. L.; ROMBALDI, C. V.; CHAVES, F. C. |
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Afiliação: |
JESSICA FERNANDA HOFFMANN, UFPEL; IVAN RICARDO CARVALHO, UFPEL; ROSA LIA BARBIERI, CPACT; CESAR VALMOR ROMBALDI, UFPEL; FABIO CLASEN CHAVES, UFPEL. |
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Título: |
Butia spp. (arecaceae) lc-ms-based metabolomics for species and geographical origin discrimination. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Journal of Agricultural and Food Chemistry, v. 65, n. 2, p. 523-532, 2017. |
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ISSN: |
0021-8561 |
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Idioma: |
Inglês |
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Conteúdo: |
The metabolic variability of fruit from Butia spp. (Arecaceae) genotypes from different geographical locations was characterized using untargeted metabolomics by liquid chromatography?mass spectrometry (LC-MS) followed by multivariate data analyses. Principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) from LC-MS data sets showed a clear distinction among Butia catarinensis, Butia odorata, Butia paraguayensis, and Butia yatay. The major metabolites that contributed to species discrimination were primary metabolites including sugars and organic acids and specialized metabolites such as tetrahydroxy-trans-stilbene and rutin. B. odorata fruit from Tapes, RS, Brazil, showed a high content of organic acids and flavonoids, whereas B. odorata fruits from Capa?o do Lea?o, RS, Brazil, showed a high sugar content. The results demonstrate that LC-ESI-qToF-MS-based metabolic profiling coupled with chemometric analysis can be used to discriminate among Butia species and between geographical origins of B. odorata and to identify primary and specialized metabolites responsible for the discrimination. |
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Palavras-Chave: |
Palmeira. |
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Thesagro: |
Butiá; Fruticultura. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01791naa a2200217 a 4500
001 2067155
005 2017-09-28
008 2017 bl uuuu u00u1 u #d
022 $a0021-8561
100 1 $aHOFFMANN, J. F.
245 $aButia spp. (arecaceae) lc-ms-based metabolomics for species and geographical origin discrimination.$h[electronic resource]
260 $c2017
520 $aThe metabolic variability of fruit from Butia spp. (Arecaceae) genotypes from different geographical locations was characterized using untargeted metabolomics by liquid chromatography?mass spectrometry (LC-MS) followed by multivariate data analyses. Principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) from LC-MS data sets showed a clear distinction among Butia catarinensis, Butia odorata, Butia paraguayensis, and Butia yatay. The major metabolites that contributed to species discrimination were primary metabolites including sugars and organic acids and specialized metabolites such as tetrahydroxy-trans-stilbene and rutin. B. odorata fruit from Tapes, RS, Brazil, showed a high content of organic acids and flavonoids, whereas B. odorata fruits from Capa?o do Lea?o, RS, Brazil, showed a high sugar content. The results demonstrate that LC-ESI-qToF-MS-based metabolic profiling coupled with chemometric analysis can be used to discriminate among Butia species and between geographical origins of B. odorata and to identify primary and specialized metabolites responsible for the discrimination.
650 $aButiá
650 $aFruticultura
653 $aPalmeira
700 1 $aCARVALHO, I. C.
700 1 $aBARBIERI, R. L.
700 1 $aROMBALDI, C. V.
700 1 $aCHAVES, F. C.
773 $tJournal of Agricultural and Food Chemistry$gv. 65, n. 2, p. 523-532, 2017.
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