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| 1. |  | TIMOFEICZYK JUNIOR, R.; GRAÇA, L. R.; BERGER, R.; SOUSA, R. A. T. de M. e; HOSOKAWA, R. T. Estrutura de custos do manejo do baixo impacto em florestas tropicais - um estudo de caso. Floresta, Curitiba, v. 35, n. 1, p. 89-103, jan./abr. 2005.| Biblioteca(s): Embrapa Florestas. |
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| 5. | | MORETTI, M. S.; TSUKAMOTO FILHO, A. de A.; COSTA, R. B. da; RONDON NETO, R. M.; MEDEIROS, R. A.; SOUSA, R. A. T. de M. e. Crescimento inicial de plantas de teca em monocultivo e sistema Taungya com milho em Figueiropolis D´Oeste, Estado de Mato Grosso. Scientia Forestalis, Piracicaba, v. 42, n. 102, p. 269-277, jun. 2014.| Biblioteca(s): Embrapa Florestas. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Instrumentação. Para informações adicionais entre em contato com cnpdia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
23/01/2023 |
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Data da última atualização: |
24/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
SANTOS, Y. J. S.; CAMPOS, N. A.; BICCA, G. B.; SORA, G. T. S.; POLESI, L. F.; ALBERTE, T. M.; SANTOS, P. M.; GARCIA, R. H. S.; COLNAGO, L. A.; OLIVEIRA-FOLADOR. G. |
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Afiliação: |
LUIZ ALBERTO COLNAGO, CNPDIA. |
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Título: |
Non-destructive determination of the oil content in peach palm (Bactris gasipaes) flour using NMR and NIR spectroscopies. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Food Science and Technology, v. 43, e112322, 2023. |
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Páginas: |
1 - 8 |
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ISSN: |
1678-457X |
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DOI: |
https://doi.org/10.1590/fst.112322 |
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Idioma: |
Inglês |
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Conteúdo: |
The oil from the fruit of peach palm or Pupunha (Bactris gasipaes) is an example of a material with low-cost and good antioxidant capacity. However, Conventional methods for measuring oil content are time-consuming, labor-intensive and use toxic chemicals. In this sense, the aim of this study was evaluated fast and non-destructive spectroscopy methods, such as Near Infrared (NIR) and Time-Domain Nuclear Magnetic Resonance (TD-NMR) (CPMG and ROSE pulse sequences), to quantify the oil content in pupunha flours collected in the amazon forest. For this, 93 samples were used and the results showed three distinct levels of oil in the samples: high, medium and low oil content. Furthermore, the determination coefficient (R2 ) reached values of 0.92, 0.92 and 0.70 for NIR, TD-NMR (ROSE) and TD-NMR (CPMG), respectively. Therefore, the NIR and TD-NMR (ROSE) methods demonstrate a higher prediction efficiency, with the NIR achieving 100% classification of the samples |
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Palavras-Chave: |
Amazonian fruit; NIR; Oil content; TD-RMN. |
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Categoria do assunto: |
-- |
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Marc: |
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001 2151173
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008 2023 bl uuuu u00u1 u #d
022 $a1678-457X
024 7 $ahttps://doi.org/10.1590/fst.112322$2DOI
100 1 $aSANTOS, Y. J. S.
245 $aNon-destructive determination of the oil content in peach palm (Bactris gasipaes) flour using NMR and NIR spectroscopies.$h[electronic resource]
260 $c2023
300 $a1 - 8
520 $aThe oil from the fruit of peach palm or Pupunha (Bactris gasipaes) is an example of a material with low-cost and good antioxidant capacity. However, Conventional methods for measuring oil content are time-consuming, labor-intensive and use toxic chemicals. In this sense, the aim of this study was evaluated fast and non-destructive spectroscopy methods, such as Near Infrared (NIR) and Time-Domain Nuclear Magnetic Resonance (TD-NMR) (CPMG and ROSE pulse sequences), to quantify the oil content in pupunha flours collected in the amazon forest. For this, 93 samples were used and the results showed three distinct levels of oil in the samples: high, medium and low oil content. Furthermore, the determination coefficient (R2 ) reached values of 0.92, 0.92 and 0.70 for NIR, TD-NMR (ROSE) and TD-NMR (CPMG), respectively. Therefore, the NIR and TD-NMR (ROSE) methods demonstrate a higher prediction efficiency, with the NIR achieving 100% classification of the samples
653 $aAmazonian fruit
653 $aNIR
653 $aOil content
653 $aTD-RMN
700 1 $aCAMPOS, N. A.
700 1 $aBICCA, G. B.
700 1 $aSORA, G. T. S.
700 1 $aPOLESI, L. F.
700 1 $aALBERTE, T. M.
700 1 $aSANTOS, P. M.
700 1 $aGARCIA, R. H. S.
700 1 $aCOLNAGO, L. A.
700 1 $aOLIVEIRA-FOLADOR. G.
773 $tFood Science and Technology$gv. 43, e112322, 2023.
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