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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
27/10/2021 |
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Data da última atualização: |
03/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MARTINS, G. R.; GUEDES, D.; PAULA, U. L. M. de; OLIVEIRA, M. do S. P. de; LUTTERBACH, M. T. S.; REZNIK, L. Y.; SÉRVULO, E. F. C.; ALVIANO, C. S.; SILVA, A. J. R. da; ALVIANO, D. S. |
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Afiliação: |
GABRIEL ROCHA MARTINS, Instituto de Pesquisas de Produtos Naturais, Centro de Ciências da Saúde, UFRJ; DOUGLAS GUEDES, Escola de Química, Centro de Tecnologia, UFRJ; URBANO LUIZ MARQUES DE PAULA, Instituto de Pesquisas de Produtos Naturais, Centro de Ciências da Saúde, UFRJ; MARIA DO SOCORRO P DE OLIVEIRA, CPATU; MARCIA TERESA SOARES LUTTERBACH, Instituto Nacional de Tecnologia, Divisão de Degradação e Corrosão; LEILA YONE REZNIK, Escola de Química, Centro de Tecnologia, UFRJ; ELIANA FLÁVIA CAMPORESE SÉRVULO, Escola de Química, Centro de Tecnologia,UFRJ; CELUTA SALES ALVIANO, Instituto de Microbiologia Paulo de Góes, Centro de Ciências da Saúde, UFRJ; ANTONIO JORGE RIBEIRO DA SILVA, Instituto de Pesquisas de Produtos Naturais, Centro de Ciências da Saúde, UFRJ; DANIELA SALES ALVIANO, Instituto de Microbiologia Paulo de Góes, Bloco I, Centro de Ciências da Saúde, UFRJ. |
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Título: |
Açaí (Euterpe oleracea Mart.) seed extracts from different varieties: a source of proanthocyanidins and eco-friendly corrosion inhibition activity. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Molecules, v. 26, 3433, 2021. |
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Idioma: |
Inglês |
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Conteúdo: |
Euterpe oleracea Mart. (Arecaceae) is an endogenous palm tree from the Amazon region. Its seeds correspond to 85% of the fruit’s weight, a primary solid residue generated from pulp production, the accumulation of which represents a potential source of pollution and environmental problems. As such, this work aimed to quantify and determine the phytochemical composition of E. oleracea Mart. seeds from purple, white, and BRS-Paráaçaívarieties using established analytical methods and also to evaluate it as an eco-friendly corrosion inhibitor. The proanthocyanidin quantification (n-butanol/hydrochloric acid assay) between varieties was 6.4–22.4 (w/w)/dry matter. Extract characterization showed that all varieties are composed of B-type procyanidin with a high mean degree of polymerization (mDP ≥10) by different analytical methodologies to ensure the results. The purple açaíextract, which presented 22.4% (w/w) proanthocyanidins/dry matter, was tested against corrosion of carbon steel AISI 1020 in neutral pH. The crude extract (1.0 g/L) was effective in controlling corrosion on the metal surface for 24 h. Our results demonstrated that the extracts rich in polymeric procyanidins obtained from industrial açaíwaste could be used to inhibit carbon steel AISI 1020 in neutral pH as an abundant, inexpensive, and green source of corrosion inhibit |
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Palavras-Chave: |
Açaí branco; BRS-Pará. |
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Thesagro: |
Açaí; Espectrometria; Euterpe Oleracea; Resíduo Orgânico; Semente. |
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Thesaurus Nal: |
Mass spectrometry; Seeds. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 02351naa a2200337 a 4500
001 2135626
005 2021-11-03
008 2021 bl uuuu u00u1 u #d
100 1 $aMARTINS, G. R.
245 $aAçaí (Euterpe oleracea Mart.) seed extracts from different varieties$ba source of proanthocyanidins and eco-friendly corrosion inhibition activity.$h[electronic resource]
260 $c2021
520 $aEuterpe oleracea Mart. (Arecaceae) is an endogenous palm tree from the Amazon region. Its seeds correspond to 85% of the fruit’s weight, a primary solid residue generated from pulp production, the accumulation of which represents a potential source of pollution and environmental problems. As such, this work aimed to quantify and determine the phytochemical composition of E. oleracea Mart. seeds from purple, white, and BRS-Paráaçaívarieties using established analytical methods and also to evaluate it as an eco-friendly corrosion inhibitor. The proanthocyanidin quantification (n-butanol/hydrochloric acid assay) between varieties was 6.4–22.4 (w/w)/dry matter. Extract characterization showed that all varieties are composed of B-type procyanidin with a high mean degree of polymerization (mDP ≥10) by different analytical methodologies to ensure the results. The purple açaíextract, which presented 22.4% (w/w) proanthocyanidins/dry matter, was tested against corrosion of carbon steel AISI 1020 in neutral pH. The crude extract (1.0 g/L) was effective in controlling corrosion on the metal surface for 24 h. Our results demonstrated that the extracts rich in polymeric procyanidins obtained from industrial açaíwaste could be used to inhibit carbon steel AISI 1020 in neutral pH as an abundant, inexpensive, and green source of corrosion inhibit
650 $aMass spectrometry
650 $aSeeds
650 $aAçaí
650 $aEspectrometria
650 $aEuterpe Oleracea
650 $aResíduo Orgânico
650 $aSemente
653 $aAçaí branco
653 $aBRS-Pará
700 1 $aGUEDES, D.
700 1 $aPAULA, U. L. M. de
700 1 $aOLIVEIRA, M. do S. P. de
700 1 $aLUTTERBACH, M. T. S.
700 1 $aREZNIK, L. Y.
700 1 $aSÉRVULO, E. F. C.
700 1 $aALVIANO, C. S.
700 1 $aSILVA, A. J. R. da
700 1 $aALVIANO, D. S.
773 $tMolecules$gv. 26, 3433, 2021.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
14/12/2020 |
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Data da última atualização: |
14/12/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
ARAI, E.; SANO, E. E.; DUTRA. A. C.; CASSOL, H. L. G.; HOFFMANN, T. B.; SHIMABUKURO, Y. E. |
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Afiliação: |
EDSON EYJI SANO, CPAC. |
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Título: |
Vegetation Fraction Images Derived from PROBA-V Data for Rapid Assessment of Annual Croplands in Brazil. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Remote Sensing, v. 12, n. 7, 2020. |
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ISSN: |
2072-4292 |
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Idioma: |
Português |
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Conteúdo: |
Abstract: This paper presents a new method for rapid assessment of the extent of annual croplands in Brazil. The proposed method applies a linear spectral mixing model (LSMM) to PROBA-V time series images to derive vegetation, soil, and shade fraction images for regional analysis. We used S10-TOC (10 days synthesis, 1 km spatial resolution, and top-of-canopy) products for Brazil and S5-TOC (five days synthesis, 100 m spatial resolution, and top-of-canopy) products for Mato Grosso State (Brazilian Legal Amazon). Using the time series of the vegetation fraction images of the whole year (2015 in this case), only one mosaic composed with maximum values of vegetation fraction was generated, allowing detecting and mapping semi-automatically the areas occupied by annual crops during the year. The results (100 m spatial resolution map) for the Mato Grosso State were compared with existing global datasets (Finer Resolution Observation and Monitoring?Global Land Cover (FROM-GLC) and Global Food Security?Support Analyses Data (GFSAD30)). Visually those maps present a good agreement, but the area estimated are not comparable since the agricultural class definition are different for those maps. In addition, we found 11.8 million ha of agricultural areas in the entire Brazilian territory. The area estimation for the Mato Grosso State was 3.4 million ha for 1 km dataset and 5.3 million ha for 100 m dataset. This difference is due to the spatial resolution of the PROBA-V datasets used. A coefficient of determination of 0.82 was found between PROBA-V 100 m and Landsat-8 OLI area estimations for the Mato Grosso State. Therefore, the proposed method is suitable for detecting and mapping annual croplands distribution operationally using PROBA-V datasets for regional analysis. MenosAbstract: This paper presents a new method for rapid assessment of the extent of annual croplands in Brazil. The proposed method applies a linear spectral mixing model (LSMM) to PROBA-V time series images to derive vegetation, soil, and shade fraction images for regional analysis. We used S10-TOC (10 days synthesis, 1 km spatial resolution, and top-of-canopy) products for Brazil and S5-TOC (five days synthesis, 100 m spatial resolution, and top-of-canopy) products for Mato Grosso State (Brazilian Legal Amazon). Using the time series of the vegetation fraction images of the whole year (2015 in this case), only one mosaic composed with maximum values of vegetation fraction was generated, allowing detecting and mapping semi-automatically the areas occupied by annual crops during the year. The results (100 m spatial resolution map) for the Mato Grosso State were compared with existing global datasets (Finer Resolution Observation and Monitoring?Global Land Cover (FROM-GLC) and Global Food Security?Support Analyses Data (GFSAD30)). Visually those maps present a good agreement, but the area estimated are not comparable since the agricultural class definition are different for those maps. In addition, we found 11.8 million ha of agricultural areas in the entire Brazilian territory. The area estimation for the Mato Grosso State was 3.4 million ha for 1 km dataset and 5.3 million ha for 100 m dataset. This difference is due to the spatial resolution of the PROBA-V datasets used. A co... Mostrar Tudo |
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Palavras-Chave: |
Fração máxima; Mapeamento de terras agrícolas; Mato Grosso. |
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Thesagro: |
Cerrado; Sensoriamento Remoto. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/219147/1/SANO-VEGETATION-FRACTION-IMAGES-DERIVED.pdf
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Marc: |
LEADER 02519naa a2200253 a 4500
001 2128068
005 2020-12-14
008 2020 bl uuuu u00u1 u #d
022 $a2072-4292
100 1 $aARAI, E.
245 $aVegetation Fraction Images Derived from PROBA-V Data for Rapid Assessment of Annual Croplands in Brazil.$h[electronic resource]
260 $c2020
520 $aAbstract: This paper presents a new method for rapid assessment of the extent of annual croplands in Brazil. The proposed method applies a linear spectral mixing model (LSMM) to PROBA-V time series images to derive vegetation, soil, and shade fraction images for regional analysis. We used S10-TOC (10 days synthesis, 1 km spatial resolution, and top-of-canopy) products for Brazil and S5-TOC (five days synthesis, 100 m spatial resolution, and top-of-canopy) products for Mato Grosso State (Brazilian Legal Amazon). Using the time series of the vegetation fraction images of the whole year (2015 in this case), only one mosaic composed with maximum values of vegetation fraction was generated, allowing detecting and mapping semi-automatically the areas occupied by annual crops during the year. The results (100 m spatial resolution map) for the Mato Grosso State were compared with existing global datasets (Finer Resolution Observation and Monitoring?Global Land Cover (FROM-GLC) and Global Food Security?Support Analyses Data (GFSAD30)). Visually those maps present a good agreement, but the area estimated are not comparable since the agricultural class definition are different for those maps. In addition, we found 11.8 million ha of agricultural areas in the entire Brazilian territory. The area estimation for the Mato Grosso State was 3.4 million ha for 1 km dataset and 5.3 million ha for 100 m dataset. This difference is due to the spatial resolution of the PROBA-V datasets used. A coefficient of determination of 0.82 was found between PROBA-V 100 m and Landsat-8 OLI area estimations for the Mato Grosso State. Therefore, the proposed method is suitable for detecting and mapping annual croplands distribution operationally using PROBA-V datasets for regional analysis.
650 $aCerrado
650 $aSensoriamento Remoto
653 $aFração máxima
653 $aMapeamento de terras agrícolas
653 $aMato Grosso
700 1 $aSANO, E. E.
700 1 $aDUTRA. A. C.
700 1 $aCASSOL, H. L. G.
700 1 $aHOFFMANN, T. B.
700 1 $aSHIMABUKURO, Y. E.
773 $tRemote Sensing$gv. 12, n. 7, 2020.
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