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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Agroindústria de Alimentos; Embrapa Amazônia Ocidental; Embrapa Florestas; Embrapa Meio Ambiente; Embrapa Recursos Genéticos e Biotecnologia; Embrapa Unidades Centrais; Embrapa Uva e Vinho. |
Data corrente: |
22/02/2021 |
Data da última atualização: |
28/09/2021 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
LOPES, D. B.; OLIVEIRA, Y. M. M. de; SAMPAIO, M. J. A. M.; FOGACA, F. H. dos S.; MELLO, L. M. R. de; FREITAS, M. H. A. de; MELO, P. E. de; COSTA, J. R. da; COSTA, P. da; MOZZER, G. B.; DIAS, T. A. B.; COSTA, J. L. da S.; ARZABE, C.; SANTOS, A. C. C. dos; HAMMES, V. S.; PIEROZZI JUNIOR, I. |
Afiliação: |
DANIELA BIAGGIONI LOPES, SIRE; YEDA MARIA MALHEIROS DE OLIVEIRA, CNPF; MARIA JOSE AMSTALDEN M SAMPAIO, SIRE; FABIOLA HELENA DOS SANTOS FOGACA, CTAA; LOIVA MARIA RIBEIRO DE MELLO, CNPUV; MARCELO HENRIQUE AGUIAR DE FREITAS, SIRE; PAULO EDUARDO DE MELO, SIRE; JOANNE REGIS DA COSTA, CPAA; PATRICIA DA COSTA, CNPMA; GUSTAVO BARBOSA MOZZER, SIRE; TEREZINHA APARECIDA BORGES DIAS, Cenargen; JEFFERSON LUIS DA SILVA COSTA, SIRE; CRISTINA ARZABE, SIRE; ANDRE CARLOS CAU DOS SANTOS, CNPUV; VALERIA SUCENA HAMMES, SIRE; IVO PIEROZZI JUNIOR, CNPTIA. |
Título: |
Challenges and opportunities for Embrapa. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
In: HAMMES, V. S.; LOPES, D. B.; SANTOS, A. C. C. dos; COSTA, J. R. da; OLIVEIRA, Y. M. M. de (Ed.). Agricultural research and innovation in the 2030 Agenda: contributions of Embrapa and partners. Brasília, DF: Embrapa, 2021. Cap. 3. p. 45-55. (Sustainable development goals, 18). |
Idioma: |
Inglês |
Conteúdo: |
The last chapter of each book in the collection presents the perspectives, opportunities and technological challenges posed by each SDG. The analysis of these technological challenges and the set of existing contributions per dimension also highlights the institutional challenges that Embrapa and similar institutions need to address by 2030. |
Palavras-Chave: |
Embrapa; Pesquisa e inovação; Política pública; Research and innovation; Solução de tecnologia; Technological solutions. |
Thesagro: |
Desenvolvimento Sustentável; Pesquisa Agrícola. |
Thesaurus Nal: |
Public policy; Sustainable development. |
Categoria do assunto: |
-- X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/222816/1/Challenges-and-opportunities-for-Embrapa.pdf
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Marc: |
LEADER 01780naa a2200421 a 4500 001 2131468 005 2021-09-28 008 2021 bl uuuu u00u1 u #d 100 1 $aLOPES, D. B. 245 $aChallenges and opportunities for Embrapa.$h[electronic resource] 260 $c2021 520 $aThe last chapter of each book in the collection presents the perspectives, opportunities and technological challenges posed by each SDG. The analysis of these technological challenges and the set of existing contributions per dimension also highlights the institutional challenges that Embrapa and similar institutions need to address by 2030. 650 $aPublic policy 650 $aSustainable development 650 $aDesenvolvimento Sustentável 650 $aPesquisa Agrícola 653 $aEmbrapa 653 $aPesquisa e inovação 653 $aPolítica pública 653 $aResearch and innovation 653 $aSolução de tecnologia 653 $aTechnological solutions 700 1 $aOLIVEIRA, Y. M. M. de 700 1 $aSAMPAIO, M. J. A. M. 700 1 $aFOGACA, F. H. dos S. 700 1 $aMELLO, L. M. R. de 700 1 $aFREITAS, M. H. A. de 700 1 $aMELO, P. E. de 700 1 $aCOSTA, J. R. da 700 1 $aCOSTA, P. da 700 1 $aMOZZER, G. B. 700 1 $aDIAS, T. A. B. 700 1 $aCOSTA, J. L. da S. 700 1 $aARZABE, C. 700 1 $aSANTOS, A. C. C. dos 700 1 $aHAMMES, V. S. 700 1 $aPIEROZZI JUNIOR, I. 773 $tIn: HAMMES, V. S.; LOPES, D. B.; SANTOS, A. C. C. dos; COSTA, J. R. da; OLIVEIRA, Y. M. M. de (Ed.). Agricultural research and innovation in the 2030 Agenda: contributions of Embrapa and partners. Brasília, DF: Embrapa, 2021. Cap. 3. p. 45-55. (Sustainable development goals, 18).
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
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Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
19/01/2017 |
Data da última atualização: |
31/01/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
C - 0 |
Autoria: |
MALEGORI, C.; GRASSI, S.; MARQUES, E. J. N.; FREITAS, S. T. de; CASIRAGHI, E. |
Afiliação: |
CRISTINA MALEGORI, DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy; SILVIA GRASSI, DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy; EMANUEL JOSÉ NASCIMENTO MARQUES, UFPE; SERGIO TONETTO DE FREITAS, CPATSA; ERNESTINA CASIRAGHI, DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy. |
Título: |
Vitamin C distribution in acerola fruit by near infrared hyperspectral imaging. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Journal of Spectral Imaging, v. 5/6, p. 1-4, dec. 2016. |
Idioma: |
Francês |
Conteúdo: |
The study aims at developing a methodology for qualitative mapping of nutraceutical compounds in fruit by near infrared hyperspectral imaging (NIR-HSI), focusing on vitamin C mapping in acerola (Malpighia emarginata D.C.), a Brazilian super-fruit characterised by its high content of ascorbic acid. Despite the fact that the spectral approach has often been applied to agricultural crops, research on acerola is very limited. So far, it is known that ascorbic acid decreases in acerola during ripening, but there is no information about its distribution in the fruit from green to red ripe maturity stages. Towards this aim, hyperspectral images of ten sliced acerola, picked at three maturity stages, were acquired using a SisuChema NIR-HSI system. On the pre-processed images, combined in a omprehensive matrix, principal component analysis was computed to select relevant components for classical least square (CLS) regression. CLS allowed distribution maps of ascorbic acid to be obtained (non-negativity, LOF = 1.9%), using, as reference spectra, acerola juices enriched with 0% and 5% of vitamin C powder. The pixels correlated with 5%-enriched juice showed a reduction from 29% to 6.5% according to colour changes, confirming a vitamin C decrease along the ripening stages. These results demonstrated the reliability of NIR-HSI for the evaluation of vitamin C distribution inside the different acerola areas. The presented approach presents the basis for qualitative mapping of nutraceutical compounds in fruits. MenosThe study aims at developing a methodology for qualitative mapping of nutraceutical compounds in fruit by near infrared hyperspectral imaging (NIR-HSI), focusing on vitamin C mapping in acerola (Malpighia emarginata D.C.), a Brazilian super-fruit characterised by its high content of ascorbic acid. Despite the fact that the spectral approach has often been applied to agricultural crops, research on acerola is very limited. So far, it is known that ascorbic acid decreases in acerola during ripening, but there is no information about its distribution in the fruit from green to red ripe maturity stages. Towards this aim, hyperspectral images of ten sliced acerola, picked at three maturity stages, were acquired using a SisuChema NIR-HSI system. On the pre-processed images, combined in a omprehensive matrix, principal component analysis was computed to select relevant components for classical least square (CLS) regression. CLS allowed distribution maps of ascorbic acid to be obtained (non-negativity, LOF = 1.9%), using, as reference spectra, acerola juices enriched with 0% and 5% of vitamin C powder. The pixels correlated with 5%-enriched juice showed a reduction from 29% to 6.5% according to colour changes, confirming a vitamin C decrease along the ripening stages. These results demonstrated the reliability of NIR-HSI for the evaluation of vitamin C distribution inside the different acerola areas. The presented approach presents the basis for qualitative mapping of nutraceutical ... Mostrar Tudo |
Palavras-Chave: |
Classical least square; Hiperespectral do infravermelho; Imagem hiperspectral no infravermelho próximo (NIR-HSI); Near infrared hyperspectral imaging; Quadrante mínimo clássico (CLS). |
Thesagro: |
Acerola; Vitamina C. |
Thesaurus NAL: |
Malpighia emarginata. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/153556/1/Sergio-2016.pdf
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Marc: |
LEADER 02374naa a2200265 a 4500 001 2061202 005 2017-01-31 008 2016 bl uuuu u00u1 u #d 100 1 $aMALEGORI, C. 245 $aVitamin C distribution in acerola fruit by near infrared hyperspectral imaging.$h[electronic resource] 260 $c2016 520 $aThe study aims at developing a methodology for qualitative mapping of nutraceutical compounds in fruit by near infrared hyperspectral imaging (NIR-HSI), focusing on vitamin C mapping in acerola (Malpighia emarginata D.C.), a Brazilian super-fruit characterised by its high content of ascorbic acid. Despite the fact that the spectral approach has often been applied to agricultural crops, research on acerola is very limited. So far, it is known that ascorbic acid decreases in acerola during ripening, but there is no information about its distribution in the fruit from green to red ripe maturity stages. Towards this aim, hyperspectral images of ten sliced acerola, picked at three maturity stages, were acquired using a SisuChema NIR-HSI system. On the pre-processed images, combined in a omprehensive matrix, principal component analysis was computed to select relevant components for classical least square (CLS) regression. CLS allowed distribution maps of ascorbic acid to be obtained (non-negativity, LOF = 1.9%), using, as reference spectra, acerola juices enriched with 0% and 5% of vitamin C powder. The pixels correlated with 5%-enriched juice showed a reduction from 29% to 6.5% according to colour changes, confirming a vitamin C decrease along the ripening stages. These results demonstrated the reliability of NIR-HSI for the evaluation of vitamin C distribution inside the different acerola areas. The presented approach presents the basis for qualitative mapping of nutraceutical compounds in fruits. 650 $aMalpighia emarginata 650 $aAcerola 650 $aVitamina C 653 $aClassical least square 653 $aHiperespectral do infravermelho 653 $aImagem hiperspectral no infravermelho próximo (NIR-HSI) 653 $aNear infrared hyperspectral imaging 653 $aQuadrante mínimo clássico (CLS) 700 1 $aGRASSI, S. 700 1 $aMARQUES, E. J. N. 700 1 $aFREITAS, S. T. de 700 1 $aCASIRAGHI, E. 773 $tJournal of Spectral Imaging$gv. 5/6, p. 1-4, dec. 2016.
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Embrapa Semiárido (CPATSA) |
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