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| Registros recuperados : 14 | |
| 4. |  | MARINI, F. S.; VILLA, E. B.; FEIDEN, A.; BARROSO, D. G. Diagnóstico participativo em comunidades do norte fluminense - enfoque florestal. In: CONGRESSO BRASILEIRO DE AGROECOLOGIA, 3., SEMINÁRIO ESTADUAL DE AGROECOLOGIA, 3., 2005, Florianópolis. A sociedade construindo conhecimentos para a vida. anais... Florianópolis: Associação Brasileira de Agroecologia, 2005. 4 p. CD ROM. Editores: L. Carlos Pinheiro Machado Filho, Pedro Boff.
Participatory appraisal in communities of the north of Rio de Janeiro - Forestry focus.| Biblioteca(s): Embrapa Agrobiologia. |
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| 6. | | MARINI, F. S.; SOUSA, M. F. de; MOREIRA, J. M.; SANTOS, J. B.; PEREIRA, D. F. Transição Agroecológica: A Experiência da Família de Seu Caboclinho no Território da Borborema – PB. In: CONGRESSO BRASILEIRO DE AGROECOLOGIA, 6., CONGRESSO LATINO AMERICANO DE AGROECOLOGIA, 2., 2009, Curitiba. Agricultura familiar e camponesa experiências passadas e presentes construindo um futuro sustentável: anais. Curitiba: ABA, SOCLA, 2009. 1 CD-ROM. AGROECOLOGIA 2009.| Biblioteca(s): Embrapa Algodão. |
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| 8. | | MARINI, F. S.; FRANCO, F. S.; MARTINEZ, H. E. P.; COUTO, L.; NEVES, Y. P.; TROVATTO, C. M. M. Avaliacao preliminar de cafe em sistema agroflorestal na Zona da Mata de Minas Gerais. In: CONGRESSO BRASILEIRO EM SISTEMAS AGROFLORESTAIS, 2., 1998, Belem. Sistemas Agroflorestais no Contexto da Qualidade Ambiental e Competitividade: resumos expandidos. Belem: Embrapa-CPATU, 1998. p.54-56.| Biblioteca(s): Embrapa Florestas. |
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| 9. | | MARINI, F. S.; FRANCO, F. S.; MARTINEZ, H. E. P.; COUTO, L. NEVES, Y. P.; TROVATTO, C. M. M. Comportamento inicial de um sistema agroflorestal com café na Zona da Mata de Minas Gerais. In: INTERNATIONAL CONGRESS AND EXHIBITION ON FOREST, 5., 1999, Curitiba. Forest 99: [resumos]. Rio de Janeiro: BIOSFERA, 1999. 1 CD-ROM. Autoria bilíngue: CONGRESSO E EXPOSICAO INTERNACIONAL SOBRE FLORESTAS, 5., 1999, Curitiba.| Biblioteca(s): Embrapa Florestas. |
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| 10. | | SILVA, M. J. R. da; BARBOSA, L. de O.; NASCIMENTO, S. D. do; MARINI, F. S.; SANTOS, A. da S. dos. Diálogo de saberes na implantação do campo de multiplicação e produção de sementes crioulas para a agricultura familiar. In: CONGRESSO CEARENSE DA AGROENERGIA, 2., 2010, Juazeiro do Norte. agroecologia rumo ao desenvolvimento sustentável. Anais... Juazeiro do Norte, CE: UFC, 2010, 2010. Artigo em anais.| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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| 11. | | MARINI, F. S.; SILVA, E. D. da; SANTOS, A. da S. dos; SILVA, M. J. R. da; BARBOSA, L. de O.; LIMA, R. de. Programa de rescate, selección y almacenamiento de semillas nativas para el mantenimiento de la biodiversidad agrícola en el estado de Paraíba. In: CONGRESO LATINOAMERICANO DE AGROECOLOGÍA, 4., 2013, Lima. Potenciación agroecológica de la pequeña agricultura para la soberanía alimentaria y la resiliencia frente al cambio climático y la crisis económica. Lima: SOCLA, 2013. p. 19. Resumos.| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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| 12. | | VILLA, E. B.; CAMPOLIN, A. I.; FEIDEN, A.; OLIVEIRA NETO, S. N. de; MARINI, F. S.; LELES, P. S. dos S.; TEIXEIRA, M. B.; FONSECA, F. de A. Percepção dos agricultores familiares periurbanos de três municípios da baixada fluminense em relação aos recursos florestais. In: CONGRESSO BRASILEIRO DE AGROECOLOGIA, 4., 2006, Belo Horizonte. Construindo horizontes sustentáveis: anais. Belo Horizonte: Emater-MG, 2006. 1 CD-ROM. Não paginado.| Biblioteca(s): Embrapa Pantanal. |
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| 13. | | SANTOS, A. da S. dos; SILVA, E. D.; MARINI, F. S.; SILVA, M. J. R.; FRANCISCO, P. S.; VIEIRA, T. T.; CURADO, F. F. Rede de bancos de sementes comunitários como estratégia para conservação da agrobiodiversidade no Estado da Paraíba. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 2., 2012. Anais. Belém, PA. 2012.| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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| 14. | | BAQUETA, M. R.; VALDERRAMA, P.; MANDRONE, M.; POLI, F.; COQUEIRO, A.; COSTA-SANTOS, A. C.; REBELLATO. A. A.; LUZ, G. M.; ROCHA, R. B.; PALLONE, J. A. L.; MARINI, F. H NMR, FAAS, portable NIR, benchtop NIR, and ATR-FTIR-MIR spectroscopies for characterizing and discriminating new Brazilian Canephora coffees in a multi-block analysis perspective. Chemometrics and Intelligent Laboratory Systems, v. 240, 2023.| Biblioteca(s): Embrapa Rondônia. |
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| Registros recuperados : 14 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Rondônia. |
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Data corrente: |
24/04/2024 |
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Data da última atualização: |
30/04/2024 |
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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: |
BAQUETA, M. R.; VALDERRAMA, P.; MANDRONE, M.; POLI, F.; COQUEIRO, A.; COSTA-SANTOS, A. C.; REBELLATO. A. A.; LUZ, G. M.; ROCHA, R. B.; PALLONE, J. A. L.; MARINI, F. |
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Afiliação: |
MICHEL ROCHA BAQUETA, UNIVERSIDADE DE CAMPINAS; PATRÍCIA VALDERRAMA UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; MANUELA MANDRONE, UNIVERSITY OF BOLOGNA; FERRUCCIO POLI UNIVERSITY OF BOLOGNA, UNIVERSITY OF BOLOGNA; ALINE COQUEIRO, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; AUGUSTO CESAR COSTA-SANTOS, UNIVERSIDADE ESTADUAL DE CAMPINAS; ANA PAULA REBELLATO, UNIVERSIDADE ESTADUAL DE CAMPINAS; GISELE MARCONDES LUZ, UNIVERSIDADE ESTADUAL DE CAMPINAS; RODRIGO BARROS ROCHA, CPAF-RO; JULIANA AZEVEDO LIMA PALLONE, UNIVERSIDADE ESTADUAL DE CAMPINAS; FEDERICO MARINI, UNIVERSITY OF ROME. |
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Título: |
H NMR, FAAS, portable NIR, benchtop NIR, and ATR-FTIR-MIR spectroscopies for characterizing and discriminating new Brazilian Canephora coffees in a multi-block analysis perspective. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Chemometrics and Intelligent Laboratory Systems, v. 240, 2023. |
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Idioma: |
Inglês |
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Conteúdo: |
Different analytical techniques, mixing single and multi-block chemometric analyses in supervised and unsu- pervised approaches, and the selection of variables in the coffee discrimination domain have been reported. Molecular and atomic spectroscopic techniques (1H NMR, portable NIR, benchtop NIR, ATR-FTIR-MIR, and FAAS) were used to characterize and discriminate Brazilian Canephora coffees of specific producers, including two with geographical indication, and also to differentiate them from the Arabica. The sample set comprised 100 Canephora samples of different geographical origins in Brazil (Conilon from Espírito Santo, Amazonian Robusta from indigenous and non-indigenous producers of Rondonia, and Conilon from Bahia) and Arabica coffee (25 samples). ComDim exploratory multi-block analysis was first used to evaluate the contributions of all the different data blocks that characterized the samples and determine the calibration and validation sets. Multi- block discrimination by the SO-PLS-LDA was then used to validate the feasibility of discrimination, and to identify the relevant analytical techniques. The discrimination based on all the blocks presented 100% correct discrimination on training, cross-validation, and test sets, and suggested that only a single block (benchtop NIR) is needed to achieve a perfect discrimination. PLS-DA was then applied to the data from portable NIR to evaluate whether comparable performances could be achieved; all test samples were correctly discriminated with the exception of two Robusta Amazonico from non-indigenous producers and two Conilon from Espírito Santo, indicating that very accurate results can be obtained also using a portable instrument. Finally, the use of CovSel- DA allowed the discrimination to be optimized on the most cost-effective analytical technique (portable NIR). CovSel-LDA models selected the best variables for benchtop and portable NIR, impacting positively portable NIR performance and suggesting that portable NIR could bring comparable or at least only slightly worse perfor- mance than benchtop NIR for discrimination. MenosDifferent analytical techniques, mixing single and multi-block chemometric analyses in supervised and unsu- pervised approaches, and the selection of variables in the coffee discrimination domain have been reported. Molecular and atomic spectroscopic techniques (1H NMR, portable NIR, benchtop NIR, ATR-FTIR-MIR, and FAAS) were used to characterize and discriminate Brazilian Canephora coffees of specific producers, including two with geographical indication, and also to differentiate them from the Arabica. The sample set comprised 100 Canephora samples of different geographical origins in Brazil (Conilon from Espírito Santo, Amazonian Robusta from indigenous and non-indigenous producers of Rondonia, and Conilon from Bahia) and Arabica coffee (25 samples). ComDim exploratory multi-block analysis was first used to evaluate the contributions of all the different data blocks that characterized the samples and determine the calibration and validation sets. Multi- block discrimination by the SO-PLS-LDA was then used to validate the feasibility of discrimination, and to identify the relevant analytical techniques. The discrimination based on all the blocks presented 100% correct discrimination on training, cross-validation, and test sets, and suggested that only a single block (benchtop NIR) is needed to achieve a perfect discrimination. PLS-DA was then applied to the data from portable NIR to evaluate whether comparable performances could be achieved; all test samples were correctly... Mostrar Tudo |
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Palavras-Chave: |
Coffee; Conilon; Data fusio; Fine Amazonian Robusta coffee; Multi-block. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1163879/1/2-Baqueta-Chemolab-2023-AINFO.pdf
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Marc: |
LEADER 03054naa a2200301 a 4500
001 2163879
005 2024-04-30
008 2023 bl uuuu u00u1 u #d
100 1 $aBAQUETA, M. R.
245 $aH NMR, FAAS, portable NIR, benchtop NIR, and ATR-FTIR-MIR spectroscopies for characterizing and discriminating new Brazilian Canephora coffees in a multi-block analysis perspective.$h[electronic resource]
260 $c2023
520 $aDifferent analytical techniques, mixing single and multi-block chemometric analyses in supervised and unsu- pervised approaches, and the selection of variables in the coffee discrimination domain have been reported. Molecular and atomic spectroscopic techniques (1H NMR, portable NIR, benchtop NIR, ATR-FTIR-MIR, and FAAS) were used to characterize and discriminate Brazilian Canephora coffees of specific producers, including two with geographical indication, and also to differentiate them from the Arabica. The sample set comprised 100 Canephora samples of different geographical origins in Brazil (Conilon from Espírito Santo, Amazonian Robusta from indigenous and non-indigenous producers of Rondonia, and Conilon from Bahia) and Arabica coffee (25 samples). ComDim exploratory multi-block analysis was first used to evaluate the contributions of all the different data blocks that characterized the samples and determine the calibration and validation sets. Multi- block discrimination by the SO-PLS-LDA was then used to validate the feasibility of discrimination, and to identify the relevant analytical techniques. The discrimination based on all the blocks presented 100% correct discrimination on training, cross-validation, and test sets, and suggested that only a single block (benchtop NIR) is needed to achieve a perfect discrimination. PLS-DA was then applied to the data from portable NIR to evaluate whether comparable performances could be achieved; all test samples were correctly discriminated with the exception of two Robusta Amazonico from non-indigenous producers and two Conilon from Espírito Santo, indicating that very accurate results can be obtained also using a portable instrument. Finally, the use of CovSel- DA allowed the discrimination to be optimized on the most cost-effective analytical technique (portable NIR). CovSel-LDA models selected the best variables for benchtop and portable NIR, impacting positively portable NIR performance and suggesting that portable NIR could bring comparable or at least only slightly worse perfor- mance than benchtop NIR for discrimination.
653 $aCoffee
653 $aConilon
653 $aData fusio
653 $aFine Amazonian Robusta coffee
653 $aMulti-block
700 1 $aVALDERRAMA, P.
700 1 $aMANDRONE, M.
700 1 $aPOLI, F.
700 1 $aCOQUEIRO, A.
700 1 $aCOSTA-SANTOS, A. C.
700 1 $aREBELLATO. A. A.
700 1 $aLUZ, G. M.
700 1 $aROCHA, R. B.
700 1 $aPALLONE, J. A. L.
700 1 $aMARINI, F.
773 $tChemometrics and Intelligent Laboratory Systems$gv. 240, 2023.
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