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Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
09/05/2024 |
Data da última atualização: |
09/05/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
CORREIA, B. S. B.; ARRUDA, H. F.; SPRICIGO, P. C.; CERIBELI, C.; ALMEIDA, L. S.; CARDOSO, D. R.; JACOMINO, A. P.; COSTA, L. F.; COLNAGO, L. A. |
Afiliação: |
UNIVERSITY OF SAO PAULO; UNIVERSITY OF SAO PAULO; UNIVERSITY OF SAO PAULO; UNIVERSITY OF SAO PAULO; UNIVERSITY OF SAO PAULO; UNIVERSITY OF SAO PAULO; UNIVERSITY OF SAO PAULO; UNIVERSITY OF SAO PAULO; LUIZ ALBERTO COLNAGO, CNPDIA. |
Título: |
Emerging studies of NMR-based metabolomics of fruits regarding botanic family species associated with postharvest quality. |
Ano de publicação: |
2024 |
Fonte/Imprenta: |
Journal of Food Composition and Analysis, v. 130, 106136, 2024. |
Páginas: |
13 p. |
ISSN: |
0889-1575 |
DOI: |
https://doi.org/10.1016/j.jfca.2024.106136 |
Idioma: |
Inglês |
Conteúdo: |
ABSTRACT Fruit metabolic profiles indicate ripening stage, cultivar, phenotyping, and abiotic and biotic injuries, therefore constituting fruit quality parameters that are particularly important for the food industry. NMR-Metabolomics has been a powerful tool for studying metabolites and their biological processes. The fruit metabolic profile has been determined using NMR by several research groups worldwide. The present work aimed at compiling and organising the scientific literature on the metabolomics of fruits analysed by NMR, focusing on the botanic families. The scientific records related to the metabolomics of fruits were obtained from the Microsoft academic graph. Additionally, network science tools of clustering and topic modelling were used to analyse these data and identify the subjects of the papers. The results indicated that the most common botanic family studied is the Rosaceae family, which are the main commercial European fruits. By studying the scientific literature, it was possible to observe relationships among the taxonomy of fruits, their chemical compounds, and the scientific literature. |
Palavras-Chave: |
Botanic family; NMR; Postharvest. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01999naa a2200289 a 4500 001 2164151 005 2024-05-09 008 2024 bl uuuu u00u1 u #d 022 $a0889-1575 024 7 $ahttps://doi.org/10.1016/j.jfca.2024.106136$2DOI 100 1 $aCORREIA, B. S. B. 245 $aEmerging studies of NMR-based metabolomics of fruits regarding botanic family species associated with postharvest quality.$h[electronic resource] 260 $c2024 300 $a13 p. 520 $aABSTRACT Fruit metabolic profiles indicate ripening stage, cultivar, phenotyping, and abiotic and biotic injuries, therefore constituting fruit quality parameters that are particularly important for the food industry. NMR-Metabolomics has been a powerful tool for studying metabolites and their biological processes. The fruit metabolic profile has been determined using NMR by several research groups worldwide. The present work aimed at compiling and organising the scientific literature on the metabolomics of fruits analysed by NMR, focusing on the botanic families. The scientific records related to the metabolomics of fruits were obtained from the Microsoft academic graph. Additionally, network science tools of clustering and topic modelling were used to analyse these data and identify the subjects of the papers. The results indicated that the most common botanic family studied is the Rosaceae family, which are the main commercial European fruits. By studying the scientific literature, it was possible to observe relationships among the taxonomy of fruits, their chemical compounds, and the scientific literature. 653 $aBotanic family 653 $aNMR 653 $aPostharvest 700 1 $aARRUDA, H. F. 700 1 $aSPRICIGO, P. C. 700 1 $aCERIBELI, C. 700 1 $aALMEIDA, L. S. 700 1 $aCARDOSO, D. R. 700 1 $aJACOMINO, A. P. 700 1 $aCOSTA, L. F. 700 1 $aCOLNAGO, L. A. 773 $tJournal of Food Composition and Analysis$gv. 130, 106136, 2024.
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Registro Completo
Biblioteca(s): |
Embrapa Soja. |
Data corrente: |
06/12/2010 |
Data da última atualização: |
07/12/2010 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
GALÃO, O. F.; BORSATO, D.; PINTO, J. P.; PINA, MARCOS V. R.; VISENTAINER, J. V.; PANIZZI, M. C.; LEITE, R. S. |
Afiliação: |
OLÍVIO F. GALÃO, UEL; DIONÍSIO BORSATO, UEL; JURANDIR P. PINTO, UEL; MARCOS V. R. PINA, UEL; JESUI V. VISENTAINER, UEM; MERCEDES CONCORDIA CARRAO PANIZZI (CARRÃO-PANIZZI, M. C. C.), CNPSO; RODRIGO SANTOS LEITE, CNPSO. |
Título: |
Aplicação de redes neurais artificiais na classificação e identificação de cultivares de soja por região de plantio. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE QUÍMICA, 33., 2010, Águas de Lindóia. A química construindo um futuro melhor. [São Paulo]: SBQ, 2010. Ref. BEA-014. 1 CD-ROM. |
Idioma: |
Português |
Palavras-Chave: |
Soja transgênica. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/23865/1/T0164-2.pdf
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Marc: |
LEADER 00712nam a2200181 a 4500 001 1868740 005 2010-12-07 008 2010 bl uuuu u00u1 u #d 100 1 $aGALÃO, O. F. 245 $aAplicação de redes neurais artificiais na classificação e identificação de cultivares de soja por região de plantio. 260 $aIn: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE QUÍMICA, 33., 2010, Águas de Lindóia. A química construindo um futuro melhor. [São Paulo]: SBQ, 2010. Ref. BEA-014. 1 CD-ROM.$c2010 653 $aSoja transgênica 700 1 $aBORSATO, D. 700 1 $aPINTO, J. P. 700 1 $aPINA, MARCOS V. R. 700 1 $aVISENTAINER, J. V. 700 1 $aPANIZZI, M. C. 700 1 $aLEITE, R. S.
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