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 | Acesso ao texto completo restrito à biblioteca da Embrapa Clima Temperado. Para informações adicionais entre em contato com cpact.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Clima Temperado. |
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Data corrente: |
24/03/2020 |
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Data da última atualização: |
09/06/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
DUTRA, L. M.; SANTOS, A. D. da C.; LOURENÇO, A. V. F.; NAGATA, N.; HEIDEN, G.; CAMPOS, F. R.; BARISON, A. |
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Afiliação: |
LIVIA MACEDO DUTRA; ALAN DIEGO DA CONCEIÇÃO SANTOS; ALLAN VINICIUS FELIX LOURENÇO; NOEMI NAGATA; GUSTAVO HEIDEN, CPACT; FRANCINETE RAMOS CAMPOS; ANDERSSON BARISON. |
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Título: |
1H HR-MAS NMR and chemometric methods for discrimination and classification of Baccharis (Asteraceae): A proposal for quality control of Baccharis trimera. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Journal of Pharmaceutical and Biomedical Analysis, v. 184, 113200, 2020. |
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ISSN: |
0731-7085 |
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DOI: |
https://doi.org/10.1016/j.jpba.2020.113200 |
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Idioma: |
Inglês |
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Conteúdo: |
Baccharis trimera is a species recognized by health agencies and recommended by the Brazilian Pharmacopoeia by having medicinal properties. In this work, HR-MAS NMR spectroscopy combined with chemometric tools, such as Principal Components Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA) and Soft Independent Modeling by Class Analogy (SIMCA), were used to evaluate the quality control and authenticity of commercial samples of Baccharis, as well as to discriminate B. trimera samples from other species of the Caulopterae section (B. articulata, B. trimera, B. junciformis, B. milleflora, and B. myriocephala). The high morphological similarity of these species makes it difficult for their identifications and discriminations, even by taxonomists. Different PCA pre-processing (autoscaling, Pareto scaling, and mean centering) allowed to discriminate B. trimera and B. myriocephala from the other species, mainly due to the presence of carquejyl acetate, indicated their chemical similarity. The 1H HR-MAS NMR spectral profile offers the possibility of tracking not only the chemical markers, such as the presence of carquejyl acetate, which can also be helpful in the B. trimera authentication/identification. The application of classification methods in standard samples revealed that PLS-DA models showed better performance on the calibration and validation sets than SIMCA model. However, PLS-DA and SIMCA applied to commercial samples showed that none ofthe commercial samples were classified as B. trimera, which suggested the lack of strict quality control regarding these products. The methodology developed in the present work might contribute to chemotaxonomy of the genus Baccharis. MenosBaccharis trimera is a species recognized by health agencies and recommended by the Brazilian Pharmacopoeia by having medicinal properties. In this work, HR-MAS NMR spectroscopy combined with chemometric tools, such as Principal Components Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA) and Soft Independent Modeling by Class Analogy (SIMCA), were used to evaluate the quality control and authenticity of commercial samples of Baccharis, as well as to discriminate B. trimera samples from other species of the Caulopterae section (B. articulata, B. trimera, B. junciformis, B. milleflora, and B. myriocephala). The high morphological similarity of these species makes it difficult for their identifications and discriminations, even by taxonomists. Different PCA pre-processing (autoscaling, Pareto scaling, and mean centering) allowed to discriminate B. trimera and B. myriocephala from the other species, mainly due to the presence of carquejyl acetate, indicated their chemical similarity. The 1H HR-MAS NMR spectral profile offers the possibility of tracking not only the chemical markers, such as the presence of carquejyl acetate, which can also be helpful in the B. trimera authentication/identification. The application of classification methods in standard samples revealed that PLS-DA models showed better performance on the calibration and validation sets than SIMCA model. However, PLS-DA and SIMCA applied to commercial samples showed that none ofthe commercial sa... Mostrar Tudo |
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Palavras-Chave: |
Baccharis trimera; Caulopterae; Espectroscopia; Quimiotaxonomia. |
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Thesagro: |
Baccharis; Taxonomia. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02640naa a2200289 a 4500
001 2121354
005 2020-06-09
008 2020 bl uuuu u00u1 u #d
022 $a0731-7085
024 7 $ahttps://doi.org/10.1016/j.jpba.2020.113200$2DOI
100 1 $aDUTRA, L. M.
245 $a1H HR-MAS NMR and chemometric methods for discrimination and classification of Baccharis (Asteraceae)$bA proposal for quality control of Baccharis trimera.$h[electronic resource]
260 $c2020
520 $aBaccharis trimera is a species recognized by health agencies and recommended by the Brazilian Pharmacopoeia by having medicinal properties. In this work, HR-MAS NMR spectroscopy combined with chemometric tools, such as Principal Components Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA) and Soft Independent Modeling by Class Analogy (SIMCA), were used to evaluate the quality control and authenticity of commercial samples of Baccharis, as well as to discriminate B. trimera samples from other species of the Caulopterae section (B. articulata, B. trimera, B. junciformis, B. milleflora, and B. myriocephala). The high morphological similarity of these species makes it difficult for their identifications and discriminations, even by taxonomists. Different PCA pre-processing (autoscaling, Pareto scaling, and mean centering) allowed to discriminate B. trimera and B. myriocephala from the other species, mainly due to the presence of carquejyl acetate, indicated their chemical similarity. The 1H HR-MAS NMR spectral profile offers the possibility of tracking not only the chemical markers, such as the presence of carquejyl acetate, which can also be helpful in the B. trimera authentication/identification. The application of classification methods in standard samples revealed that PLS-DA models showed better performance on the calibration and validation sets than SIMCA model. However, PLS-DA and SIMCA applied to commercial samples showed that none ofthe commercial samples were classified as B. trimera, which suggested the lack of strict quality control regarding these products. The methodology developed in the present work might contribute to chemotaxonomy of the genus Baccharis.
650 $aBaccharis
650 $aTaxonomia
653 $aBaccharis trimera
653 $aCaulopterae
653 $aEspectroscopia
653 $aQuimiotaxonomia
700 1 $aSANTOS, A. D. da C.
700 1 $aLOURENÇO, A. V. F.
700 1 $aNAGATA, N.
700 1 $aHEIDEN, G.
700 1 $aCAMPOS, F. R.
700 1 $aBARISON, A.
773 $tJournal of Pharmaceutical and Biomedical Analysis$gv. 184, 113200, 2020.
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Registro original: |
Embrapa Clima Temperado (CPACT) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
12/01/2023 |
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Data da última atualização: |
12/01/2023 |
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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: |
ANDRADE, E. T. de; REZENDE, R. P.; BORÉM, F. M.; ROSA, S. D. V. F. da; RIOS, P. de A.; OLIVEIRA, F. da S. de. |
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Afiliação: |
EDNILTON TAVARES DE ANDRADE, UNIVERSIDADE FEDERAL DE LAVRAS; RENAN PEREIRA REZENDE, UNIVERSIDADE FEDERAL DE LAVRAS; FLÁVIO MEIRA BORÉM, UNIVERSIDADE FEDERAL DE LAVRAS; STTELA DELLYZETE VEIGA F DA ROSA, CNPCa; PAULA DE ALMEIDA RIOS, UNIVERSIDADE FEDERAL DE LAVRAS; FILIPE DA SILVA DE OLIVEIRA, UNIVERSIDADE FEDERAL DE LAVRAS. |
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Título: |
Evaluation of the behavior of coffee stored in cooled and natural environments. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Coffee Science, v. 17, e172051, 2022. |
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Páginas: |
8 p. |
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DOI: |
https://doi.org/10.25186/.v17i.2051 |
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Idioma: |
Inglês |
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Conteúdo: |
The market value of coffee is strongly influenced by loss of quality, which makes storage one of the main steps in the entire production chain. The finite element method (FEM) and computational fluid dynamics (CFD) are numerical and computational techniques that facilitate the simulation of agricultural product storage systems. Computational modeling satisfactorily represents real experimentation, simplifies decision-making, and reduces costs. This study aimed to analyze mocha coffee storage for 6 months in a cooled environment with temperatures between 15 and 18 °C and in a natural environment. The water content, bulk density, specific heat, thermal conductivity, and thermal diffusivity were determined and colorimetry and sensory analysis were applied to compare initial and final samples of the product after storage. It was found that the water content and specific heat were the only properties that presented significant changes. Through sensory analysis, it was observed that the quality of the coffee was the same for both systems. A computational model was developed to simulate the heat transfer process during storage. The comparison of the simulation results with the experimental results for the temperature distribution in the grain mass showed overall mean relative errors of 2.34% for the natural environment and 5.74% for the cooled environment. |
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Thesaurus NAL: |
Coffee beans; Postharvest systems; Storage. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1150902/1/Evaluation-of-the-behavior-v17.pdf
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Marc: |
LEADER 02073naa a2200241 a 4500
001 2150902
005 2023-01-12
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.25186/.v17i.2051$2DOI
100 1 $aANDRADE, E. T. de
245 $aEvaluation of the behavior of coffee stored in cooled and natural environments.$h[electronic resource]
260 $c2022
300 $a8 p.
520 $aThe market value of coffee is strongly influenced by loss of quality, which makes storage one of the main steps in the entire production chain. The finite element method (FEM) and computational fluid dynamics (CFD) are numerical and computational techniques that facilitate the simulation of agricultural product storage systems. Computational modeling satisfactorily represents real experimentation, simplifies decision-making, and reduces costs. This study aimed to analyze mocha coffee storage for 6 months in a cooled environment with temperatures between 15 and 18 °C and in a natural environment. The water content, bulk density, specific heat, thermal conductivity, and thermal diffusivity were determined and colorimetry and sensory analysis were applied to compare initial and final samples of the product after storage. It was found that the water content and specific heat were the only properties that presented significant changes. Through sensory analysis, it was observed that the quality of the coffee was the same for both systems. A computational model was developed to simulate the heat transfer process during storage. The comparison of the simulation results with the experimental results for the temperature distribution in the grain mass showed overall mean relative errors of 2.34% for the natural environment and 5.74% for the cooled environment.
650 $aCoffee beans
650 $aPostharvest systems
650 $aStorage
700 1 $aREZENDE, R. P.
700 1 $aBORÉM, F. M.
700 1 $aROSA, S. D. V. F. da
700 1 $aRIOS, P. de A.
700 1 $aOLIVEIRA, F. da S. de
773 $tCoffee Science$gv. 17, e172051, 2022.
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Embrapa Café (CNPCa) |
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