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Biblioteca(s): |
Embrapa Uva e Vinho. |
Data corrente: |
04/01/2017 |
Data da última atualização: |
23/01/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
CZEPAK, M. C.; COSTA, A.; PEREIRA, G. E.; SOUZA, R. T. de; SCHMILDT, E. R. |
Afiliação: |
MARCIO PAULO CZEPAK; AMANDA COSTA; GIULIANO ELIAS PEREIRA, CNPUV / CPATSA; REGINALDO TEODORO DE SOUZA, CNPUV; EDILSON ROMAIS SCHMILDT. |
Título: |
Physicochemical characterization of wines obtained of cultivar Isabel (hybrid of Vitis vinifera x Vitis labrusca) from different Brazilian states. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
BIO Web of Conferences, EDP Sciences, Les Ulis, France, v. 7, n. 02020[online], 2016. |
Idioma: |
Inglês |
Notas: |
Também publicado em: WORLD VINE AND WINE CONGRESS, 39.; GENERAL ASSEMBLY OF THE OIV, 14., 2016, Bento Gonçalves. Vitiviniculture: technological advances to market challenges: abstracts. Bento Gonçalves: International Organisation of Vine and Wine, 2016. |
Conteúdo: |
This study aimed to characterize the wines produced with the cultivar Isabel four states of Brazil. |
Palavras-Chave: |
Uva de mesa; Variedade Isabel. |
Thesagro: |
Uva; Vinho; Vitis Vinifera. |
Thesaurus Nal: |
Grapes. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/153150/1/Artigo-publicado-com-DOI-10.1051.pdf
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Marc: |
LEADER 01128naa a2200253 a 4500 001 2059877 005 2018-01-23 008 2016 bl uuuu u00u1 u #d 100 1 $aCZEPAK, M. C. 245 $aPhysicochemical characterization of wines obtained of cultivar Isabel (hybrid of Vitis vinifera x Vitis labrusca) from different Brazilian states.$h[electronic resource] 260 $c2016 500 $aTambém publicado em: WORLD VINE AND WINE CONGRESS, 39.; GENERAL ASSEMBLY OF THE OIV, 14., 2016, Bento Gonçalves. Vitiviniculture: technological advances to market challenges: abstracts. Bento Gonçalves: International Organisation of Vine and Wine, 2016. 520 $aThis study aimed to characterize the wines produced with the cultivar Isabel four states of Brazil. 650 $aGrapes 650 $aUva 650 $aVinho 650 $aVitis Vinifera 653 $aUva de mesa 653 $aVariedade Isabel 700 1 $aCOSTA, A. 700 1 $aPEREIRA, G. E. 700 1 $aSOUZA, R. T. de 700 1 $aSCHMILDT, E. R. 773 $tBIO Web of Conferences, EDP Sciences, Les Ulis, France$gv. 7, n. 02020[online], 2016.
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
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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. |
Registro Completo
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
25/06/2019 |
Data da última atualização: |
27/01/2023 |
Autoria: |
KAUFMANN, K. C.; FAVERO, F. de F.; VASCONCELOS, M. A. M. de; GODOY, H. T.; SAMPAIO, K. A.; BARBIN, D. F. |
Afiliação: |
Karine Cristine Kaufmann, UNICAMP; Flávia de Faveri Favero, UNICAMP; MARCUS ARTHUR MARCAL DE VASCONCELOS, UNICAMP / CPATU; Helena Teixeira Godoy, UNICAMP; Klicia Araujo Sampaio, UNICAMP; Douglas Fernandes Barbin, UNICAMP. |
Título: |
Portable NIR spectrometer for prediction of palm oil acidity. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Journal of Food Science, v. 84, n. 3, p. 406-411, 2019. |
DOI: |
10.1111/1750-3841.14467 |
Idioma: |
Inglês |
Conteúdo: |
Palm oil is widely used in the food industry, and its quality is associated with the free fatty acids (FFA) content. Determination of FFA in oil is time-consuming, requires chemicals and generates residues. There is trend of applying process analytical technologies (PAT) for fast and nondestructive determination of oil parameters. Portable near-infrared (NIR) spectrometers are cheaper than bench top equipment, and have been used for several tasks in the food processing industry, as it provides fast and reliable data for inline measurements. This study investigated the use of NIR spectra using a portable equipment, combined with both unsupervised and supervised multivariate analyses for identification of palm oil samples with different levels of FFA. Soft independent modeling of class analogy , k-Nearest Neighbors, and linear discriminant analysis models were able to correctly identify 100% of the studied samples with selected wavelengths from NIR spectra. Calibration models were performed for acidity prediction, achieving R2 = 0.97, with root mean square error of prediction = 4.37 for partial least squares model using most relevant wavelengths. These results demonstrate the feasibility of applying a low-cost portable NIR spectrophotometer to predict quality parameters of palm oil. |
Thesagro: |
Composição Química; Dendê; Elaeis Oleifera; Espectrômetro; Óleo Vegetal. |
Categoria do assunto: |
W Química e Física |
Marc: |
LEADER 02029naa a2200253 a 4500 001 2110029 005 2023-01-27 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1111/1750-3841.14467$2DOI 100 1 $aKAUFMANN, K. C. 245 $aPortable NIR spectrometer for prediction of palm oil acidity.$h[electronic resource] 260 $c2019 520 $aPalm oil is widely used in the food industry, and its quality is associated with the free fatty acids (FFA) content. Determination of FFA in oil is time-consuming, requires chemicals and generates residues. There is trend of applying process analytical technologies (PAT) for fast and nondestructive determination of oil parameters. Portable near-infrared (NIR) spectrometers are cheaper than bench top equipment, and have been used for several tasks in the food processing industry, as it provides fast and reliable data for inline measurements. This study investigated the use of NIR spectra using a portable equipment, combined with both unsupervised and supervised multivariate analyses for identification of palm oil samples with different levels of FFA. Soft independent modeling of class analogy , k-Nearest Neighbors, and linear discriminant analysis models were able to correctly identify 100% of the studied samples with selected wavelengths from NIR spectra. Calibration models were performed for acidity prediction, achieving R2 = 0.97, with root mean square error of prediction = 4.37 for partial least squares model using most relevant wavelengths. These results demonstrate the feasibility of applying a low-cost portable NIR spectrophotometer to predict quality parameters of palm oil. 650 $aComposição Química 650 $aDendê 650 $aElaeis Oleifera 650 $aEspectrômetro 650 $aÓleo Vegetal 700 1 $aFAVERO, F. de F. 700 1 $aVASCONCELOS, M. A. M. de 700 1 $aGODOY, H. T. 700 1 $aSAMPAIO, K. A. 700 1 $aBARBIN, D. F. 773 $tJournal of Food Science$gv. 84, n. 3, p. 406-411, 2019.
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