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Registro Completo |
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
02/12/2013 |
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Data da última atualização: |
06/07/2016 |
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Autoria: |
SOUSA, W. H. de. |
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Afiliação: |
Wandrick Hauss de Sousa, EMEPA-PB. |
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Título: |
Politetia e funções econômicas em caprinos da raça Boer. |
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Ano de publicação: |
2000 |
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Fonte/Imprenta: |
In: SIMPÓSIO NACIONAL DE MELHORAMENTO GENÉTICO ANIMAL, 3., 2000, Belo Horizonte, MG. Anais... Belo Horizonte: SBMA, 2000. p. 260-265. |
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Idioma: |
Português |
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Palavras-Chave: |
Politetia; Raça Boer. |
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Thesagro: |
Caprino. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00481naa a2200145 a 4500
001 1972611
005 2016-07-06
008 2000 bl uuuu u00u1 u #d
100 1 $aSOUSA, W. H. de
245 $aPolitetia e funções econômicas em caprinos da raça Boer.
260 $c2000
650 $aCaprino
653 $aPolitetia
653 $aRaça Boer
773 $tIn: SIMPÓSIO NACIONAL DE MELHORAMENTO GENÉTICO ANIMAL, 3., 2000, Belo Horizonte, MG. Anais... Belo Horizonte: SBMA, 2000. p. 260-265.
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Registro original: |
Embrapa Caprinos e Ovinos (CNPC) |
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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
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
25/06/2019 |
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Data da última atualização: |
27/01/2023 |
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Autoria: |
KAUFMANN, K. C.; FAVERO, F. de F.; VASCONCELOS, M. A. M. de; GODOY, H. T.; SAMPAIO, K. A.; BARBIN, D. F. |
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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. |
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Título: |
Portable NIR spectrometer for prediction of palm oil acidity. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Journal of Food Science, v. 84, n. 3, p. 406-411, 2019. |
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DOI: |
10.1111/1750-3841.14467 |
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Idioma: |
Inglês |
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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. |
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Thesagro: |
Composição Química; Dendê; Elaeis Oleifera; Espectrômetro; Óleo Vegetal. |
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Categoria do assunto: |
W Química e Física |
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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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Embrapa Amazônia Oriental (CPATU) |
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