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| Registros recuperados : 4 | |
| 2. |  | LEITE, A. I. N.; VICENTINI, N. M.; ANJOS, V. dos; MEDEIROS, I. de F. Caracterização preliminar das principais regiões do espectro infravermelho do queijo de manteiga. In: CONGRESSO BRASILEIRO DE CIÊNCIA E TECNOLOGIA DE ALIMENTOS, 26., 2018, Belém, PA. O uso consciente da biodiversidade: perspectivas para o avanço da ciência e tecnologia de alimentos. Belém, PA: SBCTA:UFPA, 2018.| Biblioteca(s): Embrapa Gado de Leite. |
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| 4. | | LEITE, A. I. N.; VICENTINI, N. M.; COSTA, R. G. B.; ANJOS, V. C. dos; PEREIRA, C. G.; MEDEIROS, I. de F. Influência do teor de gordura na cor e perfil de textura do queijo de manteiga. In: CONGRESSO NACIONAL DE LATICÍNIOS, 32., 2019, Juiz de Fora. Resumos... Belo Horizonte: EPAMIG, 2019. p. 38.| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 4 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
13/01/2020 |
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Data da última atualização: |
06/02/2024 |
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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: |
LEITE, A. I. N; PEREIRA, C. G.; ANDRADE, J.; VICENTINI, N. M.; BELL, M. J. V.; ANJOS, V. |
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Afiliação: |
Antonio Iranaldo Nunes Leite; Cristina Guimarães Pereira; Jonathan Andrade; NIVEA MARIA VICENTINI, CNPGL; Maria José Valenzuela Bell; Virgílio Anjos. |
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Título: |
FTIR-ATR spectroscopy as a tool for the rapid detection of adulterations in butter cheeses. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
LWT. Food Science and Technology, v. 109, p. 63-69, 2019. |
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DOI: |
https://doi.org/10.1016/j.lwt.2019.04.017 |
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Idioma: |
Inglês |
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Conteúdo: |
This study assessed the potential application of Fourier-Transformed Infrared spectroscopy using AttenuatedTotal Reflectance (FTIR-ATR) coupled with multivariate approaches to characterize and detect adulterations inbutter cheeses (BC) with soybean oil (SO). In general, as the adulterations were performed, there is a decrease inband intensities related to proteins, while for most bands related to lipid, the substitution of butter oil (BO) bySO led to increases in their intensities up to 70% of fraud. The band near 3007 cm−1was evinced only inadulterated cheeses. Principal component analysis differentiated the samples validating the spectral observa-tions. A partial least squares model allowed the prediction of the percentage of SO added into the samples withlow residuals. FTIR-ATR spectroscopy associated with chemometrics showed good performance in the detection of butter cheeses?adulterations. |
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Palavras-Chave: |
Adulteration; Authentication; Butter cheese. |
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Thesaurus NAL: |
Chemometrics; Vegetable oil. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/208615/1/Artigo-LWT-FoodSciTech-Nivea-FTIR.pdf
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Marc: |
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008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.lwt.2019.04.017$2DOI
100 1 $aLEITE, A. I. N
245 $aFTIR-ATR spectroscopy as a tool for the rapid detection of adulterations in butter cheeses.$h[electronic resource]
260 $c2019
520 $aThis study assessed the potential application of Fourier-Transformed Infrared spectroscopy using AttenuatedTotal Reflectance (FTIR-ATR) coupled with multivariate approaches to characterize and detect adulterations inbutter cheeses (BC) with soybean oil (SO). In general, as the adulterations were performed, there is a decrease inband intensities related to proteins, while for most bands related to lipid, the substitution of butter oil (BO) bySO led to increases in their intensities up to 70% of fraud. The band near 3007 cm−1was evinced only inadulterated cheeses. Principal component analysis differentiated the samples validating the spectral observa-tions. A partial least squares model allowed the prediction of the percentage of SO added into the samples withlow residuals. FTIR-ATR spectroscopy associated with chemometrics showed good performance in the detection of butter cheeses?adulterations.
650 $aChemometrics
650 $aVegetable oil
653 $aAdulteration
653 $aAuthentication
653 $aButter cheese
700 1 $aPEREIRA, C. G.
700 1 $aANDRADE, J.
700 1 $aVICENTINI, N. M.
700 1 $aBELL, M. J. V.
700 1 $aANJOS, V.
773 $tLWT. Food Science and Technology$gv. 109, p. 63-69, 2019.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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