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| Registros recuperados : 2 | |
| 1. |  | SILVA, J. E. da; MELO, D. M. de A.; MELO, M. A. de F.; AGUIAR, E. M. de; PIMENTA, A. S.; MEDEIROS, E. P. de; CALIXTO, G. Q.; BRAGA, R. M. Energetic characterization and evaluation of briquettes produced from naturally colored cotton waste. Environmental Science and Pollution Research, v. 26, 2019.| Biblioteca(s): Embrapa Algodão. |
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| 2. | | SILVA, J. E. da; CALIXTO, G. Q.; MEDEIROS, R. L. B. de A.; MELO, M. A. de F.; MELO, D. M. de A.; CARVALHO, L. P. de; BRAGA, R. M. Colored cotton wastes valuation through thermal and catalytic reforming of pyrolysis vapors (Py-GC/MS). Scientific Reports, v. 11, 16087, p. 1-10, 2021. 10 p.| Biblioteca(s): Embrapa Algodão. |
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| Registros recuperados : 2 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
28/11/2022 |
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Data da última atualização: |
22/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
MACHADO, G. O.; TEIXEIRA, G. G.; GARCIA, R. H. S.; MORAES, T. B.; BONA, E.; SANTOS, P. M.; COLNAGO, L. A. |
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Afiliação: |
LUIZ ALBERTO COLNAGO, CNPDIA. |
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Título: |
Non-invasive method to predict the composition of requeijão cremoso directly in commercial packages using time domain NMR relaxometry and chemometrics. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Molecules, v. 27, a4434, 2022. |
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Páginas: |
10 p. |
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DOI: |
https://doi.org/10.3390/molecules27144434 |
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Idioma: |
Inglês |
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Conteúdo: |
Low Field Time-Domain Nuclear Magnetic Resonance (TD-NMR) relaxometry was used to determine moisture, fat, and defatted dry matter contents in ?requeijão cremoso? (RC) processed cheese directly in commercial packaged (plastic cups or tubes with approximately 200 g). Forty-five samples of commercial RC types (traditional, light, lactose-free, vegan, and fiber) were analyzed using longitudinal (T1) and transverse (T2) relaxation measurements in a wide bore Halbach magnet(0.23 T) with a 100 mm probe. The T1 and T2 analyses were performed using CWFP-T1(Continuous Wave Free Precession) and CPMG (Carr-Purcell-Meiboom-Gill) single shot pulses. The scores of the principal component analysis (PCA) of CWFP-T1 and CPMG signals did not show clustering related to the RC types. Optimization by variable selection was carried out with ordered predictorsselection (OPS), providing simpler and predictive partial least squares (PLS) calibration models. The best results were obtained with CWFP-T1 data, with root-mean-square errors of prediction (RMSEP) of 1.38, 4.71, 3.28, and 3.00% for defatted dry mass, fat in the dry and wet matter, and moisture, respectively. Therefore, CWFP-T1 data modeled with chemometrics can be a fast method to monitor the quality of RC directly in commercial packages |
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Palavras-Chave: |
CPMG; OPS; PLS; Requeijão cremoso; TD-NMR. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1148849/1/P-Non-Invasive-Method-to-Predict-the-Composition-of-Requeijao-Cremoso-Directly-in-Commercial-Packages-Using-Time-Domain-NMR-a.pdf
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Marc: |
LEADER 02108naa a2200277 a 4500
001 2148849
005 2024-01-22
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/molecules27144434$2DOI
100 1 $aMACHADO, G. O.
245 $aNon-invasive method to predict the composition of requeijão cremoso directly in commercial packages using time domain NMR relaxometry and chemometrics.$h[electronic resource]
260 $c2022
300 $a10 p.
520 $aLow Field Time-Domain Nuclear Magnetic Resonance (TD-NMR) relaxometry was used to determine moisture, fat, and defatted dry matter contents in ?requeijão cremoso? (RC) processed cheese directly in commercial packaged (plastic cups or tubes with approximately 200 g). Forty-five samples of commercial RC types (traditional, light, lactose-free, vegan, and fiber) were analyzed using longitudinal (T1) and transverse (T2) relaxation measurements in a wide bore Halbach magnet(0.23 T) with a 100 mm probe. The T1 and T2 analyses were performed using CWFP-T1(Continuous Wave Free Precession) and CPMG (Carr-Purcell-Meiboom-Gill) single shot pulses. The scores of the principal component analysis (PCA) of CWFP-T1 and CPMG signals did not show clustering related to the RC types. Optimization by variable selection was carried out with ordered predictorsselection (OPS), providing simpler and predictive partial least squares (PLS) calibration models. The best results were obtained with CWFP-T1 data, with root-mean-square errors of prediction (RMSEP) of 1.38, 4.71, 3.28, and 3.00% for defatted dry mass, fat in the dry and wet matter, and moisture, respectively. Therefore, CWFP-T1 data modeled with chemometrics can be a fast method to monitor the quality of RC directly in commercial packages
653 $aCPMG
653 $aOPS
653 $aPLS
653 $aRequeijão cremoso
653 $aTD-NMR
700 1 $aTEIXEIRA, G. G.
700 1 $aGARCIA, R. H. S.
700 1 $aMORAES, T. B.
700 1 $aBONA, E.
700 1 $aSANTOS, P. M.
700 1 $aCOLNAGO, L. A.
773 $tMolecules$gv. 27, a4434, 2022.
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Registro original: |
Embrapa Instrumentação (CNPDIA) |
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