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Registros recuperados : 2 | |
1. | | MACHADO, G. O.; TEIXEIRA, G. G.; GARCIA, R. H. S.; MORAES, T. B.; BONA, E.; SANTOS, P. M.; COLNAGO, L. A. Non-invasive method to predict the composition of requeijão cremoso directly in commercial packages using time domain NMR relaxometry and chemometrics. Molecules, v. 27, a4434, 2022. 10 p. Biblioteca(s): Embrapa Instrumentação. |
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2. | | SPRICIGO, P. C.; CORREIA, B. S. B.; BORBA, K. R.; TAVER, I. B.; MACHADO, G. O.; WILHELMS, R. Z.; QUEIROZ JUNIOR, L. H. K.; JACOMINO, A. P.; COLNAGO, L. A. Classical food quality attributes and the metabolic profile of cambuci, a native brazilian atlantic rainforest fruit. Molecules, v. 26, e3613, 2021. 1-17 Biblioteca(s): Embrapa Instrumentação. |
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Registros recuperados : 2 | |
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Registro Completo
Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
28/11/2022 |
Data da última atualização: |
22/01/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
MACHADO, G. O.; TEIXEIRA, G. G.; GARCIA, R. H. S.; MORAES, T. B.; BONA, E.; SANTOS, P. M.; COLNAGO, L. A. |
Afiliação: |
LUIZ ALBERTO COLNAGO, CNPDIA. |
Título: |
Non-invasive method to predict the composition of requeijão cremoso directly in commercial packages using time domain NMR relaxometry and chemometrics. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Molecules, v. 27, a4434, 2022. |
Páginas: |
10 p. |
DOI: |
https://doi.org/10.3390/molecules27144434 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
CPMG; OPS; PLS; Requeijão cremoso; TD-NMR. |
Categoria do assunto: |
-- |
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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