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| Registros recuperados : 53 | |
| Registros recuperados : 53 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação; Embrapa Solos. |
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Data corrente: |
24/04/2023 |
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Data da última atualização: |
11/04/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 3 |
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Autoria: |
BABOS, D. V.; RAMOS, J. F. K.; FRANCISCO, G. C.; BENITES, V. de M.; MILORI, D. M. B. P. |
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Afiliação: |
DIEGO VICTOR BABOS, UNIVERSIDADE FEDERAL DE SÃO CARLOS; JÉSSICA FRANCIELE KAMINSKI RAMOS, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; GABRIEL CARLOS FRANCISCO, UNIVERSIDADE FEDERAL DO RIO DE JANEIRO; VINICIUS DE MELO BENITES, CNPS; DEBORA MARCONDES BASTOS PEREIRA, CNPDIA. |
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Título: |
Laser-induced breakdown spectroscopy and digital image data fusion for determination of the Al, Ca, Fe, Mg, and P in mineral fertilizer: overcome matrix effects in solid direct analysis. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Journal of the Optical Society of America B, v. 40, n. 3, p. 654-660, Mar. 2023. |
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DOI: |
https://doi.org/10.1364/JOSAB.482619 |
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Idioma: |
Inglês |
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Conteúdo: |
Laser-induced breakdown spectroscopy (LIBS) and digital images were evaluated in the modeling for the prediction of Al, Ca, Fe, Mg, and P contents in mineral fertilizer samples. For modeling, univariate [matrix-matching calibration (MMC)] and multivariate [multiple linear regression (MLR) using only LIBS data, and data fusion (LIBS + digital image)] calibration strategies were evaluated. The predictive capacity of the models was increased in the following order: MMC
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Palavras-Chave: |
Digital imaging; Laser induced breakdown; Plasma spectroscopy. |
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Thesaurus NAL: |
Fertilizers; Spectroscopy; X-ray fluorescence spectroscopy. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 01580naa a2200253 a 4500
001 2153302
005 2024-04-11
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1364/JOSAB.482619$2DOI
100 1 $aBABOS, D. V.
245 $aLaser-induced breakdown spectroscopy and digital image data fusion for determination of the Al, Ca, Fe, Mg, and P in mineral fertilizer$bovercome matrix effects in solid direct analysis.$h[electronic resource]
260 $c2023
520 $aLaser-induced breakdown spectroscopy (LIBS) and digital images were evaluated in the modeling for the prediction of Al, Ca, Fe, Mg, and P contents in mineral fertilizer samples. For modeling, univariate [matrix-matching calibration (MMC)] and multivariate [multiple linear regression (MLR) using only LIBS data, and data fusion (LIBS + digital image)] calibration strategies were evaluated. The predictive capacity of the models was increased in the following order: MMC<MLR (LIBS) < data fusion. Compared with the MMC and MLR (LIBS data only), the root mean square error (data fusion) values were 17% to 80% lower, demonstrating the improvement in accuracy.
650 $aFertilizers
650 $aSpectroscopy
650 $aX-ray fluorescence spectroscopy
653 $aDigital imaging
653 $aLaser induced breakdown
653 $aPlasma spectroscopy
700 1 $aRAMOS, J. F. K.
700 1 $aFRANCISCO, G. C.
700 1 $aBENITES, V. de M.
700 1 $aMILORI, D. M. B. P.
773 $tJournal of the Optical Society of America B$gv. 40, n. 3, p. 654-660, Mar. 2023.
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