Data/hora: 21/06/2024 23:29:49

Biblioteca(s): | Embrapa Instrumentação; Embrapa Solos.
Data corrente: | 24/04/2023
Data da última atualização: | 11/04/2024
Autoria: | BABOS, D. V.; RAMOS, J. F. K.; FRANCISCO, G. C.; BENITES, V. de M.; MILORI, D. M. B. P.
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.
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.
Ano de publicação: | 2023
Fonte/Imprenta: | Journal of the Optical Society of America B, v. 40, n. 3, p. 654-660, Mar. 2023.
DOI: | https://doi.org/10.1364/JOSAB.482619
Idioma: | Inglês
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<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.
Palavras-Chave: | Digital imaging; Laser induced breakdown; Plasma spectroscopy.
Thesaurus Nal: | Fertilizers; Spectroscopy; X-ray fluorescence spectroscopy.
Categoria do assunto: | P Recursos Naturais, Ciências Ambientais e da Terra
Registro original: | Embrapa Solos (CNPS)

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