Data/hora: 05/06/2024 04:39:31

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)	
Exemplares: 	CNPS - (21268-1) - UPC - AP - DD -  -  -  - DIS
CNPDIA - (18228-1) - UPC - AP - DD - PROCI.23/43 -  - 2023/47 - DIS