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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

2023; Optica Publishing Group; Volume: 40; Issue: 3 Linguagem: Inglês

10.1364/josab.482619

ISSN

1520-8540

Autores

Diego Victor Babos, Jéssica Franciele Kaminski Ramos, Gabriel Carlos Francisco, V. de M. Benites, D. M. B. P. Milori,

Tópico(s)

Mineral Processing and Grinding

Resumo

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.

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