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Registros recuperados : 5 | |
1. | | MORAIS, C. P. de; TADINI, A. M.; BENTO, L. R.; OURSEL, B.; GUIMARÃES, F. E. G.; MARTIN NETO, L.; MOUNIER, S.; MILORI, D. M. B. P. Assessing extracted organic matter quality from river sediments by elemental and molecular characterization: Application to the Tietê and Piracicaba Rivers (São Paulo, Brazil). Applied Geochemistry, v. 131, 105049, 2021. 1 - 11 Biblioteca(s): Embrapa Instrumentação. |
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2. | | CIOCCIA, G.; MORAIS, C. P. de; BABOS, D. V.; MILORI, D. M. B. P.; ALVES, C. Z.; CENA, C.; NICOLODELLI, G.; MARANGONI, B. S. Laser-induced breakdown spectroscopy associated with the design of experiments and machine learning for discrimination of Brachiaria brizantha seed vigor. Sensors, v. 22, a5067, 2022. 12 p. Biblioteca(s): Embrapa Instrumentação. |
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4. | | GUEDES, W. N.; BABOS, D. V.; COSTA, V. C.; MORAIS, C. P de; FREITAS, V. S.; STENIO, K.; XAVIER, A. A. P.; BORDUCHI, L. C. L.; VILLAS-BOAS, P. R.; MILORI, D. M. B. P. Evaluation of univariate and multivariate calibration strategies for the direct determination of total carbon in soils by laser-induced breakdown spectroscopy: tutorial. Journal of the Optical Society of America B, v. 40, n. 5, 2023. 1319 - 1330 Biblioteca(s): Embrapa Instrumentação. |
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5. | | BORGES, F. A.; DRAGO, B. C.; BAGGIO, L. O.; BARROS, N. R. de; BRASIL, G. S. P.; SCONTRI, M.; MUSSAGY, C. U.; RIBEIRO, M. C. S.; MILORI, D. M. B. P.; MORAIS, C. P. de; MARANGONI, B. S.; NICOLODELLI, G.; MECWAN, M.; MANDAL, K.; GUERRA, N. B.; MENEGATTI, C. R.; HERCULANO, R. D. Metronidazole-loaded gold nanoparticles in natural rubber latex as a potential wound dressing. International Journal of Biological Macromolecules, v. 211, 2022. 568?579 Biblioteca(s): Embrapa Instrumentação. |
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Registros recuperados : 5 | |
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Registro Completo
Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
04/07/2023 |
Data da última atualização: |
29/07/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 3 |
Autoria: |
GUEDES, W. N.; BABOS, D. V.; COSTA, V. C.; MORAIS, C. P de; FREITAS, V. S.; STENIO, K.; XAVIER, A. A. P.; BORDUCHI, L. C. L.; VILLAS-BOAS, P. R.; MILORI, D. M. B. P. |
Afiliação: |
UNIVERSIDADE DE SÃO PAULO; PAULINO RIBEIRO VILLAS BOAS, CNPDIA; DEBORA MARCONDES BASTOS PEREIRA, CNPDIA. |
Título: |
Evaluation of univariate and multivariate calibration strategies for the direct determination of total carbon in soils by laser-induced breakdown spectroscopy: tutorial. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Journal of the Optical Society of America B, v. 40, n. 5, 2023. |
Páginas: |
1319 - 1330 |
ISSN: |
0740-3224 |
DOI: |
https://doi.org/10.1364/JOSAB.482644 |
Idioma: |
Inglês |
Conteúdo: |
The correct choice of the calibration strategy method is a step that can ensure the accuracy of carbon determination in soils by laser-induced breakdown spectroscopy. In this paper, we evaluate and discuss the intrinsic characteristics of univariate and multivariate calibration strategies in overcoming soil matrix effects and their influence on the magnitude of calibration and prediction error values. The matrix-matching calibration with previous correction of Al spectral interference in the C I line at 193.03 nm was the best strategy of the 13 univariate models evaluated [root-mean-square error of calibration?(RMSEP) = 0.2 wt.% C]. In the multivariate evaluation of the 22 models obtained, the artificial neural network allowed obtaining a lower value of prediction error for C (RMSEP = 0.1 wt.% C) with very good accuracy (98%) for the set samples of validation. The observation of these results was justified considering the advantages and limitations of each calibration strategy explored. |
Palavras-Chave: |
Accuracy of carbon; Laser-induced breakdown spectroscopy. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1154795/1/P-Evaluation-of-univariate-and-multivariate.pdf
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Marc: |
LEADER 01967naa a2200289 a 4500 001 2154795 005 2024-07-29 008 2023 bl uuuu u00u1 u #d 022 $a0740-3224 024 7 $ahttps://doi.org/10.1364/JOSAB.482644$2DOI 100 1 $aGUEDES, W. N. 245 $aEvaluation of univariate and multivariate calibration strategies for the direct determination of total carbon in soils by laser-induced breakdown spectroscopy$btutorial.$h[electronic resource] 260 $c2023 300 $a1319 - 1330 520 $aThe correct choice of the calibration strategy method is a step that can ensure the accuracy of carbon determination in soils by laser-induced breakdown spectroscopy. In this paper, we evaluate and discuss the intrinsic characteristics of univariate and multivariate calibration strategies in overcoming soil matrix effects and their influence on the magnitude of calibration and prediction error values. The matrix-matching calibration with previous correction of Al spectral interference in the C I line at 193.03 nm was the best strategy of the 13 univariate models evaluated [root-mean-square error of calibration?(RMSEP) = 0.2 wt.% C]. In the multivariate evaluation of the 22 models obtained, the artificial neural network allowed obtaining a lower value of prediction error for C (RMSEP = 0.1 wt.% C) with very good accuracy (98%) for the set samples of validation. The observation of these results was justified considering the advantages and limitations of each calibration strategy explored. 653 $aAccuracy of carbon 653 $aLaser-induced breakdown spectroscopy 700 1 $aBABOS, D. V. 700 1 $aCOSTA, V. C. 700 1 $aMORAIS, C. P de 700 1 $aFREITAS, V. S. 700 1 $aSTENIO, K. 700 1 $aXAVIER, A. A. P. 700 1 $aBORDUCHI, L. C. L. 700 1 $aVILLAS-BOAS, P. R. 700 1 $aMILORI, D. M. B. P. 773 $tJournal of the Optical Society of America B$gv. 40, n. 5, 2023.
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