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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
26/08/2011 |
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Data da última atualização: |
23/09/2011 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
BALBINOT JUNIOR, A. A.; LIMA, D.; SILVA FILHO, P. M.; OLIVEIRA, A. B. |
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Afiliação: |
ALVADI ANTONIO BALBINOT JUNIOR, CNPSO; DIVANIA DE LIMA, CNPSO; PEDRO MOREIRA DA SILVA FILHO, CNPSO; ARNOLD BARBOSA DE OLIVEIRA, CNPSO. |
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Título: |
Implantação da central de diagnóstico para a cultura da soja. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: REUNIÃO DE PESQUISA DE SOJA DA REGIÃO CENTRAL DO BRASIL, 32., 2011, São Pedro, SP. Resumos expandidos... Londrina: Embrapa Soja, 2011. p. 17-18. Editado por Adilson de Oliveira Junior, Odilon Ferreira Saraiva, Regina Maria Villas Bôas de Campos Leite. |
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Idioma: |
Português |
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Thesagro: |
Transferência de Tecnologia. |
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Thesaurus Nal: |
Technology transfer. |
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Categoria do assunto: |
E Economia e Indústria Agrícola |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/40568/1/balbinotp.17.pdf
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Marc: |
LEADER 00697nam a2200157 a 4500
001 1898884
005 2011-09-23
008 2011 bl uuuu u00u1 u #d
100 1 $aBALBINOT JUNIOR, A. A.
245 $aImplantação da central de diagnóstico para a cultura da soja.
260 $aIn: REUNIÃO DE PESQUISA DE SOJA DA REGIÃO CENTRAL DO BRASIL, 32., 2011, São Pedro, SP. Resumos expandidos... Londrina: Embrapa Soja, 2011. p. 17-18. Editado por Adilson de Oliveira Junior, Odilon Ferreira Saraiva, Regina Maria Villas Bôas de Campos Leite.$c2011
650 $aTechnology transfer
650 $aTransferência de Tecnologia
700 1 $aLIMA, D.
700 1 $aSILVA FILHO, P. M.
700 1 $aOLIVEIRA, A. B.
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Registro original: |
Embrapa Soja (CNPSO) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Instrumentação. Para informações adicionais entre em contato com cnpdia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
20/06/2022 |
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Data da última atualização: |
23/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
DE MORAES, C. P.; BABOS, D. V.; COSTA, V. C.; NERIS, J. B.; NICOLODELLI, G.; FOSCHINI, M. M.; MAUAD, F. F.; MOUNIER, S.; MILORI, D. M. B. P. |
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Afiliação: |
MILENE CORSO MITSUYUKI, CNPDIA; DEBORA MARCONDES BASTOS PEREIRA, CNPDIA. |
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Título: |
Direct determination of Cu, Cr, and Ni in river sediments using double pulse laser-induced breakdown spectroscopy: Ecological risk and pollution level assessment. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Science of the Total Environment, v. 837, 155699, 2022. |
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Páginas: |
9 p. |
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ISSN: |
0048-9697 |
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DOI: |
http://dx.doi.org/10.1016/j.scitotenv.2022.155699 |
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Idioma: |
Inglês |
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Conteúdo: |
Double pulse laser-induced breakdown spectroscopy (DP LIBS) has attracted much attention for analyzing trace elements due to its higher sensitivity when compared to single pulse laser-induced breakdown spectroscopy (SP LIBS).However, the development of quantitative methods in LIBS for the analysis of complex samples, such as sediments,is a great challenge due to the matrix effects that are very accentuated in this technique. In this study, different spectral treatments and calibration strategies were investigated to obtain calibration models that allow determinations with satisfactory accuracy and precision of Cr, Cu, and Ni in river sediments from different hydrographic basins. The best model developed for Cr was using MMC without spectral normalization and for Cu and Ni it was using MMC with spectral normalization, and using inverse regression, an increase in the accuracy of the determinations of all analytes was obtained. These models showed limit of quantification (LOQ) of 7.87 mg kg−1, 1.62 mg kg−1, and 2.21 mg kg−1 and root mean square error of prediction (RMSEP) of 7.54 mg kg−1, 14.53 mg kg−1, and 8.29 mg kg−1 for Cr, Cu, and Ni, respectively. Therefore, the models have adequate sensitivity and precision for the quantification of the potentially toxic elements (PTEs) evaluated, since, according to Brazilian legislation, the lower concentration of threshold effect |
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Palavras-Chave: |
Double pulse laser-induced breakdown; Ecological risk; Matrix-matching calibration; Spectral normalization. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02425naa a2200301 a 4500
001 2144180
005 2024-01-23
008 2022 bl uuuu u00u1 u #d
022 $a0048-9697
024 7 $ahttp://dx.doi.org/10.1016/j.scitotenv.2022.155699$2DOI
100 1 $aDE MORAES, C. P.
245 $aDirect determination of Cu, Cr, and Ni in river sediments using double pulse laser-induced breakdown spectroscopy$bEcological risk and pollution level assessment.$h[electronic resource]
260 $c2022
300 $a9 p.
520 $aDouble pulse laser-induced breakdown spectroscopy (DP LIBS) has attracted much attention for analyzing trace elements due to its higher sensitivity when compared to single pulse laser-induced breakdown spectroscopy (SP LIBS).However, the development of quantitative methods in LIBS for the analysis of complex samples, such as sediments,is a great challenge due to the matrix effects that are very accentuated in this technique. In this study, different spectral treatments and calibration strategies were investigated to obtain calibration models that allow determinations with satisfactory accuracy and precision of Cr, Cu, and Ni in river sediments from different hydrographic basins. The best model developed for Cr was using MMC without spectral normalization and for Cu and Ni it was using MMC with spectral normalization, and using inverse regression, an increase in the accuracy of the determinations of all analytes was obtained. These models showed limit of quantification (LOQ) of 7.87 mg kg−1, 1.62 mg kg−1, and 2.21 mg kg−1 and root mean square error of prediction (RMSEP) of 7.54 mg kg−1, 14.53 mg kg−1, and 8.29 mg kg−1 for Cr, Cu, and Ni, respectively. Therefore, the models have adequate sensitivity and precision for the quantification of the potentially toxic elements (PTEs) evaluated, since, according to Brazilian legislation, the lower concentration of threshold effect
653 $aDouble pulse laser-induced breakdown
653 $aEcological risk
653 $aMatrix-matching calibration
653 $aSpectral normalization
700 1 $aBABOS, D. V.
700 1 $aCOSTA, V. C.
700 1 $aNERIS, J. B.
700 1 $aNICOLODELLI, G.
700 1 $aFOSCHINI, M. M.
700 1 $aMAUAD, F. F.
700 1 $aMOUNIER, S.
700 1 $aMILORI, D. M. B. P.
773 $tScience of the Total Environment$gv. 837, 155699, 2022.
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