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| 108. |  | CAMARGO, J. F. M.; LORETO, R. B.; MEYER, M. C. Uso de agentes antagonistas no controle biológico de Aphelenchoides besseyi em soja. In: JORNADA ACADÊMICA DA EMBRAPA SOJA, 18., 2023, Londrina. Resumos expandidos... Londrina: Embrapa Soja, 2023. (Embrapa Soja. Documentos, 453). Regina Maria Villas Bôas de Campos Leite, Larissa Alexandra Cardoso Moraes, Kelly Catharin, Editoras Técnicas. p. 65-73.| Biblioteca(s): Embrapa Soja. |
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Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação; Embrapa Soja. |
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Data corrente: |
29/12/2022 |
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Data da última atualização: |
29/12/2022 |
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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: |
BORDUCHI, L. C. L.; MILORI, D. M. B. P.; MEYER, M. C.; VILLAS-BOAS, P. R. |
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Afiliação: |
DEBORA MARCONDES BASTOS PEREIRA, CNPDIA; MAURICIO CONRADO MEYER, CNPSO; PAULINO RIBEIRO VILLAS BOAS, CNPDIA. |
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Título: |
Reducing matrix effects on the quantification of Ca, Mg, and Fe in soybean leaf samples using calibration-free LIBS and one-point calibration. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Spectrochimica Acta Part B: Atomic Spectroscopy, v. 198, a106561, 2022. |
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Páginas: |
1 - 9 |
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ISSN: |
0584-8547 |
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DOI: |
https://doi.org/10.1016/j.sab.2022.106561 |
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Idioma: |
Inglês |
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Conteúdo: |
Matrix effects are one of the most difficult analytical challenges in laser-induced breakdown spectroscopy (LIBS), since signal intensity depends on both element concentration and matrix. For instance, the measurement of nutrients in plant leaves using LIBS is notably impacted by matrix effects because of differences in fertilizer application, weather, soil properties, and health levels. Thus, to overcome matrix effects on the quantification of nutrients in plant leaves, we propose the use of CF-LIBS, in which the intensity of emission lines is corrected using the one-point calibration (OPC) method. In this study, we analyzed thirty soybean leaf samples of cultivars from various locations and health levels with 0.5 wt% TiO2 (internal standard), for which the matrix effects were visible in the calibration curves. Normalization using a Ti II line increased the average r 2 of the calibration curves for Ca II, Mg II, and Fe II from 0.24 to 0.73, but this was insufficient to adjust for the variations in plasma temperature and for the degree to which the elements were ionized. With the proposed models and using just one sample to calibrate the OPC factors, we obtained an accuracy >92% and an average r 2 of 0.87 for the quantification of Ca, Mg, and Fe in relation to the atomic absorption spectroscopy (AAS). We then concluded that CFLIBS with the OPC corrections might mitigate matrix effects in LIBS analysis of soybean leaf samples. More studies are needed to assess whether the OPC factors calibrated with soybean leaf samples can be applied to other species. MenosMatrix effects are one of the most difficult analytical challenges in laser-induced breakdown spectroscopy (LIBS), since signal intensity depends on both element concentration and matrix. For instance, the measurement of nutrients in plant leaves using LIBS is notably impacted by matrix effects because of differences in fertilizer application, weather, soil properties, and health levels. Thus, to overcome matrix effects on the quantification of nutrients in plant leaves, we propose the use of CF-LIBS, in which the intensity of emission lines is corrected using the one-point calibration (OPC) method. In this study, we analyzed thirty soybean leaf samples of cultivars from various locations and health levels with 0.5 wt% TiO2 (internal standard), for which the matrix effects were visible in the calibration curves. Normalization using a Ti II line increased the average r 2 of the calibration curves for Ca II, Mg II, and Fe II from 0.24 to 0.73, but this was insufficient to adjust for the variations in plasma temperature and for the degree to which the elements were ionized. With the proposed models and using just one sample to calibrate the OPC factors, we obtained an accuracy >92% and an average r 2 of 0.87 for the quantification of Ca, Mg, and Fe in relation to the atomic absorption spectroscopy (AAS). We then concluded that CFLIBS with the OPC corrections might mitigate matrix effects in LIBS analysis of soybean leaf samples. More studies are needed to assess whether the OPC... Mostrar Tudo |
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Palavras-Chave: |
Calibration-free; LIBS; Matrix effects; Soybean leaf samples. |
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Thesagro: |
Espectrometria; Soja. |
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Thesaurus NAL: |
Calibration; Lasers; Soybeans; Spectroscopy. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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001 2150485
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022 $a0584-8547
024 7 $ahttps://doi.org/10.1016/j.sab.2022.106561$2DOI
100 1 $aBORDUCHI, L. C. L.
245 $aReducing matrix effects on the quantification of Ca, Mg, and Fe in soybean leaf samples using calibration-free LIBS and one-point calibration.$h[electronic resource]
260 $c2022
300 $a1 - 9
520 $aMatrix effects are one of the most difficult analytical challenges in laser-induced breakdown spectroscopy (LIBS), since signal intensity depends on both element concentration and matrix. For instance, the measurement of nutrients in plant leaves using LIBS is notably impacted by matrix effects because of differences in fertilizer application, weather, soil properties, and health levels. Thus, to overcome matrix effects on the quantification of nutrients in plant leaves, we propose the use of CF-LIBS, in which the intensity of emission lines is corrected using the one-point calibration (OPC) method. In this study, we analyzed thirty soybean leaf samples of cultivars from various locations and health levels with 0.5 wt% TiO2 (internal standard), for which the matrix effects were visible in the calibration curves. Normalization using a Ti II line increased the average r 2 of the calibration curves for Ca II, Mg II, and Fe II from 0.24 to 0.73, but this was insufficient to adjust for the variations in plasma temperature and for the degree to which the elements were ionized. With the proposed models and using just one sample to calibrate the OPC factors, we obtained an accuracy >92% and an average r 2 of 0.87 for the quantification of Ca, Mg, and Fe in relation to the atomic absorption spectroscopy (AAS). We then concluded that CFLIBS with the OPC corrections might mitigate matrix effects in LIBS analysis of soybean leaf samples. More studies are needed to assess whether the OPC factors calibrated with soybean leaf samples can be applied to other species.
650 $aCalibration
650 $aLasers
650 $aSoybeans
650 $aSpectroscopy
650 $aEspectrometria
650 $aSoja
653 $aCalibration-free
653 $aLIBS
653 $aMatrix effects
653 $aSoybean leaf samples
700 1 $aMILORI, D. M. B. P.
700 1 $aMEYER, M. C.
700 1 $aVILLAS-BOAS, P. R.
773 $tSpectrochimica Acta Part B: Atomic Spectroscopy$gv. 198, a106561, 2022.
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