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| Registros recuperados : 7 | |
| 1. |  | SPERANÇA, M. A.; SEGNINI, A.; MILORI, D. M. B. P.; OLIVEIRA, P. P. A. de. Determinação da textura de solo em uma cronossequência ocupada por diferentes sistemas de produção de bovinos de corte em pastagens. In: JORNADA CIENTÍFICA - EMBRAPA SÃO CARLOS, 4., 2012, São Carlos, SP. Anais... São Carlos: Embrapa Instrumentação: Embrapa Pecuária Sudeste, 2012. p. 61. Editores técnicos: João de Mendonça Naime, Lucimara Aparecida Forato, Maria Alice Martins, Ladislau Marcelino Rabello, Rubens Bernardes Filho. (Embrapa Instrumentação. Documentos, 56)| Biblioteca(s): Embrapa Instrumentação. |
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| 2. | | SPERANÇA, M. A.; SEGNIN, A.; MILORI, D. M. B. P.; OLIVEIRA, P. P. A. de. Determinação da textura de solo em uma cronossequência ocupada por diferentes sistemas de produção de bovinos de corte em pastagens. In: JORNADA CIENTÍFICA - EMBRAPA SÃO CARLOS, 4., 2012, São Carlos, SP. Anais... São Carlos: Embrapa Instrumentação: Embrapa Pecuária Sudeste, 2012. p. 61. (Embrapa Instrumentação. Documentos, 56).| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 4. | | OLIVEIRA, P. P. A.; RODRIGUES, P. H. M.; PRAES, M. F. F. M.; PEDROSO, A. de F.; OLIVEIRA, B. A.; SPERANÇA, M. A.; BOSI, C.; FERNANDES, F. A. Soil carbon dynamics in Brazilian Atlantic forest converted into pasture-based dairy production systems. Agronomy Journal, v. 113, n. 2, p. 1136–1149, 2021.| Biblioteca(s): Embrapa Pantanal; Embrapa Pecuária Sudeste. |
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| 5. | | SEGNINI, A.; OLIVEIRA, P. P. A.; OTAVIANI JUNIOR, P. L.; XAVIER, A. A. P.; FERREIRA, E. J.; SPERANÇA, M. A.; PEZZOPANE, J. R. M.; MILORI, M. B. P.; MARTIN NETO, L. Assessing soil carbon stocks and accumulation raies in Brazilian livestock production systems. Advances in Animal Biosciences, v. 4, n.2, p. 339, 2013.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 6. | | SEGNINI, A.; XAVIER, A. A. P.; OTAVIANI-JUNIOR, P. L.; FERREIRA, E. C.; WATANABE, A. M.; SPERANÇA, M. A.; NICOLODELLI, G.; BOAS, P. R. V.; OLIVEIRA, P. P. A.; MILORI, D. M. B. P. Physical and chemical matrix effects in soil carbon quantification using laser-induced breakdown spectroscopy. American Journal of Analytical Chemistry, Nova York, v. 5, n. 11, p. 722-729, 2014.| Biblioteca(s): Embrapa Instrumentação. |
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| 7. | | SEGNINI, A.; XAVIER, A. A. P.; OTAVIANI JÚNIOR, P. L.; FERREIRA, E. C.; WATANABE, A. M.; SPERANÇA, M. A.; NICOLODELLI, G.; VILLAS-BOAS, P. R.; OLIVEIRA, P. P. A.; MILORI, D. M. B. P. Physical and chemical matrix effects in soil carbon quantification using laser-induced breakdown spectroscopy. American Journal of Analytical Chemistry, v. 5, n. 11, p. 722-729, 2014.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| Registros recuperados : 7 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
16/12/2014 |
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Data da última atualização: |
16/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 4 |
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Autoria: |
SEGNINI, A.; XAVIER, A. A. P.; OTAVIANI JÚNIOR, P. L.; FERREIRA, E. C.; WATANABE, A. M.; SPERANÇA, M. A.; NICOLODELLI, G.; VILLAS-BOAS, P. R.; OLIVEIRA, P. P. A.; MILORI, D. M. B. P. |
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Afiliação: |
ALINE SEGNINI; ALFREDO AUGUSTO PEREIRA XAVIER, IQSC-USP/SÃO CARLOS,SP; PEDRO LUIS OTAVIANI JÚNIOR; EDILENE CRISTINA FERREIRA, UNESP/ARARAQUARA; ALEX MARCEL WATANABE; MARCO AURÉLIO SPERANÇA, ESTAGIÁRIO CPPSE/SÃO CARLOS; GUSTAVO NICOLODELLI; PAULINO RIBEIRO VILLAS-BOAS; PATRICIA PERONDI ANCHAO OLIVEIRA, CPPSE; DEBORA MARCONDES BASTOS PEREIRA, CNPDIA. |
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Título: |
Physical and chemical matrix effects in soil carbon quantification using laser-induced breakdown spectroscopy. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
American Journal of Analytical Chemistry, v. 5, n. 11, p. 722-729, 2014. |
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DOI: |
10.4236/ajac.2014.511080 |
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Idioma: |
Inglês |
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Conteúdo: |
Advanced field methods of carbon (C) analysis should now be capable of providing repetitive, sequential measurements for the evaluation of spatial and temporal variation at a scale that was previously unfeasible. Some spectroscopy techniques, such as laser-induced breakdown spectroscopy (LIBS), have portable features that may potentially lead to clean and rapid alternative approaches for this purpose. The goal of this study was to quantify the C content of soils with different textures and with high iron and aluminum concentrations using LIBS. LIBS emission spectra from soil pellets were captured, and the C content was estimated (emission line of C (I) at 193.03 nm) after spectral offset and aluminum spectral interference correction. This technique is highly portable and could be ideal for providing the soil C content in a heterogeneous experiment. Dry combustion was used as a reference method, and for calibration a conventional linear model was evaluated based on soil textural classes. The correlation between reference and LIBS values showed r = 0.86 for medium-textured soils and r = 0.93 for fine-textured soils. The data showed that better correlation and lower error (14%) values were found for the fine-textured LIBS model. The limit of detection (LOD) was found to be 0.32% for medium-textured soils and 0.13% for finetextured soils. The results indicated that LIBS quantification can be affected by the texture and chemical composition of soil. Signal treatment was shown to be very important for mitigation of these interferences and to improve quantification. MenosAdvanced field methods of carbon (C) analysis should now be capable of providing repetitive, sequential measurements for the evaluation of spatial and temporal variation at a scale that was previously unfeasible. Some spectroscopy techniques, such as laser-induced breakdown spectroscopy (LIBS), have portable features that may potentially lead to clean and rapid alternative approaches for this purpose. The goal of this study was to quantify the C content of soils with different textures and with high iron and aluminum concentrations using LIBS. LIBS emission spectra from soil pellets were captured, and the C content was estimated (emission line of C (I) at 193.03 nm) after spectral offset and aluminum spectral interference correction. This technique is highly portable and could be ideal for providing the soil C content in a heterogeneous experiment. Dry combustion was used as a reference method, and for calibration a conventional linear model was evaluated based on soil textural classes. The correlation between reference and LIBS values showed r = 0.86 for medium-textured soils and r = 0.93 for fine-textured soils. The data showed that better correlation and lower error (14%) values were found for the fine-textured LIBS model. The limit of detection (LOD) was found to be 0.32% for medium-textured soils and 0.13% for finetextured soils. The results indicated that LIBS quantification can be affected by the texture and chemical composition of soil. Signal treatment was shown to ... Mostrar Tudo |
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Palavras-Chave: |
Atomic Emission; Field-Based Method; Soil C Content; Soil Textural Classes; Spectral Correction. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/113850/1/PROCI-2104.00122.pdf
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Marc: |
LEADER 02538naa a2200301 a 4500
001 2002715
005 2023-03-16
008 2014 bl uuuu u00u1 u #d
024 7 $a10.4236/ajac.2014.511080$2DOI
100 1 $aSEGNINI, A.
245 $aPhysical and chemical matrix effects in soil carbon quantification using laser-induced breakdown spectroscopy.$h[electronic resource]
260 $c2014
520 $aAdvanced field methods of carbon (C) analysis should now be capable of providing repetitive, sequential measurements for the evaluation of spatial and temporal variation at a scale that was previously unfeasible. Some spectroscopy techniques, such as laser-induced breakdown spectroscopy (LIBS), have portable features that may potentially lead to clean and rapid alternative approaches for this purpose. The goal of this study was to quantify the C content of soils with different textures and with high iron and aluminum concentrations using LIBS. LIBS emission spectra from soil pellets were captured, and the C content was estimated (emission line of C (I) at 193.03 nm) after spectral offset and aluminum spectral interference correction. This technique is highly portable and could be ideal for providing the soil C content in a heterogeneous experiment. Dry combustion was used as a reference method, and for calibration a conventional linear model was evaluated based on soil textural classes. The correlation between reference and LIBS values showed r = 0.86 for medium-textured soils and r = 0.93 for fine-textured soils. The data showed that better correlation and lower error (14%) values were found for the fine-textured LIBS model. The limit of detection (LOD) was found to be 0.32% for medium-textured soils and 0.13% for finetextured soils. The results indicated that LIBS quantification can be affected by the texture and chemical composition of soil. Signal treatment was shown to be very important for mitigation of these interferences and to improve quantification.
653 $aAtomic Emission
653 $aField-Based Method
653 $aSoil C Content
653 $aSoil Textural Classes
653 $aSpectral Correction
700 1 $aXAVIER, A. A. P.
700 1 $aOTAVIANI JÚNIOR, P. L.
700 1 $aFERREIRA, E. C.
700 1 $aWATANABE, A. M.
700 1 $aSPERANÇA, M. A.
700 1 $aNICOLODELLI, G.
700 1 $aVILLAS-BOAS, P. R.
700 1 $aOLIVEIRA, P. P. A.
700 1 $aMILORI, D. M. B. P.
773 $tAmerican Journal of Analytical Chemistry$gv. 5, n. 11, p. 722-729, 2014.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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