| |
|
|
| Registros recuperados : 1 | |
| 1. |  | PERIPOLLI, E.; REIMER, C.; HA, NGOC-THUY; GEIBEL. J.; MACHADO, M. A.; PANETTO, J. C. do C.; EGITO, A. A. do; BALDI, F.; SIMIANER, H.; SILVA, M. V. G. B. Genome-wide detection of signatures of selection in indicine and Brazilian locally adapted taurine cattle breeds using wholegenome re-sequencing data. BMC Genomics, v. 21, article 624, 2020.| Biblioteca(s): Embrapa Gado de Corte; Embrapa Gado de Leite. |
|    |
| Registros recuperados : 1 | |
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
|
Data corrente: |
16/12/2014 |
|
Data da última atualização: |
16/03/2023 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
B - 4 |
|
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. |
|
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. |
|
Título: |
Physical and chemical matrix effects in soil carbon quantification using laser-induced breakdown spectroscopy. |
|
Ano de publicação: |
2014 |
|
Fonte/Imprenta: |
American Journal of Analytical Chemistry, v. 5, n. 11, p. 722-729, 2014. |
|
DOI: |
10.4236/ajac.2014.511080 |
|
Idioma: |
Inglês |
|
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 |
|
Palavras-Chave: |
Atomic Emission; Field-Based Method; Soil C Content; Soil Textural Classes; Spectral Correction. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/113850/1/PROCI-2104.00122.pdf
|
|
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.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
