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Registro Completo |
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
07/07/2021 |
Data da última atualização: |
28/09/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SILVA, A. B. S. do; SÁ, I. P. de; MARCANO DE HIGUERA, J.; NOGUEIRA, A. R. de A. |
Afiliação: |
ANA BEATRIZ SANTOS DA SILVA, UFSCAR; ÍVERO PITA DE SÁ, UFSCAR; JULYMAR MARCANO DE HIGUERA, UFSCAR; ANA RITA DE ARAUJO NOGUEIRA, CPPSE. |
Título: |
Feasibility of dispersive liquid-liquid microextraction for molybdenum determination in lamb meat by MIP OES. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Food Analytical Methods, v.14, 2021. |
Páginas: |
p.496-502. |
ISSN: |
1936-976X |
DOI: |
https://doi.org/10.1007/s12161-020-01898-x |
Idioma: |
Inglês |
Conteúdo: |
The dispersive liquid?liquid microextraction (DLLME) was evaluated as a strategy to improve the MIP OES sensitivity for molybdenum determination in lamb meat. Initially, the dispersive (methanol) and extracting (tetrachloromethane) solvents were selected based on a mixture design. The best results were achieved with methanol and carbon tetrachloride as dispersive and extracting solvent, respectively. The operational parameters, such as pH, volume of dispersive and extractant solvents, and complexing agent concentration (8-hydroxyquinoline) were optimized using a Box-Behnken design. The optimal conditions were established as pH 3.8, 90 uL of carbon tetrachloride, 480 uL of methanol, and 1.09 mmol L-1 of 8-hydroxyquinoline. Besides, the use of external gas module control (EGCM) was explored to minimize the matrix effects caused by the organic solvent introduction. The accuracy of the proposed method was estimated employing a certificate reference material (bovine liver, NIST 1577c) and the obtained recovery was 92%. The limit of detection was found to be 0.20 ug g-1, and the enrichment factor was 4.5. The DLLME-MIP OES was applied for six samples of lamb meat, and the results compared to ICP-MS presented no statistical difference. Therefore, the proposed method showed satisfactory accuracy and suitable sensitivity. |
Palavras-Chave: |
DLLME; MIP OES; Sample preparation; Trace analysis. |
Thesaurus Nal: |
Microextraction. |
Categoria do assunto: |
W Química e Física |
Marc: |
LEADER 02099naa a2200253 a 4500 001 2132839 005 2021-09-28 008 2021 bl uuuu u00u1 u #d 022 $a1936-976X 024 7 $ahttps://doi.org/10.1007/s12161-020-01898-x$2DOI 100 1 $aSILVA, A. B. S. do 245 $aFeasibility of dispersive liquid-liquid microextraction for molybdenum determination in lamb meat by MIP OES.$h[electronic resource] 260 $c2021 300 $ap.496-502. 520 $aThe dispersive liquid?liquid microextraction (DLLME) was evaluated as a strategy to improve the MIP OES sensitivity for molybdenum determination in lamb meat. Initially, the dispersive (methanol) and extracting (tetrachloromethane) solvents were selected based on a mixture design. The best results were achieved with methanol and carbon tetrachloride as dispersive and extracting solvent, respectively. The operational parameters, such as pH, volume of dispersive and extractant solvents, and complexing agent concentration (8-hydroxyquinoline) were optimized using a Box-Behnken design. The optimal conditions were established as pH 3.8, 90 uL of carbon tetrachloride, 480 uL of methanol, and 1.09 mmol L-1 of 8-hydroxyquinoline. Besides, the use of external gas module control (EGCM) was explored to minimize the matrix effects caused by the organic solvent introduction. The accuracy of the proposed method was estimated employing a certificate reference material (bovine liver, NIST 1577c) and the obtained recovery was 92%. The limit of detection was found to be 0.20 ug g-1, and the enrichment factor was 4.5. The DLLME-MIP OES was applied for six samples of lamb meat, and the results compared to ICP-MS presented no statistical difference. Therefore, the proposed method showed satisfactory accuracy and suitable sensitivity. 650 $aMicroextraction 653 $aDLLME 653 $aMIP OES 653 $aSample preparation 653 $aTrace analysis 700 1 $aSÁ, I. P. de 700 1 $aMARCANO DE HIGUERA, J. 700 1 $aNOGUEIRA, A. R. de A. 773 $tFood Analytical Methods$gv.14, 2021.
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