Application of multivariate optimization in the development of an ultrasound-assisted extraction procedure for multielemental determination in bean seeds samples using ICP OES

Detalhes bibliográficos
Autor(a) principal: Santos, Wagna Piler Carvalho
Data de Publicação: 2009
Outros Autores: Castro, Jacira Teixeira, Bezerra, Marcos de Almeida, Fernandes, Andréa Pires, Ferreira, Sergio Luis Costa, Korn, Maria das Graças Andrade
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://www.repositorio.ufba.br/ri/handle/ri/5822
Resumo: Acesso restrito: Texto completo. p. 153-158
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spelling Santos, Wagna Piler CarvalhoCastro, Jacira TeixeiraBezerra, Marcos de AlmeidaFernandes, Andréa PiresFerreira, Sergio Luis CostaKorn, Maria das Graças AndradeSantos, Wagna Piler CarvalhoCastro, Jacira TeixeiraBezerra, Marcos de AlmeidaFernandes, Andréa PiresFerreira, Sergio Luis CostaKorn, Maria das Graças Andrade2012-05-10T12:33:58Z20090026-265Xhttp://www.repositorio.ufba.br/ri/handle/ri/5822v. 91, n. 2Acesso restrito: Texto completo. p. 153-158In this paper, multivariate optimization was applied for the development of an ultrasound-assisted multielemental extraction procedure for analysis of bean samples by inductively coupled plasma optical emission spectrometry. For this procedure, powdered samples were treated with an acid mixture and submitted to ultrasound energy for extracting the target elements (Ba, Ca, Cu, Fe, K, Mg, Mn, Sr and Zn). Centroid simplex mixture design was used for optimize the acid proportions (nitric, acetic and chloride acid)and Box Behnken design was applied for optimize the process variables (particle size, final concentration of extracting solution and sonication time) after mixture optimization. Iron had not presented quantitative extractions and it was excluded from final samples analysis. The developed method presents the follow limits of quantification in μg g−1: Ba (0.90); Ca (5.2); Cu (4.0); K (0.90); Mg (1.4); Mn (0.22); Sr (0.25) and Zn (4.0). Accuracy was accessed by comparison of determined concentration with the values obtained by the microwave digestion procedure. The proposed method was applied toward the determination of elemental composition in bean samples collected in the country zone from Jequié city located on the Bahia State, Brazil.The trace elements content ranged from 0.21 to 3.04, 3.84 to 10.8, 0.60 to 5.23, 31.0 to 46.5 and 10.8 to 19.6 μg g−1 Ba, Cu, Sr, Zn, Mn, respectively. The major elements content ranged from 0.0418 to 0.0877, 0.109 to 0.153 and 1.30 to 1.56% (w/w) Ca, Mg and K, respectively.Submitted by JURANDI DE SOUZA SILVA (jssufba@hotmail.com) on 2012-05-10T12:33:58Z No. of bitstreams: 1 __ac.els-cdn.com_S002626...ef4ccc69a278e141ebc56d6a30b1b.pdf: 341261 bytes, checksum: 7c37904c6082876a7a4d94c14606e090 (MD5)Made available in DSpace on 2012-05-10T12:33:58Z (GMT). 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dc.title.pt_BR.fl_str_mv Application of multivariate optimization in the development of an ultrasound-assisted extraction procedure for multielemental determination in bean seeds samples using ICP OES
dc.title.alternative.pt_BR.fl_str_mv Microchemical Journal
title Application of multivariate optimization in the development of an ultrasound-assisted extraction procedure for multielemental determination in bean seeds samples using ICP OES
spellingShingle Application of multivariate optimization in the development of an ultrasound-assisted extraction procedure for multielemental determination in bean seeds samples using ICP OES
Santos, Wagna Piler Carvalho
Box–Behnken design
Mixture design
Ultra-sonic extraction
Bean
Elemental composition
ICP OES
title_short Application of multivariate optimization in the development of an ultrasound-assisted extraction procedure for multielemental determination in bean seeds samples using ICP OES
title_full Application of multivariate optimization in the development of an ultrasound-assisted extraction procedure for multielemental determination in bean seeds samples using ICP OES
title_fullStr Application of multivariate optimization in the development of an ultrasound-assisted extraction procedure for multielemental determination in bean seeds samples using ICP OES
title_full_unstemmed Application of multivariate optimization in the development of an ultrasound-assisted extraction procedure for multielemental determination in bean seeds samples using ICP OES
title_sort Application of multivariate optimization in the development of an ultrasound-assisted extraction procedure for multielemental determination in bean seeds samples using ICP OES
author Santos, Wagna Piler Carvalho
author_facet Santos, Wagna Piler Carvalho
Castro, Jacira Teixeira
Bezerra, Marcos de Almeida
Fernandes, Andréa Pires
Ferreira, Sergio Luis Costa
Korn, Maria das Graças Andrade
author_role author
author2 Castro, Jacira Teixeira
Bezerra, Marcos de Almeida
Fernandes, Andréa Pires
Ferreira, Sergio Luis Costa
Korn, Maria das Graças Andrade
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Santos, Wagna Piler Carvalho
Castro, Jacira Teixeira
Bezerra, Marcos de Almeida
Fernandes, Andréa Pires
Ferreira, Sergio Luis Costa
Korn, Maria das Graças Andrade
Santos, Wagna Piler Carvalho
Castro, Jacira Teixeira
Bezerra, Marcos de Almeida
Fernandes, Andréa Pires
Ferreira, Sergio Luis Costa
Korn, Maria das Graças Andrade
dc.subject.por.fl_str_mv Box–Behnken design
Mixture design
Ultra-sonic extraction
Bean
Elemental composition
ICP OES
topic Box–Behnken design
Mixture design
Ultra-sonic extraction
Bean
Elemental composition
ICP OES
description Acesso restrito: Texto completo. p. 153-158
publishDate 2009
dc.date.issued.fl_str_mv 2009
dc.date.accessioned.fl_str_mv 2012-05-10T12:33:58Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.repositorio.ufba.br/ri/handle/ri/5822
dc.identifier.issn.none.fl_str_mv 0026-265X
dc.identifier.number.pt_BR.fl_str_mv v. 91, n. 2
identifier_str_mv 0026-265X
v. 91, n. 2
url http://www.repositorio.ufba.br/ri/handle/ri/5822
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.pt_BR.fl_str_mv DOI: 10.1016/j.microc.2008.10.001
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFBA
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