High enhancement of macro and micronutrients quantification in Cajuína by ICP OES using ultrasound and multivariate analysis.
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1158970 |
Resumo: | A fast, safe, simple, and low-cost analytical method was developed for the determination of macro and microelements in Cajuína samples from Brazil combining UAE and ICP OES. A multiplexed approach using experimental designs was applied for method optimization. The optimal conditions were using 4 mL of 8 mol L−1 HNO3 and 1.5 mL H2O2 under 30 min of sonication. The detectability of the method has been improved. The precision was RSD < 5.5% while the accuracy of the method ranged from 87% to 108% as well as the results were in agreement with the reference method. The analysis of 38 samples of Cajuína juices presented a mean of Ca, Cu, Fe, K, Mg, Na, P, S and Zn of 8.70, 0.10, 0.97, 1223, 112, 60.1, 83.9, 65.1, and 0.99 mg L−1. So, the proposed analytical method demonstrated feasibility for the simultaneous determination of mineral nutrients in similar matrices as beverage. |
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High enhancement of macro and micronutrients quantification in Cajuína by ICP OES using ultrasound and multivariate analysis.Ultrasound-assisted extractionFactorial experimental design and response surface methodologyICP OESCajuínaA fast, safe, simple, and low-cost analytical method was developed for the determination of macro and microelements in Cajuína samples from Brazil combining UAE and ICP OES. A multiplexed approach using experimental designs was applied for method optimization. The optimal conditions were using 4 mL of 8 mol L−1 HNO3 and 1.5 mL H2O2 under 30 min of sonication. The detectability of the method has been improved. The precision was RSD < 5.5% while the accuracy of the method ranged from 87% to 108% as well as the results were in agreement with the reference method. The analysis of 38 samples of Cajuína juices presented a mean of Ca, Cu, Fe, K, Mg, Na, P, S and Zn of 8.70, 0.10, 0.97, 1223, 112, 60.1, 83.9, 65.1, and 0.99 mg L−1. So, the proposed analytical method demonstrated feasibility for the simultaneous determination of mineral nutrients in similar matrices as beverage.TIAGO LINUS SILVA COELHO, Federal University of Piauí; DARLISSON SLAG NERI SILVA, Federal University of Piauí; LUIZ BRITO DE SOUZA FILHO, Federal University of Piauí; JARDEL MENEZES ROCHA, Federal University of Piauí; JULYMAR MARCANO DE HIGUERA, Federal University of São Carlos; IVERO PITA DE SÁ, Federal University of São Carlos; RAIMUNDO RAFAEL GAMELA, Higher Polytechnic Institute of Gaza; ANA RITA DE ARAUJO NOGUEIRA, CPPSE; CÍCERO ALVES LOPES JÚNIOR, Federal University of Piauí; EDIVAN CARVALHO VIEIRA, Federal University of Piauí.COELHO, T. L. S.SILVA, D. S. N.SOUZA FILHO, L. B. DEROCHA, J. M.MARCANO DE HIGUERA, J.SÁ, I. P. DEGAMELA, R. R.NOGUEIRA, A. R. de A.LOPES JÚNIOR, C. A.VIEIRA, E. C.2023-11-30T19:32:59Z2023-11-30T19:32:59Z2023-11-302023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article8 p.Food Chemistry Advances, v. 2, 2023.http://www.alice.cnptia.embrapa.br/alice/handle/doc/115897010.1016/j.focha.2023.100265enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-11-30T19:32:59Zoai:www.alice.cnptia.embrapa.br:doc/1158970Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-11-30T19:32:59Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
High enhancement of macro and micronutrients quantification in Cajuína by ICP OES using ultrasound and multivariate analysis. |
title |
High enhancement of macro and micronutrients quantification in Cajuína by ICP OES using ultrasound and multivariate analysis. |
spellingShingle |
High enhancement of macro and micronutrients quantification in Cajuína by ICP OES using ultrasound and multivariate analysis. COELHO, T. L. S. Ultrasound-assisted extraction Factorial experimental design and response surface methodology ICP OES Cajuína |
title_short |
High enhancement of macro and micronutrients quantification in Cajuína by ICP OES using ultrasound and multivariate analysis. |
title_full |
High enhancement of macro and micronutrients quantification in Cajuína by ICP OES using ultrasound and multivariate analysis. |
title_fullStr |
High enhancement of macro and micronutrients quantification in Cajuína by ICP OES using ultrasound and multivariate analysis. |
title_full_unstemmed |
High enhancement of macro and micronutrients quantification in Cajuína by ICP OES using ultrasound and multivariate analysis. |
title_sort |
High enhancement of macro and micronutrients quantification in Cajuína by ICP OES using ultrasound and multivariate analysis. |
author |
COELHO, T. L. S. |
author_facet |
COELHO, T. L. S. SILVA, D. S. N. SOUZA FILHO, L. B. DE ROCHA, J. M. MARCANO DE HIGUERA, J. SÁ, I. P. DE GAMELA, R. R. NOGUEIRA, A. R. de A. LOPES JÚNIOR, C. A. VIEIRA, E. C. |
author_role |
author |
author2 |
SILVA, D. S. N. SOUZA FILHO, L. B. DE ROCHA, J. M. MARCANO DE HIGUERA, J. SÁ, I. P. DE GAMELA, R. R. NOGUEIRA, A. R. de A. LOPES JÚNIOR, C. A. VIEIRA, E. C. |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
TIAGO LINUS SILVA COELHO, Federal University of Piauí; DARLISSON SLAG NERI SILVA, Federal University of Piauí; LUIZ BRITO DE SOUZA FILHO, Federal University of Piauí; JARDEL MENEZES ROCHA, Federal University of Piauí; JULYMAR MARCANO DE HIGUERA, Federal University of São Carlos; IVERO PITA DE SÁ, Federal University of São Carlos; RAIMUNDO RAFAEL GAMELA, Higher Polytechnic Institute of Gaza; ANA RITA DE ARAUJO NOGUEIRA, CPPSE; CÍCERO ALVES LOPES JÚNIOR, Federal University of Piauí; EDIVAN CARVALHO VIEIRA, Federal University of Piauí. |
dc.contributor.author.fl_str_mv |
COELHO, T. L. S. SILVA, D. S. N. SOUZA FILHO, L. B. DE ROCHA, J. M. MARCANO DE HIGUERA, J. SÁ, I. P. DE GAMELA, R. R. NOGUEIRA, A. R. de A. LOPES JÚNIOR, C. A. VIEIRA, E. C. |
dc.subject.por.fl_str_mv |
Ultrasound-assisted extraction Factorial experimental design and response surface methodology ICP OES Cajuína |
topic |
Ultrasound-assisted extraction Factorial experimental design and response surface methodology ICP OES Cajuína |
description |
A fast, safe, simple, and low-cost analytical method was developed for the determination of macro and microelements in Cajuína samples from Brazil combining UAE and ICP OES. A multiplexed approach using experimental designs was applied for method optimization. The optimal conditions were using 4 mL of 8 mol L−1 HNO3 and 1.5 mL H2O2 under 30 min of sonication. The detectability of the method has been improved. The precision was RSD < 5.5% while the accuracy of the method ranged from 87% to 108% as well as the results were in agreement with the reference method. The analysis of 38 samples of Cajuína juices presented a mean of Ca, Cu, Fe, K, Mg, Na, P, S and Zn of 8.70, 0.10, 0.97, 1223, 112, 60.1, 83.9, 65.1, and 0.99 mg L−1. So, the proposed analytical method demonstrated feasibility for the simultaneous determination of mineral nutrients in similar matrices as beverage. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-11-30T19:32:59Z 2023-11-30T19:32:59Z 2023-11-30 2023 |
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 |
Food Chemistry Advances, v. 2, 2023. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1158970 10.1016/j.focha.2023.100265 |
identifier_str_mv |
Food Chemistry Advances, v. 2, 2023. 10.1016/j.focha.2023.100265 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1158970 |
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.format.none.fl_str_mv |
8 p. |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1817695687833288705 |