Green approaches with amino acids-based deep eutectic solvents (AADES) for determining As in medicinal herbs by ICP-MS

Detalhes bibliográficos
Autor(a) principal: Guimarães, Taciana G.S. [UNESP]
Data de Publicação: 2023
Outros Autores: Costa, Floriatan Santos, Menezes, Iohanna M.N.R., Santana, Ana P.R., Andrade, Daniel F., Oliveira, Andrea, Amaral, Clarice D.B., Gonzalez, Mario H. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.molliq.2023.121801
http://hdl.handle.net/11449/247198
Resumo: In this work, an innovative ultrasound-assisted matrix solid-phase dispersion (UA-MSPD) method and microwave-assisted extraction (MAE) were applied with amino acids-based deep eutectic solvents (AADES) for the extraction of arsenic (As) from medicinal herbs. Multivariate optimization by Doehlert design (DD) was performed to determine the optimal experimental conditions. The effects of temperature (TP), time (TM), and sample-solvent ratio (SSR) were evaluated, and the optimized conditions were 50 °C, 60 min, and 10:1 mg mL−1 for UA-MSPD and 100 °C, 40 min, and 40:1 mg mL−1 for MAE, employing AADES 2 (β-alanine, citric acid, and water), where the hydroxyl and carboxyl groups of the citric acid structure favored formation of a chelate complex with the analyte. AADES 3 (β-alanine, xylitol, and water) was effective for MAE, while AADES 1 (β-alanine, malic acid, and water) proved to be inefficient for As extraction. The parameters of the analytical methods were evaluated using certified reference materials. The accuracy, based on percentage recovery, was in the range 77–101 %, while the limits of detection and quantification were in the ranges 0.010–0.039 mg kg−1 and 0.011–0.130 mg kg−1, respectively. The analytical curves presented R2 > 0.99. The proposed methods were shown to be environmentally friendly, based on the Analytical Eco-Scale and RGB 12 procedures. Both optimized methods were applied for the determination of As in commercial medicinal herbs (0.059–0.101 mg kg−1), with the values obtained being within the maximum daily intake limit established by the World Health Organization (WHO). It should be noted that there are no previous reports in the literature concerning the application of a sample preparation method using AADES, employing their solid precursors, with no requirement for prior solvent synthesis, as proposed here in the case of the UA-MSPD method.
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spelling Green approaches with amino acids-based deep eutectic solvents (AADES) for determining As in medicinal herbs by ICP-MSDeep eutectic solventGreen analytical chemistryMicrowave-assisted extraction (MAE)Multivariate optimizationUltrasound-assisted matrix solid-phase dispersion (UA-MSPD)In this work, an innovative ultrasound-assisted matrix solid-phase dispersion (UA-MSPD) method and microwave-assisted extraction (MAE) were applied with amino acids-based deep eutectic solvents (AADES) for the extraction of arsenic (As) from medicinal herbs. Multivariate optimization by Doehlert design (DD) was performed to determine the optimal experimental conditions. The effects of temperature (TP), time (TM), and sample-solvent ratio (SSR) were evaluated, and the optimized conditions were 50 °C, 60 min, and 10:1 mg mL−1 for UA-MSPD and 100 °C, 40 min, and 40:1 mg mL−1 for MAE, employing AADES 2 (β-alanine, citric acid, and water), where the hydroxyl and carboxyl groups of the citric acid structure favored formation of a chelate complex with the analyte. AADES 3 (β-alanine, xylitol, and water) was effective for MAE, while AADES 1 (β-alanine, malic acid, and water) proved to be inefficient for As extraction. The parameters of the analytical methods were evaluated using certified reference materials. The accuracy, based on percentage recovery, was in the range 77–101 %, while the limits of detection and quantification were in the ranges 0.010–0.039 mg kg−1 and 0.011–0.130 mg kg−1, respectively. The analytical curves presented R2 > 0.99. The proposed methods were shown to be environmentally friendly, based on the Analytical Eco-Scale and RGB 12 procedures. Both optimized methods were applied for the determination of As in commercial medicinal herbs (0.059–0.101 mg kg−1), with the values obtained being within the maximum daily intake limit established by the World Health Organization (WHO). It should be noted that there are no previous reports in the literature concerning the application of a sample preparation method using AADES, employing their solid precursors, with no requirement for prior solvent synthesis, as proposed here in the case of the UA-MSPD method.São Paulo State University (UNESP) National Institute for Alternative Technologies of Detection Toxicological Evaluation and Removal of Micropollutants and Radioactives (INCT-DATREM) Department of Chemistry and Environmental Science, SPFederal University of Paraná Department of Chemistry, PRFederal University of Minas Gerais Department of Chemistry Belo Horizonte, MGGroup of Applied Instrumental Analysis Department of Chemistry Federal University of São Carlos, SPSão Paulo State University (UNESP) National Institute for Alternative Technologies of Detection Toxicological Evaluation and Removal of Micropollutants and Radioactives (INCT-DATREM) Department of Chemistry and Environmental Science, SPUniversidade Estadual Paulista (UNESP)Federal University of ParanáUniversidade Federal de Minas Gerais (UFMG)Universidade Federal de São Carlos (UFSCar)Guimarães, Taciana G.S. [UNESP]Costa, Floriatan SantosMenezes, Iohanna M.N.R.Santana, Ana P.R.Andrade, Daniel F.Oliveira, AndreaAmaral, Clarice D.B.Gonzalez, Mario H. [UNESP]2023-07-29T13:08:58Z2023-07-29T13:08:58Z2023-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.molliq.2023.121801Journal of Molecular Liquids, v. 381.0167-7322http://hdl.handle.net/11449/24719810.1016/j.molliq.2023.1218012-s2.0-85152902603Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Molecular Liquidsinfo:eu-repo/semantics/openAccess2023-07-29T13:08:58Zoai:repositorio.unesp.br:11449/247198Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T13:08:58Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Green approaches with amino acids-based deep eutectic solvents (AADES) for determining As in medicinal herbs by ICP-MS
title Green approaches with amino acids-based deep eutectic solvents (AADES) for determining As in medicinal herbs by ICP-MS
spellingShingle Green approaches with amino acids-based deep eutectic solvents (AADES) for determining As in medicinal herbs by ICP-MS
Guimarães, Taciana G.S. [UNESP]
Deep eutectic solvent
Green analytical chemistry
Microwave-assisted extraction (MAE)
Multivariate optimization
Ultrasound-assisted matrix solid-phase dispersion (UA-MSPD)
title_short Green approaches with amino acids-based deep eutectic solvents (AADES) for determining As in medicinal herbs by ICP-MS
title_full Green approaches with amino acids-based deep eutectic solvents (AADES) for determining As in medicinal herbs by ICP-MS
title_fullStr Green approaches with amino acids-based deep eutectic solvents (AADES) for determining As in medicinal herbs by ICP-MS
title_full_unstemmed Green approaches with amino acids-based deep eutectic solvents (AADES) for determining As in medicinal herbs by ICP-MS
title_sort Green approaches with amino acids-based deep eutectic solvents (AADES) for determining As in medicinal herbs by ICP-MS
author Guimarães, Taciana G.S. [UNESP]
author_facet Guimarães, Taciana G.S. [UNESP]
Costa, Floriatan Santos
Menezes, Iohanna M.N.R.
Santana, Ana P.R.
Andrade, Daniel F.
Oliveira, Andrea
Amaral, Clarice D.B.
Gonzalez, Mario H. [UNESP]
author_role author
author2 Costa, Floriatan Santos
Menezes, Iohanna M.N.R.
Santana, Ana P.R.
Andrade, Daniel F.
Oliveira, Andrea
Amaral, Clarice D.B.
Gonzalez, Mario H. [UNESP]
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Federal University of Paraná
Universidade Federal de Minas Gerais (UFMG)
Universidade Federal de São Carlos (UFSCar)
dc.contributor.author.fl_str_mv Guimarães, Taciana G.S. [UNESP]
Costa, Floriatan Santos
Menezes, Iohanna M.N.R.
Santana, Ana P.R.
Andrade, Daniel F.
Oliveira, Andrea
Amaral, Clarice D.B.
Gonzalez, Mario H. [UNESP]
dc.subject.por.fl_str_mv Deep eutectic solvent
Green analytical chemistry
Microwave-assisted extraction (MAE)
Multivariate optimization
Ultrasound-assisted matrix solid-phase dispersion (UA-MSPD)
topic Deep eutectic solvent
Green analytical chemistry
Microwave-assisted extraction (MAE)
Multivariate optimization
Ultrasound-assisted matrix solid-phase dispersion (UA-MSPD)
description In this work, an innovative ultrasound-assisted matrix solid-phase dispersion (UA-MSPD) method and microwave-assisted extraction (MAE) were applied with amino acids-based deep eutectic solvents (AADES) for the extraction of arsenic (As) from medicinal herbs. Multivariate optimization by Doehlert design (DD) was performed to determine the optimal experimental conditions. The effects of temperature (TP), time (TM), and sample-solvent ratio (SSR) were evaluated, and the optimized conditions were 50 °C, 60 min, and 10:1 mg mL−1 for UA-MSPD and 100 °C, 40 min, and 40:1 mg mL−1 for MAE, employing AADES 2 (β-alanine, citric acid, and water), where the hydroxyl and carboxyl groups of the citric acid structure favored formation of a chelate complex with the analyte. AADES 3 (β-alanine, xylitol, and water) was effective for MAE, while AADES 1 (β-alanine, malic acid, and water) proved to be inefficient for As extraction. The parameters of the analytical methods were evaluated using certified reference materials. The accuracy, based on percentage recovery, was in the range 77–101 %, while the limits of detection and quantification were in the ranges 0.010–0.039 mg kg−1 and 0.011–0.130 mg kg−1, respectively. The analytical curves presented R2 > 0.99. The proposed methods were shown to be environmentally friendly, based on the Analytical Eco-Scale and RGB 12 procedures. Both optimized methods were applied for the determination of As in commercial medicinal herbs (0.059–0.101 mg kg−1), with the values obtained being within the maximum daily intake limit established by the World Health Organization (WHO). It should be noted that there are no previous reports in the literature concerning the application of a sample preparation method using AADES, employing their solid precursors, with no requirement for prior solvent synthesis, as proposed here in the case of the UA-MSPD method.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T13:08:58Z
2023-07-29T13:08:58Z
2023-07-01
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://dx.doi.org/10.1016/j.molliq.2023.121801
Journal of Molecular Liquids, v. 381.
0167-7322
http://hdl.handle.net/11449/247198
10.1016/j.molliq.2023.121801
2-s2.0-85152902603
url http://dx.doi.org/10.1016/j.molliq.2023.121801
http://hdl.handle.net/11449/247198
identifier_str_mv Journal of Molecular Liquids, v. 381.
0167-7322
10.1016/j.molliq.2023.121801
2-s2.0-85152902603
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Molecular Liquids
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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