Green approaches with amino acids-based deep eutectic solvents (AADES) for determining As in medicinal herbs by ICP-MS
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 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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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 |
|
_version_ |
1799964660101808128 |