Assessing the greenness of optimized ultrasound and infrared assisted extraction through analytical metrics

Autores
Cora Jofré, Florencia; Azcarate, Silvana Mariela; Camiña, José Manuel; Pacheco, Pablo Hugo; Savio, Marianela
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Sample preparation involves a critical step due to the high organic matter content that implies its decomposition, prior to analysis. Two alternative analytical strategies for sample preparation employing diluted HNO3 were optimized and compared, assisted by ultrasound (USAE) and infrared (IRAE) radiation. Multielement determination was achieved by MIP OES. For optimization of experimental conditions, a central composite design centered on the faces was carried out, considering four and five factors for IRAE and USAE, respectively. Dissolved organic carbon (DOC), residual acidity (RA) and solid residue (SR), significantly influence the responses to be evaluated. The response surface methodology was implemented to find the best combination of mass, diluted reagents (HNO3 and H2O2), time and temperature in order to minimize responses for elemental extraction in animal feed samples. The optimized experimental conditions: 500 mg of sample mass, 60°C of bath temperature, 30 min of extraction time, 2 mol L−1 HNO3 and 27% H2O2, were used to validate the USAE procedure. The conditions established for IRAE were 500 mg of the swine feed sample, followed by the addition of 2 mL of 2 mol L−1 HNO3 and 23% H2O2, irradiating for 23 min. Recoveries ranged from 81 to 114%, with good precision (RSD < 4%). Using five index tools the greenness of the proposed methods was demonstrated. According to IRAE simplicity, reliability, fast and easy to implement, it was successfully applied to the determination of Ca, Cu, Fe, K, Mg, Mn, P and Zn in agrifood samples.
Fil: Cora Jofré, Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
Fil: Azcarate, Silvana Mariela. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
Fil: Camiña, José Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
Fil: Pacheco, Pablo Hugo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; Argentina
Fil: Savio, Marianela. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
Materia
Green tools
Infrared assisted extraction
Ultrasound assisted extraction
Microwave induced plasma atomic emission spectrometry
Multivariate optimization
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/232497
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Assessing the greenness of optimized ultrasound and infrared assisted extraction through analytical metricsCora Jofré, FlorenciaAzcarate, Silvana MarielaCamiña, José ManuelPacheco, Pablo HugoSavio, MarianelaGreen toolsInfrared assisted extractionUltrasound assisted extractionMicrowave induced plasma atomic emission spectrometryMultivariate optimizationhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Sample preparation involves a critical step due to the high organic matter content that implies its decomposition, prior to analysis. Two alternative analytical strategies for sample preparation employing diluted HNO3 were optimized and compared, assisted by ultrasound (USAE) and infrared (IRAE) radiation. Multielement determination was achieved by MIP OES. For optimization of experimental conditions, a central composite design centered on the faces was carried out, considering four and five factors for IRAE and USAE, respectively. Dissolved organic carbon (DOC), residual acidity (RA) and solid residue (SR), significantly influence the responses to be evaluated. The response surface methodology was implemented to find the best combination of mass, diluted reagents (HNO3 and H2O2), time and temperature in order to minimize responses for elemental extraction in animal feed samples. The optimized experimental conditions: 500 mg of sample mass, 60°C of bath temperature, 30 min of extraction time, 2 mol L−1 HNO3 and 27% H2O2, were used to validate the USAE procedure. The conditions established for IRAE were 500 mg of the swine feed sample, followed by the addition of 2 mL of 2 mol L−1 HNO3 and 23% H2O2, irradiating for 23 min. Recoveries ranged from 81 to 114%, with good precision (RSD < 4%). Using five index tools the greenness of the proposed methods was demonstrated. According to IRAE simplicity, reliability, fast and easy to implement, it was successfully applied to the determination of Ca, Cu, Fe, K, Mg, Mn, P and Zn in agrifood samples.Fil: Cora Jofré, Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; ArgentinaFil: Azcarate, Silvana Mariela. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; ArgentinaFil: Camiña, José Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; ArgentinaFil: Pacheco, Pablo Hugo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; ArgentinaFil: Savio, Marianela. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; ArgentinaElsevier2023-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/232497Cora Jofré, Florencia; Azcarate, Silvana Mariela; Camiña, José Manuel; Pacheco, Pablo Hugo; Savio, Marianela; Assessing the greenness of optimized ultrasound and infrared assisted extraction through analytical metrics; Elsevier; Advances in Sample Preparation; 5; 2-2023; 1-342772-5820CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2772582023000049?via%3Dihubinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.sampre.2023.100054info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:00:05Zoai:ri.conicet.gov.ar:11336/232497instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:00:06.017CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Assessing the greenness of optimized ultrasound and infrared assisted extraction through analytical metrics
title Assessing the greenness of optimized ultrasound and infrared assisted extraction through analytical metrics
spellingShingle Assessing the greenness of optimized ultrasound and infrared assisted extraction through analytical metrics
Cora Jofré, Florencia
Green tools
Infrared assisted extraction
Ultrasound assisted extraction
Microwave induced plasma atomic emission spectrometry
Multivariate optimization
title_short Assessing the greenness of optimized ultrasound and infrared assisted extraction through analytical metrics
title_full Assessing the greenness of optimized ultrasound and infrared assisted extraction through analytical metrics
title_fullStr Assessing the greenness of optimized ultrasound and infrared assisted extraction through analytical metrics
title_full_unstemmed Assessing the greenness of optimized ultrasound and infrared assisted extraction through analytical metrics
title_sort Assessing the greenness of optimized ultrasound and infrared assisted extraction through analytical metrics
dc.creator.none.fl_str_mv Cora Jofré, Florencia
Azcarate, Silvana Mariela
Camiña, José Manuel
Pacheco, Pablo Hugo
Savio, Marianela
author Cora Jofré, Florencia
author_facet Cora Jofré, Florencia
Azcarate, Silvana Mariela
Camiña, José Manuel
Pacheco, Pablo Hugo
Savio, Marianela
author_role author
author2 Azcarate, Silvana Mariela
Camiña, José Manuel
Pacheco, Pablo Hugo
Savio, Marianela
author2_role author
author
author
author
dc.subject.none.fl_str_mv Green tools
Infrared assisted extraction
Ultrasound assisted extraction
Microwave induced plasma atomic emission spectrometry
Multivariate optimization
topic Green tools
Infrared assisted extraction
Ultrasound assisted extraction
Microwave induced plasma atomic emission spectrometry
Multivariate optimization
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Sample preparation involves a critical step due to the high organic matter content that implies its decomposition, prior to analysis. Two alternative analytical strategies for sample preparation employing diluted HNO3 were optimized and compared, assisted by ultrasound (USAE) and infrared (IRAE) radiation. Multielement determination was achieved by MIP OES. For optimization of experimental conditions, a central composite design centered on the faces was carried out, considering four and five factors for IRAE and USAE, respectively. Dissolved organic carbon (DOC), residual acidity (RA) and solid residue (SR), significantly influence the responses to be evaluated. The response surface methodology was implemented to find the best combination of mass, diluted reagents (HNO3 and H2O2), time and temperature in order to minimize responses for elemental extraction in animal feed samples. The optimized experimental conditions: 500 mg of sample mass, 60°C of bath temperature, 30 min of extraction time, 2 mol L−1 HNO3 and 27% H2O2, were used to validate the USAE procedure. The conditions established for IRAE were 500 mg of the swine feed sample, followed by the addition of 2 mL of 2 mol L−1 HNO3 and 23% H2O2, irradiating for 23 min. Recoveries ranged from 81 to 114%, with good precision (RSD < 4%). Using five index tools the greenness of the proposed methods was demonstrated. According to IRAE simplicity, reliability, fast and easy to implement, it was successfully applied to the determination of Ca, Cu, Fe, K, Mg, Mn, P and Zn in agrifood samples.
Fil: Cora Jofré, Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
Fil: Azcarate, Silvana Mariela. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
Fil: Camiña, José Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
Fil: Pacheco, Pablo Hugo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; Argentina
Fil: Savio, Marianela. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
description Sample preparation involves a critical step due to the high organic matter content that implies its decomposition, prior to analysis. Two alternative analytical strategies for sample preparation employing diluted HNO3 were optimized and compared, assisted by ultrasound (USAE) and infrared (IRAE) radiation. Multielement determination was achieved by MIP OES. For optimization of experimental conditions, a central composite design centered on the faces was carried out, considering four and five factors for IRAE and USAE, respectively. Dissolved organic carbon (DOC), residual acidity (RA) and solid residue (SR), significantly influence the responses to be evaluated. The response surface methodology was implemented to find the best combination of mass, diluted reagents (HNO3 and H2O2), time and temperature in order to minimize responses for elemental extraction in animal feed samples. The optimized experimental conditions: 500 mg of sample mass, 60°C of bath temperature, 30 min of extraction time, 2 mol L−1 HNO3 and 27% H2O2, were used to validate the USAE procedure. The conditions established for IRAE were 500 mg of the swine feed sample, followed by the addition of 2 mL of 2 mol L−1 HNO3 and 23% H2O2, irradiating for 23 min. Recoveries ranged from 81 to 114%, with good precision (RSD < 4%). Using five index tools the greenness of the proposed methods was demonstrated. According to IRAE simplicity, reliability, fast and easy to implement, it was successfully applied to the determination of Ca, Cu, Fe, K, Mg, Mn, P and Zn in agrifood samples.
publishDate 2023
dc.date.none.fl_str_mv 2023-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/232497
Cora Jofré, Florencia; Azcarate, Silvana Mariela; Camiña, José Manuel; Pacheco, Pablo Hugo; Savio, Marianela; Assessing the greenness of optimized ultrasound and infrared assisted extraction through analytical metrics; Elsevier; Advances in Sample Preparation; 5; 2-2023; 1-34
2772-5820
CONICET Digital
CONICET
url http://hdl.handle.net/11336/232497
identifier_str_mv Cora Jofré, Florencia; Azcarate, Silvana Mariela; Camiña, José Manuel; Pacheco, Pablo Hugo; Savio, Marianela; Assessing the greenness of optimized ultrasound and infrared assisted extraction through analytical metrics; Elsevier; Advances in Sample Preparation; 5; 2-2023; 1-34
2772-5820
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2772582023000049?via%3Dihub
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.sampre.2023.100054
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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