Applications of liquid-phase microextraction procedures to complex samples assisted by response surface methodology for optimization

Autores
Carabajal, Maira Daniela; Teglia, Carla Mariela; Cerutti, Estela Soledad; Culzoni, Maria Julia; Goicoechea, Hector Casimiro
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This review presents applications of liquid phase microextraction (LPME) for extracting analytes in complex samples. This process has been introduced to simplify the extraction methods, and enhance the selectivity, sample cleanup and efficiency, allowing the extraction of a wide variety of analytes. The revision was focused on those works in which the performance of the technique was optimized by the response surface methodology (RSM). Firstly, a description of the different LPME systems is presented. Then, a brief explanation of the most popular tools applied for optimization is displayed. After that, the results of a literature search of the works reported from 2009 to 2019 based on the implementation of microextraction supported by experimental design and optimization can be found summarized in a table. Finally, an illustrative example providing the necessary information to carry out this kind of work is presented. A list of the most popular software available to apply RSM is also presented.
Fil: Carabajal, Maira Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina
Fil: Teglia, Carla Mariela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina
Fil: Cerutti, Estela Soledad. 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: Culzoni, Maria Julia. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina
Materia
Liquid phase microextraction (LPME)
Complex samples
Response surface methodology (RSM)
Chemometrics
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:11336/108959
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/108959
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Applications of liquid-phase microextraction procedures to complex samples assisted by response surface methodology for optimizationCarabajal, Maira DanielaTeglia, Carla MarielaCerutti, Estela SoledadCulzoni, Maria JuliaGoicoechea, Hector CasimiroLiquid phase microextraction (LPME)Complex samplesResponse surface methodology (RSM)Chemometricshttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1This review presents applications of liquid phase microextraction (LPME) for extracting analytes in complex samples. This process has been introduced to simplify the extraction methods, and enhance the selectivity, sample cleanup and efficiency, allowing the extraction of a wide variety of analytes. The revision was focused on those works in which the performance of the technique was optimized by the response surface methodology (RSM). Firstly, a description of the different LPME systems is presented. Then, a brief explanation of the most popular tools applied for optimization is displayed. After that, the results of a literature search of the works reported from 2009 to 2019 based on the implementation of microextraction supported by experimental design and optimization can be found summarized in a table. Finally, an illustrative example providing the necessary information to carry out this kind of work is presented. A list of the most popular software available to apply RSM is also presented.Fil: Carabajal, Maira Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; ArgentinaFil: Teglia, Carla Mariela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; ArgentinaFil: Cerutti, Estela Soledad. 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: Culzoni, Maria Julia. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; ArgentinaElsevier Science2020-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/108959Carabajal, Maira Daniela; Teglia, Carla Mariela; Cerutti, Estela Soledad; Culzoni, Maria Julia; Goicoechea, Hector Casimiro; Applications of liquid-phase microextraction procedures to complex samples assisted by response surface methodology for optimization; Elsevier Science; Microchemical Journal; 152; 1-2020; 1-16; 1044360026-265XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2019.104436info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0026265X19323021info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:36:47Zoai:ri.conicet.gov.ar:11336/108959instacron: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:34982025-09-29 09:36:47.417CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Applications of liquid-phase microextraction procedures to complex samples assisted by response surface methodology for optimization
title Applications of liquid-phase microextraction procedures to complex samples assisted by response surface methodology for optimization
spellingShingle Applications of liquid-phase microextraction procedures to complex samples assisted by response surface methodology for optimization
Carabajal, Maira Daniela
Liquid phase microextraction (LPME)
Complex samples
Response surface methodology (RSM)
Chemometrics
title_short Applications of liquid-phase microextraction procedures to complex samples assisted by response surface methodology for optimization
title_full Applications of liquid-phase microextraction procedures to complex samples assisted by response surface methodology for optimization
title_fullStr Applications of liquid-phase microextraction procedures to complex samples assisted by response surface methodology for optimization
title_full_unstemmed Applications of liquid-phase microextraction procedures to complex samples assisted by response surface methodology for optimization
title_sort Applications of liquid-phase microextraction procedures to complex samples assisted by response surface methodology for optimization
dc.creator.none.fl_str_mv Carabajal, Maira Daniela
Teglia, Carla Mariela
Cerutti, Estela Soledad
Culzoni, Maria Julia
Goicoechea, Hector Casimiro
author Carabajal, Maira Daniela
author_facet Carabajal, Maira Daniela
Teglia, Carla Mariela
Cerutti, Estela Soledad
Culzoni, Maria Julia
Goicoechea, Hector Casimiro
author_role author
author2 Teglia, Carla Mariela
Cerutti, Estela Soledad
Culzoni, Maria Julia
Goicoechea, Hector Casimiro
author2_role author
author
author
author
dc.subject.none.fl_str_mv Liquid phase microextraction (LPME)
Complex samples
Response surface methodology (RSM)
Chemometrics
topic Liquid phase microextraction (LPME)
Complex samples
Response surface methodology (RSM)
Chemometrics
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This review presents applications of liquid phase microextraction (LPME) for extracting analytes in complex samples. This process has been introduced to simplify the extraction methods, and enhance the selectivity, sample cleanup and efficiency, allowing the extraction of a wide variety of analytes. The revision was focused on those works in which the performance of the technique was optimized by the response surface methodology (RSM). Firstly, a description of the different LPME systems is presented. Then, a brief explanation of the most popular tools applied for optimization is displayed. After that, the results of a literature search of the works reported from 2009 to 2019 based on the implementation of microextraction supported by experimental design and optimization can be found summarized in a table. Finally, an illustrative example providing the necessary information to carry out this kind of work is presented. A list of the most popular software available to apply RSM is also presented.
Fil: Carabajal, Maira Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina
Fil: Teglia, Carla Mariela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina
Fil: Cerutti, Estela Soledad. 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: Culzoni, Maria Julia. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina
description This review presents applications of liquid phase microextraction (LPME) for extracting analytes in complex samples. This process has been introduced to simplify the extraction methods, and enhance the selectivity, sample cleanup and efficiency, allowing the extraction of a wide variety of analytes. The revision was focused on those works in which the performance of the technique was optimized by the response surface methodology (RSM). Firstly, a description of the different LPME systems is presented. Then, a brief explanation of the most popular tools applied for optimization is displayed. After that, the results of a literature search of the works reported from 2009 to 2019 based on the implementation of microextraction supported by experimental design and optimization can be found summarized in a table. Finally, an illustrative example providing the necessary information to carry out this kind of work is presented. A list of the most popular software available to apply RSM is also presented.
publishDate 2020
dc.date.none.fl_str_mv 2020-01
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/11336/108959
Carabajal, Maira Daniela; Teglia, Carla Mariela; Cerutti, Estela Soledad; Culzoni, Maria Julia; Goicoechea, Hector Casimiro; Applications of liquid-phase microextraction procedures to complex samples assisted by response surface methodology for optimization; Elsevier Science; Microchemical Journal; 152; 1-2020; 1-16; 104436
0026-265X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/108959
identifier_str_mv Carabajal, Maira Daniela; Teglia, Carla Mariela; Cerutti, Estela Soledad; Culzoni, Maria Julia; Goicoechea, Hector Casimiro; Applications of liquid-phase microextraction procedures to complex samples assisted by response surface methodology for optimization; Elsevier Science; Microchemical Journal; 152; 1-2020; 1-16; 104436
0026-265X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2019.104436
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0026265X19323021
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
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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
_version_ 1844613156332109824
score 13.070432

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