Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum sampl...

Autores
Monzón, Celina María; Teglia, Carla M.; Delfino, Mario Raúl; Goicoechea, Héctor C.
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Monzón, Celina M. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura; Argentina.
Fil: Monzón, Celina M. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico; Argentina.
Fil: Teglia, Carla M. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina.
Fil: Teglia, Carla M. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico; Argentina.
Fil: Delfino, Mario R. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura; Argentina.
Fil: Delfino, Mario Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico; Argentina.
Fil: Goicoechea, Héctor C. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina.
Fil: Goicoechea, Héctor C. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico; Argentina.
This paper proposes a multiway calibration strategy implementing the modeling with MCR-ALS and U-PLS/RBL of second-order chromatographic data for quantitation of six analytes: gliclazide, glibenclamide, glimepiride, atenolol, enalapril and amlodipine in serum samples, in an analysis time of 3 min. The performance of both algorithms was compared in terms of predictive ability, showing relative error of prediction values below 10% in all cases. LOD values calculated are below 30 ng mL−1 for all the studied drugs, which allow detection in human serum in patients under treatment. U-PLS/RBL has higher sensitivity and better detection and quantification limits for all the studied analytes; however results obtained by MCR-ALS enable its usage as well. Both methods provide comparable results for glibenclamide, glimepiride and gliclazide. With this multiway calibration strategy, the presence of enalapril, amlodipine and atenolol could be quantitated with high accuracy. Run time was reduced by 50% considering previous reports, as well as reduction of solvents, in accordance with green chemistry principles.
Fuente
Microchemical Journal, 208, vol. 136, p. 185-192.
Materia
Hyperglycemic drugs
Second-order data
HPLC-UV
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
Institución
Universidad Nacional del Nordeste
OAI Identificador
oai:repositorio.unne.edu.ar:123456789/27941
Acceder
id RIUNNE_51b3e358299633f84b6eccc0d59c892b
oai_identifier_str oai:repositorio.unne.edu.ar:123456789/27941
network_acronym_str RIUNNE
repository_id_str 4871
network_name_str Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
spelling Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum samplesMonzón, Celina MaríaTeglia, Carla M.Delfino, Mario RaúlGoicoechea, Héctor C.Hyperglycemic drugsSecond-order dataHPLC-UVFil: Monzón, Celina M. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura; Argentina.Fil: Monzón, Celina M. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico; Argentina.Fil: Teglia, Carla M. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina.Fil: Teglia, Carla M. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico; Argentina.Fil: Delfino, Mario R. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura; Argentina.Fil: Delfino, Mario Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico; Argentina.Fil: Goicoechea, Héctor C. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina.Fil: Goicoechea, Héctor C. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico; Argentina.This paper proposes a multiway calibration strategy implementing the modeling with MCR-ALS and U-PLS/RBL of second-order chromatographic data for quantitation of six analytes: gliclazide, glibenclamide, glimepiride, atenolol, enalapril and amlodipine in serum samples, in an analysis time of 3 min. The performance of both algorithms was compared in terms of predictive ability, showing relative error of prediction values below 10% in all cases. LOD values calculated are below 30 ng mL−1 for all the studied drugs, which allow detection in human serum in patients under treatment. U-PLS/RBL has higher sensitivity and better detection and quantification limits for all the studied analytes; however results obtained by MCR-ALS enable its usage as well. Both methods provide comparable results for glibenclamide, glimepiride and gliclazide. With this multiway calibration strategy, the presence of enalapril, amlodipine and atenolol could be quantitated with high accuracy. Run time was reduced by 50% considering previous reports, as well as reduction of solvents, in accordance with green chemistry principles.Elsevier2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfMonzón, Celina M., et al., 2018. Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum samples. Microchemical Journal. Ámsterdam: Elsevier, vol. 136, p. 185-192. ISSN 0026-265X.0026-265Xhttp://repositorio.unne.edu.ar/handle/123456789/27941Microchemical Journal, 208, vol. 136, p. 185-192.reponame:Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)instname:Universidad Nacional del Nordesteenghttp://dx.doi.org/10.1016/j.microc.2016.11.019info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/2.5/ar/Atribución-NoComercial-SinDerivadas 2.5 Argentina2025-09-29T14:30:19Zoai:repositorio.unne.edu.ar:123456789/27941instacron:UNNEInstitucionalhttp://repositorio.unne.edu.ar/Universidad públicaNo correspondehttp://repositorio.unne.edu.ar/oaiososa@bib.unne.edu.ar;sergio.alegria@unne.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:48712025-09-29 14:30:19.314Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE) - Universidad Nacional del Nordestefalse
dc.title.none.fl_str_mv Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum samples
title Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum samples
spellingShingle Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum samples
Monzón, Celina María
Hyperglycemic drugs
Second-order data
HPLC-UV
title_short Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum samples
title_full Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum samples
title_fullStr Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum samples
title_full_unstemmed Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum samples
title_sort Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum samples
dc.creator.none.fl_str_mv Monzón, Celina María
Teglia, Carla M.
Delfino, Mario Raúl
Goicoechea, Héctor C.
author Monzón, Celina María
author_facet Monzón, Celina María
Teglia, Carla M.
Delfino, Mario Raúl
Goicoechea, Héctor C.
author_role author
author2 Teglia, Carla M.
Delfino, Mario Raúl
Goicoechea, Héctor C.
author2_role author
author
author
dc.subject.none.fl_str_mv Hyperglycemic drugs
Second-order data
HPLC-UV
topic Hyperglycemic drugs
Second-order data
HPLC-UV
dc.description.none.fl_txt_mv Fil: Monzón, Celina M. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura; Argentina.
Fil: Monzón, Celina M. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico; Argentina.
Fil: Teglia, Carla M. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina.
Fil: Teglia, Carla M. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico; Argentina.
Fil: Delfino, Mario R. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura; Argentina.
Fil: Delfino, Mario Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico; Argentina.
Fil: Goicoechea, Héctor C. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina.
Fil: Goicoechea, Héctor C. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico; Argentina.
This paper proposes a multiway calibration strategy implementing the modeling with MCR-ALS and U-PLS/RBL of second-order chromatographic data for quantitation of six analytes: gliclazide, glibenclamide, glimepiride, atenolol, enalapril and amlodipine in serum samples, in an analysis time of 3 min. The performance of both algorithms was compared in terms of predictive ability, showing relative error of prediction values below 10% in all cases. LOD values calculated are below 30 ng mL−1 for all the studied drugs, which allow detection in human serum in patients under treatment. U-PLS/RBL has higher sensitivity and better detection and quantification limits for all the studied analytes; however results obtained by MCR-ALS enable its usage as well. Both methods provide comparable results for glibenclamide, glimepiride and gliclazide. With this multiway calibration strategy, the presence of enalapril, amlodipine and atenolol could be quantitated with high accuracy. Run time was reduced by 50% considering previous reports, as well as reduction of solvents, in accordance with green chemistry principles.
description Fil: Monzón, Celina M. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura; Argentina.
publishDate 2018
dc.date.none.fl_str_mv 2018
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 Monzón, Celina M., et al., 2018. Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum samples. Microchemical Journal. Ámsterdam: Elsevier, vol. 136, p. 185-192. ISSN 0026-265X.
0026-265X
http://repositorio.unne.edu.ar/handle/123456789/27941
identifier_str_mv Monzón, Celina M., et al., 2018. Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum samples. Microchemical Journal. Ámsterdam: Elsevier, vol. 136, p. 185-192. ISSN 0026-265X.
0026-265X
url http://repositorio.unne.edu.ar/handle/123456789/27941
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://dx.doi.org/10.1016/j.microc.2016.11.019
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Atribución-NoComercial-SinDerivadas 2.5 Argentina
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Atribución-NoComercial-SinDerivadas 2.5 Argentina
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Microchemical Journal, 208, vol. 136, p. 185-192.
reponame:Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
instname:Universidad Nacional del Nordeste
reponame_str Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
collection Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
instname_str Universidad Nacional del Nordeste
repository.name.fl_str_mv Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE) - Universidad Nacional del Nordeste
repository.mail.fl_str_mv ososa@bib.unne.edu.ar;sergio.alegria@unne.edu.ar
_version_ 1844621687129112576
score 12.559606

Publicaciones similares