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

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. T...

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Autores principales: Monzón, Celina María, Teglia, Carla M., Delfino, Mario Raúl, Goicoechea, Héctor C.
Formato: Artículo
Lenguaje:Inglés
Publicado: Elsevier 2021
Materias:
Hyperglycemic drugs
Second-order data
HPLC-UV
Acceso en línea:http://repositorio.unne.edu.ar/handle/123456789/27941
Aporte de:
RIUNNE - Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE) de Universidad Nacional del Nordeste
id I48-R184-123456789-27941
record_format dspace
institution Universidad Nacional del Nordeste
institution_str I-48
repository_str R-184
collection RIUNNE - Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
language Inglés
topic Hyperglycemic drugs
Second-order data
HPLC-UV
spellingShingle Hyperglycemic drugs
Second-order data
HPLC-UV
Monzón, Celina María
Teglia, Carla M.
Delfino, Mario Raúl
Goicoechea, Héctor C.
Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum samples
topic_facet Hyperglycemic drugs
Second-order data
HPLC-UV
description 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.
format Artículo
author Monzón, Celina María
Teglia, Carla M.
Delfino, Mario Raúl
Goicoechea, Héctor C.
author_facet Monzón, Celina María
Teglia, Carla M.
Delfino, Mario Raúl
Goicoechea, Héctor C.
author_sort Monzón, Celina María
title Multiway calibration strategy with chromatographic data exploiting the second order advantage for quantitation of three antidiabetic and three antihypertensive drugs in serum samples
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
publisher Elsevier
publishDate 2021
url http://repositorio.unne.edu.ar/handle/123456789/27941
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