Quality criterion to optimize separations in capillary electrophoresis : Application to the analysis of harmala alkaloids

In capillary electrophoresis (CE), resolution (Rs) and selectivity (α) are criteria often used in practice to optimize separations. Nevertheless, when these and other proposed parameters are considered as an elementary criterion for optimization by mathematical maximization, certain issues and incon...

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Detalles Bibliográficos
Autores principales: Tascon, Marcos, Benavente, Fernando, Castells, Cecilia Beatriz Marta, Gagliardi, Leonardo Gabriel
Formato: Articulo
Lenguaje:Inglés
Publicado: 2016
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/108235
https://www.sciencedirect.com/science/article/abs/pii/S0021967316309396?via%3Dihub
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id I19-R120-10915-108235
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Exactas
Capillary electrophoresis
Optimization
Quality criteria
Harmala alkaloids
spellingShingle Ciencias Exactas
Capillary electrophoresis
Optimization
Quality criteria
Harmala alkaloids
Tascon, Marcos
Benavente, Fernando
Castells, Cecilia Beatriz Marta
Gagliardi, Leonardo Gabriel
Quality criterion to optimize separations in capillary electrophoresis : Application to the analysis of harmala alkaloids
topic_facet Ciencias Exactas
Capillary electrophoresis
Optimization
Quality criteria
Harmala alkaloids
description In capillary electrophoresis (CE), resolution (Rs) and selectivity (α) are criteria often used in practice to optimize separations. Nevertheless, when these and other proposed parameters are considered as an elementary criterion for optimization by mathematical maximization, certain issues and inconsistencies appear. In the present work we analyzed the pros and cons of using these parameters as elementary criteria for mathematical optimization of capillary electrophoretic separations. We characterized the requirements of an ideal criterion to qualify separations within the framework of mathematical optimizations and, accordingly, propose: -1- a new elementary criterion (t') and -2- a method to extend this elementary criterion to compose a global function that simultaneously qualifies many different aspects, also called multicriteria optimization function (MCOF). In order to demonstrate this new concept, we employed a group of six alkaloids with closely related structures (harmine, harmaline, harmol, harmalol, harmane and norharmane). On the basis of this system, we present a critical comparison between the new optimization criterion t' and the former elementary criteria. Finally, aimed at validating the proposed methods, we composed an MCOF in which the capillary-electrophoretic separation of the six model compounds is mathematically optimized as a function of pH as the unique variable. Experimental results subsequently confirmed the accuracy of the model.
format Articulo
Articulo
author Tascon, Marcos
Benavente, Fernando
Castells, Cecilia Beatriz Marta
Gagliardi, Leonardo Gabriel
author_facet Tascon, Marcos
Benavente, Fernando
Castells, Cecilia Beatriz Marta
Gagliardi, Leonardo Gabriel
author_sort Tascon, Marcos
title Quality criterion to optimize separations in capillary electrophoresis : Application to the analysis of harmala alkaloids
title_short Quality criterion to optimize separations in capillary electrophoresis : Application to the analysis of harmala alkaloids
title_full Quality criterion to optimize separations in capillary electrophoresis : Application to the analysis of harmala alkaloids
title_fullStr Quality criterion to optimize separations in capillary electrophoresis : Application to the analysis of harmala alkaloids
title_full_unstemmed Quality criterion to optimize separations in capillary electrophoresis : Application to the analysis of harmala alkaloids
title_sort quality criterion to optimize separations in capillary electrophoresis : application to the analysis of harmala alkaloids
publishDate 2016
url http://sedici.unlp.edu.ar/handle/10915/108235
https://www.sciencedirect.com/science/article/abs/pii/S0021967316309396?via%3Dihub
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