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dc.contributor.author
Tascon, Marcos
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dc.contributor.author
Benavente, Fernando
dc.contributor.author
Castells, Cecilia Beatriz Marta
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dc.contributor.author
Gagliardi, Leonardo Gabriel
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dc.date.available
2018-08-09T19:41:48Z
dc.date.issued
2016-08
dc.identifier.citation
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; Elsevier Science; Journal of Chromatography - A; 1460; 8-2016; 190-196
dc.identifier.issn
0021-9673
dc.identifier.uri
http://hdl.handle.net/11336/54838
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CAPILLARY ELECTROPHORESIS
dc.subject
HARMALA ALKALOIDS
dc.subject
OPTIMIZATION
dc.subject
QUALITY CRITERIA
dc.subject.classification
Otras Ciencias Químicas
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dc.subject.classification
Ciencias Químicas
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Quality criterion to optimize separations in capillary electrophoresis: Application to the analysis of harmala alkaloids
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-08-09T15:17:33Z
dc.journal.volume
1460
dc.journal.pagination
190-196
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Tascon, Marcos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; Argentina
dc.description.fil
Fil: Benavente, Fernando. Universidad de Barcelona; España
dc.description.fil
Fil: Castells, Cecilia Beatriz Marta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; Argentina
dc.description.fil
Fil: Gagliardi, Leonardo Gabriel. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
dc.journal.title
Journal of Chromatography - A
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1016/j.chroma.2016.07.032
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0021967316309396
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