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dc.contributor.author
Tascon, Marcos  
dc.contributor.author
Benavente, Fernando  
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Castells, Cecilia Beatriz Marta  
dc.contributor.author
Gagliardi, Leonardo Gabriel  
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  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CAPILLARY ELECTROPHORESIS  
dc.subject
HARMALA ALKALOIDS  
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OPTIMIZATION  
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QUALITY CRITERIA  
dc.subject.classification
Otras Ciencias Químicas  
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Ciencias Químicas  
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CIENCIAS NATURALES Y EXACTAS  
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  
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  
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