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dc.contributor.author
Alcaraz, Mirta Raquel
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dc.contributor.author
Siano, Gabriel German
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dc.contributor.author
Culzoni, Maria Julia
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dc.contributor.author
Muñoz de la Peña, Arsenio
dc.contributor.author
Goicoechea, Hector Casimiro
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dc.date.available
2020-04-03T17:33:55Z
dc.date.issued
2014-01
dc.identifier.citation
Alcaraz, Mirta Raquel; Siano, Gabriel German; Culzoni, Maria Julia; Muñoz de la Peña, Arsenio; Goicoechea, Hector Casimiro; Modeling four and three-way fast high-performance liquid chromatography with fluorescence detection data for quantitation of fluoroquinolones in water samples; Elsevier Science; Analytica Chimica Acta; 809; 1-2014; 37-46
dc.identifier.issn
0003-2670
dc.identifier.uri
http://hdl.handle.net/11336/101870
dc.description.abstract
This paper presents a study regarding the acquisition and analytical utilization of four and three-way data, acquired by following the excitation?emission fluorescence matrices at different elution times, in a fast liquid chromatographic HPLC procedure. This kind of data were implemented for first time for quantitative purposes, and applied to the determination of two fluoroquinolones in tap water samples, as a model to show the potentiality of the proposed strategy of four-way data generation. The data were modeled with three well-known algorithms: PARAFAC, U-PLS/RTL and MCR-ALS, the latter conveniently adapted to model third-order data. The second-order advantage was exploited when analyzing samples containing uncalibrated interferences. PARAFAC and MCR-ALS were the algorithms that better exploited the second-order advantage when no peak time shifts occurred among samples. On the other hand, when the quadrilinearity was lost due to the occurrence of temporal shifts, MCR-ALS furnished the better results. Relative error of prediction (REP%) obtained were 9.9% for ofloxacin and 14.0% for ciprofloxacin. In addition, a significant enhancement in the analytical figures of merit was observed when going from second- to third-order data (reduction of ca. 70% in LODs).
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
Liquid chromatography
dc.subject
Third-order data
dc.subject
Fluoroquinolones
dc.subject
Water samples
dc.subject.classification
Química Analítica
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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
Modeling four and three-way fast high-performance liquid chromatography with fluorescence detection data for quantitation of fluoroquinolones in water samples
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-04-02T15:01:18Z
dc.journal.volume
809
dc.journal.pagination
37-46
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Alcaraz, Mirta Raquel. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina
dc.description.fil
Fil: Siano, Gabriel German. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina
dc.description.fil
Fil: Culzoni, Maria Julia. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina
dc.description.fil
Fil: Muñoz de la Peña, Arsenio. Department Of Analytical Chemistry, Faculty Of Sciences; España
dc.description.fil
Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina
dc.journal.title
Analytica Chimica Acta
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.aca.2013.12.011
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