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Artículo

A new modeling strategy for third-order fast high-performance liquid chromatographic data with fluorescence detection: Quantitation of fluoroquinolones in water samples

Alcaraz, Mirta RaquelIcon ; Bortolato, Santiago AndresIcon ; Goicoechea, Hector CasimiroIcon ; Olivieri, Alejandro CesarIcon
Fecha de publicación: 02/2015
Editorial: Springer Heidelberg
Revista: Analytical and Bioanalytical Chemistry
ISSN: 1618-2642
e-ISSN: 1618-2650
Idioma: Inglés
Tipo de recurso: Artículo publicado

Resumen

Matrix augmentation is regularly employed in extended multivariate curve resolution-alternating least-squares (MCR-ALS), as applied to analytical calibration based on second- and third-order data. However, this highly useful concept has almost no correspondence in parallel factor analysis (PARAFAC) of third-order data. In the present work, we propose a strategy to process third-order chromatographic data with matrix fluorescence detection, based on an Augmented PARAFAC model. The latter involves decomposition of a three-way data array augmented along the elution time mode with data for the calibration samples and for each of the test samples. A set of excitation-emission fluorescence matrices, measured at different chromatographic elution times for drinking water samples, containing three fluoroquinolones and uncalibrated interferences, were evaluated using this approach. Augmented PARAFAC exploits the second-order advantage, even in the presence of significant changes in chromatographic profiles from run to run. The obtained relative errors of prediction were ca. 10 % for ofloxacin, ciprofloxacin, and danofloxacin, with a significant enhancement in analytical figures of merit in comparison with previous reports. The results are compared with those furnished by MCR-ALS.
Palabras clave: Augmented Parallel Factor Analysis , Fluoroquinolones , Liquid Chromatography , Third-Order Data , Water Samples
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
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URI: http://hdl.handle.net/11336/37745
URL: http://link.springer.com/article/10.1007%2Fs00216-014-8442-z
DOI: http://dx.doi.org/10.1007/s00216-014-8442-z
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Articulos(IQUIR) [499]
Articulos de INST.DE QUIMICA ROSARIO
Articulos(CCT - SANTA FE) [2096]
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SANTA FE
Citación
Alcaraz, Mirta Raquel; Bortolato, Santiago Andres; Goicoechea, Hector Casimiro; Olivieri, Alejandro Cesar; A new modeling strategy for third-order fast high-performance liquid chromatographic data with fluorescence detection: Quantitation of fluoroquinolones in water samples; Springer Heidelberg; Analytical and Bioanalytical Chemistry; 407; 7; 2-2015; 1999-2011
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