INVESTIGADORES
GOICOECHEA Hector Casimiro
artículos
Título:
Comparative study of net analyte signal-based methods and partial least squares for the simultaneous determination of amoxycillin and clavulanic acid by stopped-flow kinetic analysis
Autor/es:
MUÑOZ DE LA PEÑA, A; ESPINOSA MANSILLA, A; ACEDO VALENZUELA, MI; AC OLIVIERI,; GOICOECHEA, HÉCTOR C
Revista:
ANALYTICA CHIMICA ACTA
Editorial:
Elsevier
Referencias:
Año: 2002 vol. 463 p. 75 - 88
ISSN:
0003-2670
Resumen:
A comparative study about advantages and limitations of net analyte signal (NAS)-based methods (NBMs) and partial
least squares (PLS) calibration in kinetic analysis has been performed. The different multivariate calibration methods were
applied to the determination of binary mixtures of amoxycillin and clavulanic acid, by stopped-flow kinetic analysis. The
reactions of oxidation of these compounds with cerium(IV), in sulphuric acid medium, were monitored by following the
changes on the fluorescence of the oxidation products, in stopped-flow mode. The differences on the kinetic profiles obtained
at ëex = 256 nm and ëem = 351 nm, were used to determine mixtures of both compounds by multivariate calibration of
the kinetic data, using PLS-1, a modification of hybrid linear analysis (HLA) and net analyte pre-processing combined with
classical least squares (NAP/CLS) methods. The NBMs allowed the selection of optimal time data regions by calculating
the minimum error indicator function (EIF), improving the results and making NBMs very convenient for the analysis. In
addition, the use of the net analyte signal concept allows the calculation of the analytical figures of merit, limit of detection
(LOD), sensitivity and selectivity, for each component.ëex = 256 nm and ëem = 351 nm, were used to determine mixtures of both compounds by multivariate calibration of
the kinetic data, using PLS-1, a modification of hybrid linear analysis (HLA) and net analyte pre-processing combined with
classical least squares (NAP/CLS) methods. The NBMs allowed the selection of optimal time data regions by calculating
the minimum error indicator function (EIF), improving the results and making NBMs very convenient for the analysis. In
addition, the use of the net analyte signal concept allows the calculation of the analytical figures of merit, limit of detection
(LOD), sensitivity and selectivity, for each component.