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dc.contributor.author Gholivand, Mohammad Bagher
dc.contributor.author Jalalvand, Alí R.
dc.contributor.author Goicoechea, Hector Casimiro
dc.contributor.author Skov, Thomas
dc.date.available 2017-04-19T14:06:04Z
dc.date.issued 2014-01
dc.identifier.citation Gholivand, Mohammad Bagher; Jalalvand, Alí R.; Goicoechea, Hector Casimiro; Skov, Thomas; Chemometrics-assisted simultaneous voltammetric determination of ascorbic acid,uricacid,dopamine and nitrite: Application of non-bilinear voltammetric data for exploiting first-order advantage; Elsevier Science; Talanta; 119; 1-2014; 553-563
dc.identifier.issn 0039-9140
dc.identifier.uri http://hdl.handle.net/11336/15435
dc.description.abstract For the first time, several multivariate calibration (MVC) models including partial least squares-1 (PLS-1), continuum power regression (CPR), multiple linear regression-successive projections algorithm (MLRSPA), robust continuum regression (RCR), partial robust M-regression (PRM), polynomial-PLS (PLY-PLS), spline-PLS (SPL-PLS), radial basis function-PLS (RBF-PLS), least squares-support vector machines (LS-SVM), wavelet transform-artificial neural network (WT-ANN), discrete wavelet transform-ANN (DWT-ANN), and back propagation-ANN (BP-ANN) have been constructed on the basis of non-bilinear first order square wave voltammetric (SWV) data for the simultaneous determination of ascorbic acid (AA), uric acid (UA), dopamine (DP) and nitrite (NT) at a glassy carbon electrode (GCE) to identify which technique offers the best predictions. The compositions of the calibration mixtures were selected according to a simplex lattice design (SLD) and validated with an external set of analytes' mixtures. An asymmetric least squares splines regression (AsLSSR) algorithm was applied for correcting the baselines. A correlation optimized warping (COW) algorithm was used to data alignment and lack of bilinearity was tackled by potential shift correction. The effects of several pre-processing techniques such as genetic algorithm (GA), orthogonal signal correction (OSC), mean centering (MC), robust median centering (RMC), wavelet denoising (WD), and Savitsky–Golay smoothing (SGS) on the predictive ability of the mentioned MVC models were examined. The best preprocessing technique was found for each model. According to the results obtained, the RBF-PLS was recommended to simultaneously assay the concentrations of AA, UA, DP and NT in human serum samples.
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-nd/2.5/ar/
dc.subject ASCORBIC ACID
dc.subject URIC ACID
dc.subject DOPAMINE
dc.subject NITRITE
dc.subject SIMULTANEOUS DETERMINATION
dc.subject LINEAR AND NON-LINEAR DETERMINATION
dc.subject CALIBRATION MODELS
dc.subject.classification Química Analítica
dc.subject.classification Ciencias Químicas
dc.subject.classification CIENCIAS NATURALES Y EXACTAS
dc.title Chemometrics-assisted simultaneous voltammetric determination of ascorbic acid,uricacid,dopamine and nitrite: Application of non-bilinear voltammetric data for exploiting first-order advantage
dc.type info:eu-repo/semantics/article
dc.type info:ar-repo/semantics/artículo
dc.type info:eu-repo/semantics/publishedVersion
dc.date.updated 2017-04-17T19:26:40Z
dc.journal.volume 119
dc.journal.pagination 553-563
dc.journal.pais Países Bajos
dc.journal.ciudad Amsterdam
dc.description.fil Fil: Gholivand, Mohammad Bagher. Razi University. Faculty of Chemistry; Irán
dc.description.fil Fil: Jalalvand, Alí R.. Razi University. Faculty of Chemistry; Irán. Universidad Nacional del Litoral. Cátedra de Química Analítica I. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina
dc.description.fil Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral. Cátedra de Química Analítica I. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe; Argentina
dc.description.fil Fil: Skov, Thomas. University of Copenhagen. Faculty of Life Sciences. Department of Food Science. Quality and Technology group; Dinamarca
dc.journal.title Talanta
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.talanta.2013.11.028
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0039914013009053


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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Atribución-NoComercial-SinDerivadas 2.5 Argentina (CC BY-NC-ND 2.5 AR)