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dc.contributor.author
Jalalvand, Ali R.
dc.contributor.author
Gholivand, Mohammad Bagher
dc.contributor.author
Goicoechea, Hector Casimiro
dc.date.available
2017-05-05T17:47:56Z
dc.date.issued
2015-11
dc.identifier.citation
Jalalvand, Ali R.; Gholivand, Mohammad Bagher; Goicoechea, Hector Casimiro; Multidimensional voltammetry: Four-way multivariate calibration with third-order differential pulse voltammetric data for multi-analyte quantification in the presence of uncalibrated interferences; Elsevier Science; Chemometrics and Intelligent Laboratory Systems; 148; 11-2015; 60-71
dc.identifier.issn
0169-7439
dc.identifier.uri
http://hdl.handle.net/11336/16031
dc.description.abstract
A four-way multivariate calibration approach based on the combination of differential pulse voltammetric (DPV) data and four-way algorithms is described for the first time. To achieve this goal, the DPV response of each sample was recorded thirty-six times. Six current-potential matrices were recorded at six different pulse durations. Each matrix consists of six vectors which have been recorded at six different pulse heights. The three-way data array obtained for the calibration set and for each of the test samples were joined into a single four-way data array. The recorded four-way data array was nonlinear, thus, the non-linearities were tackled by potential shift correction using correlation-optimized warping (COW) algorithm and subsequently was analyzed with unfolded-partial least squares/residual trilinearization (U-PLS/RTL) and multi-way-PLS/RTL (N-PLS/RTL) as third-order multivariate calibration algorithms. A comprehensive and systematic strategy for comparing the performance of the two algorithms was presented in this work, in particular with a view of practical applications. This comparison was developed to identify which algorithm offers the best predictions for the simultaneous determination of levodopa (LD), carbidopa (CD), methyldopa (MD), acetaminophen (AC), tramadol (TRA), lidocaine (LC), tolperisone (TOP), ofloxacin (OF), levofloxacin (LOF), and norfloxacin (NOF) in the presence of benserazide (BA), dopamine (DP), and ciprofloxacin (COF) as uncalibrated interferences using a multi-walled carbon nanotubes modified glassy carbon electrode (MWCNTs/GCE). This study demonstrated the more superiority of U-PLS/RTL to resolve the complex systems. The results of applying U-PLS/RTL for the simultaneous determination of the studied analytes in human serum samples as experimental cases were also encouraging.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Four-Way Voltammetric Array
dc.subject
Multi-Analyte Quantification
dc.subject
N-Pls/Rtl
dc.subject
Third-Order Multivariate Calibration
dc.subject
U-Pls/Rtl
dc.subject
Uncalibrated Interference
dc.subject.classification
Química Analítica
dc.subject.classification
Ciencias Químicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Multidimensional voltammetry: Four-way multivariate calibration with third-order differential pulse voltammetric data for multi-analyte quantification in the presence of uncalibrated interferences
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-05-04T18:44:42Z
dc.journal.volume
148
dc.journal.pagination
60-71
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Jalalvand, Ali R.. Razi University. Faculty of Chemistry. Department of Analytical Chemistry; Irán. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Departamento de Química. Área Química Analítica; Argentina
dc.description.fil
Fil: Gholivand, Mohammad Bagher. Razi University. Faculty of Chemistry. Department of Analytical Chemistry; Irán
dc.description.fil
Fil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Departamento de Química. Área Química Analítica; Argentina
dc.journal.title
Chemometrics and Intelligent Laboratory Systems
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.chemolab.2015.09.003
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0169743915002191
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