Web of Science: 7 cites, Scopus: 9 cites, Google Scholar: cites
Simultaneous voltammetric determination of acetaminophen, ascorbic acid and uric acid by use of integrated array of screen-printed electrodes and chemometric tools
Ortiz-Aguayo, Dionisia (Universitat Autònoma de Barcelona. Departament de Química)
Bonet San Emeterio, Marta (Universitat Autònoma de Barcelona. Departament de Química)
Valle Zafra, Manuel del (Universitat Autònoma de Barcelona. Departament de Química)

Data: 2019
Resum: In the present work, ternary mixtures of Acetaminophen, Ascorbic acid and Uric acid were resolved using the Electronic tongue (ET) principle and Cyclic voltammetry (CV) technique. The screen-printed integrated electrode array having differentiated response for the three oxidizable compounds was formed by Graphite, Prussian blue (PB), Cobalt (II) phthalocyanine (CoPc) and Copper oxide (II) (CuO) ink-modified carbon electrodes. A set of samples, ranging from 0 to 500 µmol·L, was prepared, using a tilted (3) factorial design in order to build the quantitative response model. Subsequently, the model performance was evaluated with an external subset of samples defined randomly along the experimental domain. Partial Least Squares Regression (PLS) was employed to construct the quantitative model. Finally, the model successfully predicted the concentration of the three compounds with a normalized root mean square error (NRMSE) of 1. 00 and 0. 99 for the training and test subsets, respectively, and R ≥ 0. 762 for the obtained vs. expected comparison graphs. In this way, a screen-printed integrated electrode platform can be successfully used for voltammetric ET applications.
Nota: Número d'acord de subvenció MINECO/CTQ2016-80170-P
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: article ; recerca ; publishedVersion
Matèria: Electronic tongue ; Modifiers ; Acetaminophen ; Ascorbic acid ; Uric acid ; Partial least squares regression
Publicat a: Sensors, Vol. 19, issue 15 (August 2019) , art. 3286, ISSN 1424-8220

DOI: 10.3390/s19153286
PMID: 31357396


13 p, 3.9 MB

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 Registre creat el 2020-01-13, darrera modificació el 2020-09-15



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