Voltammetric electronic tongue for the simultaneous determination of three benzodiazepines
Herrera-Chacon, Anna (Universitat Autònoma de Barcelona. Departament de Química)
Torabi, Farzad (Universitat Autònoma de Barcelona. Departament de Química)
Faridbod, Farnoush (University of Tehran. Center of Excellence in Electrochemistry)
Ghasemi, Jahan B. (University of Tehran. School of Chemistry)
González-Calabuig, Andreu (Universitat Autònoma de Barcelona. Departament de Química)
Valle Zafra, Manuel del (Universitat Autònoma de Barcelona. Departament de Química)

Data:	2019
Resum:	The presented manuscript reports the simultaneous detection of a ternary mixture of the benzodiazepines diazepam, lorazepam, and flunitrazepam using an array of voltammetric sensors and the electronic tongue principle. The electrodes used in the array were selected from a set of differently modified graphite epoxy composite electrodes; specifically, six electrodes were used incorporating metallic nanoparticles of Cu and Pt, oxide nanoparticles of CuO and WO, plus pristine electrodes of epoxy-graphite and metallic Pt disk. Cyclic voltammetry was the technique used to obtain the voltammetric responses. Multivariate examination using Principal Component Analysis (PCA) justified the choice of sensors in order to get the proper discrimination of the benzodiazepines. Next, a quantitative model to predict the concentrations of mixtures of the three benzodiazepines was built employing the set of voltammograms, and was first processed with the Discrete Wavelet Transform, which fed an artificial neural network response model. The developed model successfully predicted the concentration of the three compounds with a normalized root mean square error (NRMSE) of 0. 034 and 0. 106 for the training and test subsets, respectively, and coefficient of correlation R ≥ 0. 938 in the predicted vs. expected concentrations comparison graph.
Ajuts:	Ministerio de Economía y Competitividad 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.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Electronic tongue ; Nanoparticle modifiers ; Diazepam ; Lorazepam ; Flunitrazepam ; Artificial neural networks
Publicat a:	Sensors (Basel, Switzerland), Vol. 19, issue 22 (Nov. 2019) , art. 5002, ISSN 1424-8220

DOI: 10.3390/s19225002
PMID: 31744128

12 p, 2.4 MB

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