Publication | Open Access
Predictive Modelling to Study the Electrochemical Behaviour of PdO, TiO2 and Perovskite-Type LaFeO3 Modified Carbon Paste Electrodes
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2019
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Predictive ModellingEngineeringElectrochemical BehaviourChemistryTheoretical ElectrochemistryChemical EngineeringCorrosionElectrode Reaction MechanismMaterials ScienceElectrical EngineeringSurface ElectrochemistryEnergy StorageCatalysisElectrochemical CellElectrochemical ProcessElectrochemistrySurface AreaTransition MetalsElectroanalytical SensorLasso Regression
Transition metals are highly sought after in electrode construction due their eventual electrocatalytic effects. In this context, this work presents the study of several metal oxide modified electrodes focusing in the evaluation of their electrochemical features through voltammetry and Electrochemical Impedance Spectroscopy (EIS). Moreover, a predictive statistical model was also developed using LASSO regression. Henceforth, glassy carbon electrode (GCE) and carbon paste electrode (CPE) were used to establish correlations between the herein studied modifications, namely: PdO@CPE, TiO 2 @CPE and LaFeO 3 @CPE. Results evidence that metal oxide modified electrodes may increase signal detection through electrocatalytic effects, however the herein developed model evidenced that surface area plays a major role in electrode response through voltammetry.