Kokoskarova, Pavlinka and Gulaboski, Rubin (2019) Supplementary material (related to work): Theoretical Aspects of a Surface Electrode Reaction Coupled with Preceding and Regenerative Chemical Steps: Square‐wave Voltammetry of a Surface CEC’ Mechanism (published in Electroanalysis 2019). [Dataset]
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Supplementary Material related to surface CEC' mechanism in SWV Electroanalysis 2019.pdf - Published Version Download (506kB) | Preview |
Abstract
In this data set, we give the entire MATHCAD file related to the surface CEC' mechanism in Square-wave voltammetry. The model is solved for the first time under voltammetric conditions.
In described work, we focus on the application of square‐wave voltammetry (SWV) to study the theoretical features of a surface electrode reaction coupled with two chemical steps. The starting electroactive form Ox(ads) in this mechanism gets initially generated via preceding chemical reaction. After undergoing redox transformation at the working electrode, Ox(ads) species got additionally regenerated via chemical reaction of electrochemically generated product Red(ads) with a given substrate Y. The theory of this so‐called surface CEC’ mechanism is presented for the first time under conditions of square‐wave voltammetry. While we present plenty of calculated voltammograms of this complex electrode mechanism, we focus on the effect of rate of regenerative (catalytic) step to simulated voltammograms. We consider both, electrochemical reactions featuring moderate and fast electron transfer. The obtained voltammetric patterns are very specific, having sometime hybrid‐like features of voltammograms as typical for CE, EC and EC’ mechanisms. We give diagnostic criteria to recognize this complex mechanism in SWV, but we also present hints to access the kinetic and thermodynamic parameters relevant to both chemical steps, and the electrochemical reaction, too. Indeed, the results presented in this work can help experimentalists to design proper experiments to study chemical features of important lipophilic systems.
| Item Type: | Dataset |
|---|---|
| Subjects: | Natural sciences > Chemical sciences Natural sciences > Matematics |
| Divisions: | Faculty of Medical Science |
| Depositing User: | Rubin Gulaboski |
| Date Deposited: | 19 Nov 2019 09:32 |
| Last Modified: | 19 Nov 2019 09:32 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/22886 |
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