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Morris GP, Simonov AN, Mashkina EA, et al. A comparison of fully automated methods of data analysis and computer assisted heuristic methods in an electrode kinetic study of the pathologically variable [Fe(CN)6](3-/4-) process by AC voltammetry. Anal Chem. 2013;85(24):11780-7doi: 10.1021/ac4022105.
Morris, G. P., Simonov, A. N., Mashkina, E. A., Bordas, R., Gillow, K., Baker, R. E., Gavaghan, D. J., & Bond, A. M. (2013). A comparison of fully automated methods of data analysis and computer assisted heuristic methods in an electrode kinetic study of the pathologically variable [Fe(CN)6](3-/4-) process by AC voltammetry. Analytical chemistry, 85(24), 11780-7. https://doi.org/10.1021/ac4022105
Morris, Graham P, et al. "A comparison of fully automated methods of data analysis and computer assisted heuristic methods in an electrode kinetic study of the pathologically variable [Fe(CN)6](3-/4-) process by AC voltammetry." Analytical chemistry vol. 85,24 (2013): 11780-7. doi: https://doi.org/10.1021/ac4022105
Morris GP, Simonov AN, Mashkina EA, Bordas R, Gillow K, Baker RE, Gavaghan DJ, Bond AM. A comparison of fully automated methods of data analysis and computer assisted heuristic methods in an electrode kinetic study of the pathologically variable [Fe(CN)6](3-/4-) process by AC voltammetry. Anal Chem. 2013 Dec 17;85(24):11780-7. doi: 10.1021/ac4022105. Epub 2013 Dec 03. PMID: 24160752.
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Anal Chem. 2013 Dec 17;85(24):11780-7. doi: 10.1021/ac4022105. Epub 2013 Dec 03.

A comparison of fully automated methods of data analysis and computer assisted heuristic methods in an electrode kinetic study of the pathologically variable [Fe(CN)6](3-/4-) process by AC voltammetry.

Analytical chemistry

Graham P Morris, Alexandr N Simonov, Elena A Mashkina, Rafel Bordas, Kathryn Gillow, Ruth E Baker, David J Gavaghan, Alan M Bond

Affiliations

  1. Mathematical Institute, University of Oxford , Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, United Kingdom.

PMID: 24160752 DOI: 10.1021/ac4022105

Abstract

Fully automated and computer assisted heuristic data analysis approaches have been applied to a series of AC voltammetric experiments undertaken on the [Fe(CN)6](3-/4-) process at a glassy carbon electrode in 3 M KCl aqueous electrolyte. The recovered parameters in all forms of data analysis encompass E(0) (reversible potential), k(0) (heterogeneous charge transfer rate constant at E(0)), α (charge transfer coefficient), Ru (uncompensated resistance), and Cdl (double layer capacitance). The automated method of analysis employed time domain optimization and Bayesian statistics. This and all other methods assumed the Butler-Volmer model applies for electron transfer kinetics, planar diffusion for mass transport, Ohm's Law for Ru, and a potential-independent Cdl model. Heuristic approaches utilize combinations of Fourier Transform filtering, sensitivity analysis, and simplex-based forms of optimization applied to resolved AC harmonics and rely on experimenter experience to assist in experiment-theory comparisons. Remarkable consistency of parameter evaluation was achieved, although the fully automated time domain method provided consistently higher α values than those based on frequency domain data analysis. The origin of this difference is that the implemented fully automated method requires a perfect model for the double layer capacitance. In contrast, the importance of imperfections in the double layer model is minimized when analysis is performed in the frequency domain. Substantial variation in k(0) values was found by analysis of the 10 data sets for this highly surface-sensitive pathologically variable [Fe(CN)6](3-/4-) process, but remarkably, all fit the quasi-reversible model satisfactorily.

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