Literature DB >> 25853230

Theoretical Analysis of the Relative Significance of Thermodynamic and Kinetic Dispersion in the dc and ac Voltammetry of Surface-Confined Molecules.

Graham P Morris1, Ruth E Baker1, Kathryn Gillow1, Jason J Davis2, David J Gavaghan3, Alan M Bond4.   

Abstract

Commonly, significant discrepancies are reported in theoretical and experimental comparisons of dc voltammograms derived from a monolayer or close to monolayer coverage of redox-active surface-confined molecules. For example, broader-than-predicted voltammetric wave shapes are attributed to the thermodynamic or kinetic dispersion derived from distributions in reversible potentials (E(0)) and electrode kinetics (k(0)), respectively. The recent availability of experimentally estimated distributions of E(0) and k(0) values derived from the analysis of data for small numbers of surface-confined modified azurin metalloprotein molecules now allows more realistic modeling to be undertaken, assuming the same distributions apply under conditions of high surface coverage relevant to voltammetric experiments. In this work, modeling based on conventional and stochastic kinetic theory is considered, and the computationally far more efficient conventional model is shown to be equivalent to the stochastic one when large numbers of molecules are present. Perhaps unexpectedly, when experimentally determined distributions of E(0) and k(0) are input into the model, thermodynamic dispersion is found to be unimportant and only kinetic dispersion contributes significantly to the broadening of dc voltammograms. Simulations of ac voltammetric experiments lead to the conclusion that the ac method, particularly when the analysis of kinetically very sensitive higher-order harmonics is undertaken, are far more sensitive to kinetic dispersion than the dc method. ac methods are therefore concluded to provide a potentially superior strategy for addressing the inverse problem of determining the k(0) distribution that could give rise to the apparent anomalies in surface-confined voltammetry.

Year:  2015        PMID: 25853230     DOI: 10.1021/la5042635

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  5 in total

1.  Electrochemical evidence that pyranopterin redox chemistry controls the catalysis of YedY, a mononuclear Mo enzyme.

Authors:  Hope Adamson; Alexandr N Simonov; Michelina Kierzek; Richard A Rothery; Joel H Weiner; Alan M Bond; Alison Parkin
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-11       Impact factor: 11.205

2.  Probing biological redox chemistry with large amplitude Fourier transformed ac voltammetry.

Authors:  Hope Adamson; Alan M Bond; Alison Parkin
Journal:  Chem Commun (Camb)       Date:  2017-08-24       Impact factor: 6.222

3.  Retuning the Catalytic Bias and Overpotential of a [NiFe]-Hydrogenase via a Single Amino Acid Exchange at the Electron Entry/Exit Site.

Authors:  Hope Adamson; Martin Robinson; John J Wright; Lindsey A Flanagan; Julia Walton; Darrell Elton; David J Gavaghan; Alan M Bond; Maxie M Roessler; Alison Parkin
Journal:  J Am Chem Soc       Date:  2017-07-26       Impact factor: 15.419

4.  Performance of electrochemical immunoassays for clinical diagnostics of SARS-CoV-2 based on selective nucleocapsid N protein detection: Boron-doped diamond, gold and glassy carbon evaluation.

Authors:  Wioleta Białobrzeska; Mateusz Ficek; Bartłomiej Dec; Silvio Osella; Bartosz Trzaskowski; Andres Jaramillo-Botero; Mattia Pierpaoli; Michał Rycewicz; Yanina Dashkevich; Tomasz Łęga; Natalia Malinowska; Zofia Cebula; Daniel Bigus; Daniel Firganek; Ewelina Bięga; Karolina Dziąbowska; Mateusz Brodowski; Marcin Kowalski; Mirosława Panasiuk; Beata Gromadzka; Sabina Żołędowska; Dawid Nidzworski; Krzysztof Pyrć; William A Goddard; Robert Bogdanowicz
Journal:  Biosens Bioelectron       Date:  2022-04-08       Impact factor: 12.545

Review 5.  Methodologies for "Wiring" Redox Proteins/Enzymes to Electrode Surfaces.

Authors:  Nicholas D J Yates; Martin A Fascione; Alison Parkin
Journal:  Chemistry       Date:  2018-06-06       Impact factor: 5.236

  5 in total

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