Reconstruction of Distributions of Nanoparticles or Electroactive Nano-Components in Electrochemical Arrays Based on Chronoamperometric Data

Authors

Alexander Oleinick, Ecole Normale Supérieure-PSL Research University, Département de Chimie, Sorbonne Universités-UPMC Paris 6, CNRS UMR 8640 PASTEUR, 24 rue Lhomond, 75005 Paris, France;
Oleksii Sliusarenko, Ecole Normale Supérieure-PSL Research University, Département de Chimie, Sorbonne Universités-UPMC Paris 6, CNRS UMR 8640 PASTEUR, 24 rue Lhomond, 75005 Paris, France;
Irina Svir, Ecole Normale Supérieure-PSL Research University, Département de Chimie, Sorbonne Universités-UPMC Paris 6, CNRS UMR 8640 PASTEUR, 24 rue Lhomond, 75005 Paris, France;
Christian Amatore, Ecole Normale Supérieure-PSL Research University, Département de Chimie, Sorbonne Universités-UPMC Paris 6, CNRS UMR 8640 PASTEUR, 24 rue Lhomond, 75005 Paris, France;Follow

Corresponding Author

Christian Amatore(christian.amatore@ens.fr)

Abstract

The main scope of this work was to elaborate and test a simple mathematical and numerical procedure for reconstructing the probability density distributions f(ρ) characterizing the distribution of electroactive or electrocatalytic nano-components present or deposited on the electrochemically-inert surface of a planar conductor based on the time-dependent chronoamperometric responses of the corresponding electrochemical array. The mathematical and numerical validity of the procedure was established for three types of arrays (one periodical, two involving random dispersions) involving near-spherical nano-components dispersed on a flat surface. Indeed, altogether, these three types represent most 2D-experimental electrochemical nano-arrays used for analytical or electrocatalytic purposes. This reconstruction procedure is easily implementable using most commercial mathematical programs. Albeit the simplicity of its implementation, it allowed recovering probability densities with an excellent precision, even when the available time-range experimentally accessible was too short for its rigorous application, being thus perfectly adequate to most experimental purposes.

Graphical Abstract

Keywords

electrochemical arrays, chronoamperometry, inverse problem, micro- and nanodisk electrode arrays, density distribution probability, voronoi tessellation

DOI Link

https://doi.org/10.13208/j.electrochem.161245

Publication Date

2017-04-28

Online Available Date

2017-03-22

Revised Date

2017-03-17

Received Date

2017-01-03

Recommended Citation

Alexander Oleinick, Oleksii Sliusarenko, Irina Svir, Christian Amatore. Reconstruction of Distributions of Nanoparticles or Electroactive Nano-Components in Electrochemical Arrays Based on Chronoamperometric Data[J]. Journal of Electrochemistry, 2017 , 23(2): 141-158.
DOI: 10.13208/j.electrochem.161245
Available at: https://jelectrochem.xmu.edu.cn/journal/vol23/iss2/5