电化学2017，Vol.23Issue(2)：141-158,18.DOI:10.13208/j.electrochem.161245
基于电化学阵列计时电流数据对纳米颗粒或电化学活性纳米组分的分布重构
Reconstruction of Distributions of Nanoparticles or Electroactive Nano-Components in Electrochemical Arrays Based on Chronoamperometric Data
摘要
Abstract
The main scope of this work was to elaborate and test a simple mathematical and numerical procedure for reconstructing the probability density distributionsf(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 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.关键词
电化学阵列/计时电流/反问题/微纳米圆盘电极阵列/密度分布概率/沃罗诺伊镶嵌Key words
electrochemical arrays/chronoamperometry/inverse problem/micro-and nanodisk electrode arrays/density distribution probability/voronoi tessellation分类
化学化工引用本文复制引用
Alexander Oleinick,Oleksii Sliusrenko,Irina Svir,Christian Amatore..基于电化学阵列计时电流数据对纳米颗粒或电化学活性纳米组分的分布重构[J].电化学,2017,23(2):141-158,18.基金项目
This work was supported in parts by PSL,Ecole Normale Supérieure,CNRS,and the University Pierre and Marie Curie (UMR 8640).Support by the ANR-NSF bilateral (USA-France) program (ANR grant #ANR-AAP-CE06 "ChemCatNanoTech") is also greatly acknowledged. （UMR 8640）
