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

CORC > 厦门大学 > 2017年第23卷

	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
	AlexanderOleinick ; OleksiiSliusarenko ; IrinaSvir ; ChristianAmatore ; Alexander Oleinick ; Oleksii Sliusarenko ; Irina Svir ; Christian Amatore
刊名	http://electrochem.xmu.edu.cn/CN/abstract/abstract10360.shtml
	2017-04-28
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 electrochemical arrays chronoamperometry inverse problem micro- and nanodisk electrode arrays density distribution probability voronoi tessellation
英文摘要	本文主要阐述和考察了一种简单的基于时间相关的电化学阵列计时电流响应数据来重构概率密度分布（f(ρ)）的数学和数值方法，并应用于表征平面导体电化学惰性表面存在的或沉积的电化学活性或电催化纳米组分的分布，建立了适用于三种阵列（一种周期性分散和两种随机分散）涉及近球形纳米组分在平滑表面分散的数学和数值有效方法. 而这三种阵列代表了大多数应用于分析或电催化的二维实验电化学纳米阵列.本文建立的重构步骤易于通过大多数商业数学程序来实现, 尽管方法简单，但允许恢复的概率密度精度很高, 即使是可利用的实验获得的时间范围太短时也能严格应用，因此，完全适合于大多数实验过程.; 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.; 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.; 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.; 作者联系地址：高等师范学院-巴黎文理研究大学联盟，化学系，索邦大学-巴黎第六大学，法国国家科学研究院混合研究单位8640巴斯德，洛蒙街24号，邮编75005，法国巴黎; Author's Address: Ecole Normale Supérieure-PSL Research University, Département de Chimie, Sorbonne Universités-UPMC Paris 6, CNRS UMR 8640 PASTEUR, 24 rue Lhomond, 75005 Paris, France; 通讯作者E-mail：christian.amatore@ens.fr
语种	中文
出版者	厦门大学《电化学》编辑部
内容类型	期刊论文
源URL	[http://dx.doi.org/10.13208/j.electrochem.161245]
专题	2017年第23卷
推荐引用方式 GB/T 7714	AlexanderOleinick,OleksiiSliusarenko,IrinaSvir,等. 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[J]. http://electrochem.xmu.edu.cn/CN/abstract/abstract10360.shtml,2017.
APA	AlexanderOleinick.,OleksiiSliusarenko.,IrinaSvir.,ChristianAmatore.,Alexander Oleinick.,...&Christian Amatore.(2017).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.http://electrochem.xmu.edu.cn/CN/abstract/abstract10360.shtml.
MLA	AlexanderOleinick,et al."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".http://electrochem.xmu.edu.cn/CN/abstract/abstract10360.shtml (2017).