Submitted to: Nonlinear Computer Modeling of Chemical and Biochemical Data
Publication Type: Book / Chapter
Publication Acceptance Date: 5/4/1995
Publication Date: N/A
Interpretive Summary: Book chapter - interpretive summary is not required.
Technical Abstract: Chapter 11 discusses analyzing voltammetric experimental data using nonlinear regression models. The general characteristics of voltammetry are discussed in detail. Voltammetry is categorized into three methodologies steady state, cyclic, and square wave. All three are presented with a presentation of derived molecular based parameters and examples of data analysis. Several models for the steady state voltammetry such as reversible electron transfer, steady state linear sweep voltammetry, electrochemical catalysis, electron transfer rate constants and reversible electron transfer at ultra- microelectrodes are presented. Highly resistive media rotating disk, ultra-microelectrode voltammetry, normal pulse voltammetry, errors in k and NPV analysis of electron transfer rates in electro-active films are also presented. Cyclic voltammetry discusses reversible and diffusion-kinetic control as well as electrochemical catalysis.