Mechanistic Modelling of Cyclic Voltammetry a Useful Tool for Understanding Biosensor Principles

Abstract

Cyclic voltammetry (CV) is a significant electrochemical method commonly used in the development of biosensors for analyzing redox reactions and bio molecular interactions. This paper introduces a mechanistic modelling approach aimed at improving the interpretation of CV data within the framework of biosensor principles. Drawing from established theories in electrochemistry, we create a detailed model that takes into account the kinetics of electron transfer, diffusion effects, and how solution conditions impact current response. Through both simulation and experimental testing, we show that mechanistic modelling helps clarify key parameters that affect sensor performance, including sensitivity, selectivity, and response time. Our results indicate that this modelling approach not only facilitates the understanding of complex voltammetry data but also provides guidance for optimizing biosensor design. By linking theoretical concepts to practical applications, this work positions mechanistic modelling as a vital resource for advancing bio sensing technology and enhancing diagnostic methods in various biomedical fields.