Analysis and optimization of electrochemiluminescence periodic signal processing based on singular value decomposition

Abstract

Electrochemiluminescence (ECL) detection is one of the most prevailing electrochromism approaches to test biotin and chemicals. As thorny ECL signals by impurities are devastative in judging the right substance and its concentration precisely, it is crucial to dispose the noise and process it into smooth curves without filtering essential biochemical information conveyed in the signal. This contribution investigates Singular Value Ratio (SVR) spectrum to extract periodic signals from every noise ECL signal. A novel improved method of rearranging periodic compositions from complex signals is proposed. Finally, actual ECL signal generated by Ru(bpy)32+ is analyzed and optimized to demonstrate that the improved technique is efficacious and feasible. Keywords: Electrochemiluminescence (ECL), Periodic signal extraction, Singular value decomposition (SVD), Singular value ratio (SVR)