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

• This paper creatively applied the SVD and SVR theory in ECL signal processing.
• Improved energy SVD method is the most applicable to ECL signals with on-chip impurities.
• By modifying the algorithm and program, the ECL noise has been filtered to various extent.
• The signal was refined with less oscillation, less fluctuation was generated, and almost no error accumulated.

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.