[Resolution of overlapping Raman signals based on an adaptiveI immune algorithm]

Ling-yan Cao1, Ming-xiao Cheng, Zheng-wei Yu

  • 1School of Automation & Electrical Engineering, Nanjing University of Technology, Nanjing 210009, China. lhjayy@yahoo.com.cn

Summary

This study introduces an immune algorithm (IA) to resolve overlapping Raman signals from complex mixtures. The method accurately identifies and quantifies individual aromatic compounds, even with fluorescence interference.