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Updated: May 20, 2026

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Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
Published on: May 18, 2011
[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
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|July 26, 2012
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.
Area of Science:
- Analytical Chemistry
- Spectroscopy
Context:
- Raman spectroscopy offers rapid, in situ measurements for real-time process control.
- Overlapping spectral peaks in complex samples pose a significant challenge for accurate analysis.
- Fluorescence background noise can further complicate Raman spectra interpretation.
Purpose:
- To develop and validate an immune algorithm (IA) for resolving overlapping Raman spectral peaks.
- To enhance the quantitative determination of aromatic compounds in mixtures.
- To address fluorescence background disturbances in Raman spectra analysis.
Summary:
- An immune algorithm (IA) was applied to deconvolve overlapping Raman signals from aromatic compounds.
- The IA effectively extracted individual Raman spectra, achieving accurate quantitative determination with <1% relative error.
- An adaptive IA, combined with independent component analysis, was proposed to resolve fluorescence background noise.
Impact:
- Provides a robust method for accurate identification and quantification of components in complex mixtures using Raman spectroscopy.
- Offers a novel approach for analyzing Raman spectra of samples with significant spectral overlap and fluorescence.
- Enhances the utility of Raman spectroscopy for real-time online monitoring and process control in challenging environments.
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