Fluorescence modeling for optimized-binary compressive detection Raman spectroscopy.

Area of Science:

• Analytical Chemistry
• Spectroscopy
• Chemical Imaging

Background:

• Raman spectroscopy is a powerful tool for chemical analysis but is often hindered by fluorescence interference.
• Existing methods struggle to accurately quantify Raman signals in the presence of significant fluorescence backgrounds.
• Optimized binary compressive detection (OB-CD) has previously shown promise for rapid sample classification and imaging.

Purpose of the Study:

• To demonstrate the capability of OB-CD for quantitative separation of Raman and fluorescence spectral features.
• To develop and validate a general strategy for fitting and suppressing fluorescence using OB-CD filters.
• To enable accurate Raman-based chemical analysis in samples with substantial fluorescence.

Main Methods:

• Utilized OB-CD filters trained on third-degree Bernstein polynomials for fluorescence fitting and suppression.
• Applied the OB-CD strategy to liquid samples and powdered mixtures with and without fluorescence.
• Compared classification and quantitation results obtained with and without fluorescence suppression.

Main Results:

• Achieved high-speed, quantitative Raman analysis in the presence of moderate fluorescence.
• Demonstrated effective suppression of fluorescence with variable shapes and during photobleaching.
• Validated the utility of OB-CD for separating Raman and fluorescence signals across different sample types.

Conclusions:

• OB-CD provides a robust method for quantitative chemical analysis by effectively separating Raman and fluorescence signals.
• The developed OB-CD strategy enables accurate quantitation even with challenging, variable fluorescence backgrounds.
• This approach significantly enhances the applicability of Raman spectroscopy in complex sample matrices.