Spectral reconstruction method based on the intensity-altered spectral distribution

Area of Science:

• Analytical Chemistry
• Spectroscopy
• Chemical Sensing

Background:

• Accurate absorption spectrum analysis is crucial for determining substance composition and concentration.
• Complex spectral data often presents challenges in analysis due to interference and non-linear features.

Purpose of the Study:

• To develop a spectral reconstruction method that transforms complex spectra into simpler, linear features.
• To improve the accuracy and anti-interference capabilities of spectral data analysis.

Main Methods:

• Reconstructing original spectra into new spectra with linear features based on absorption intensity.
• Calculating transformation matrices and mapping relationships from spectral data.
• Fitting the new, simplified spectra with a function to eliminate interference and offsets.

Main Results:

• Successfully transformed complex spectra into linear characteristic spectra.
• Demonstrated the elimination of interference and offsets through functional fitting.
• Validated the method's effectiveness in enhancing measurement accuracy and anti-interference.

Conclusions:

• The proposed spectral reconstruction method offers a significant improvement for spectral data analysis.
• This approach enhances the reliability of quantitative measurements in spectroscopy.
• The method shows promise for applications such as measuring sulfur dioxide (SO2) using ultraviolet absorption spectroscopy.