Automatic baseline correction of vibrational circular dichroism spectra

Area of Science:

• Spectroscopy
• Computational Chemistry
• Data Analysis

Background:

• Baseline drift is a common artifact in vibrational circular dichroism (VCD) spectra.
• Accurate baseline correction is crucial for reliable spectral interpretation and quantitative analysis.
• Existing methods often require significant user intervention or are limited in scope.

Purpose of the Study:

• To develop and validate a robust, automated three-phase computational method for VCD spectra baseline correction.
• To demonstrate the method's accuracy and flexibility using (R)-camphor VCD spectra.
• To optimize the algorithm for minimal user intervention and full automation.

Main Methods:

• A three-phase computational approach involving spectral segmentation, gradient-based discrimination, and simultaneous median-based baseline estimation.
• Utilized (R)-camphor VCD spectra as test cases.
• Employed analysis of variance (ANOVA) on simulated spectra to optimize parameters and achieve automation.

Main Results:

• The proposed method accurately removed baseline components from VCD spectra with minimal user intervention.
• The algorithm demonstrated flexibility by incorporating prior spectral information, such as symmetry.
• Optimization via ANOVA indicated that band point discrimination could be omitted, and two default parameters adopted for automation.

Conclusions:

• The developed three-phase computational method provides an effective and user-friendly solution for VCD spectra baseline correction.
• The method's accuracy, flexibility, and potential for automation make it a valuable tool for spectroscopic analysis.
• Further application and validation on diverse VCD datasets are warranted.