Artifacts and Anomalies in Raman Spectroscopy: A Review on Origins and Correction Procedures

Area of Science:

• Analytical Chemistry
• Spectroscopy
• Materials Science

Background:

• Raman spectroscopy offers molecular fingerprinting but is susceptible to artifacts.
• Instrumental, sampling, and sample-related factors introduce anomalies affecting spectral data.
• Accurate spectral analysis is crucial for industrial and academic applications.

Purpose of the Study:

• To review the origins and impacts of artifacts in Raman spectroscopy.
• To categorize and present existing correction procedures for Raman spectral anomalies.
• To identify limitations and highlight advancements in spectral correction techniques.

Main Methods:

• Comprehensive literature review of artifact origins and impacts.
• Categorization of correction procedures: computational, experimental, and deep learning (DL).
• Analysis of current limitations and recent breakthroughs in correction methodologies.

Main Results:

• Detailed discussion on factors causing Raman spectral artifacts.
• A structured overview of diverse artifact correction strategies.
• Identification of emerging DL-based methods for enhanced spectral accuracy.

Conclusions:

• Current correction procedures have limitations that require further research.
• Recent advancements show promise for improving Raman spectral data quality.
• Future research should focus on developing robust and efficient correction techniques.