Comparative study of the alignment method on experimental and simulated chromatographic data.

Area of Science:

• Analytical Chemistry
• Chemometrics

Background:

• Chromatographic data analysis faces challenges due to instrumental drifts and instabilities, affecting quality control and conformity assessments.
• Accurate comparison of test and reference samples in dynamic analytical environments requires compensating for signal shifts.
• Signal alignment is a mandatory preprocessing step before multivariate analysis in chromatography.

Purpose of the Study:

• To provide an updated review of alignment algorithms, methods, and improvements for one-dimensional chromatographic signals.
• To guide researchers and operators in selecting appropriate alignment methods based on signal characteristics.

Main Methods:

• Review of various signal alignment algorithms and their theoretical foundations.
• Discussion of different optimization strategies employed in alignment methods.
• Focus on techniques applicable to one-dimensional analytical signals.

Main Results:

• Identified common theoretical bases among different alignment methods.
• Highlighted variations in optimization techniques across reviewed methods.
• Emphasized the importance of method selection based on specific signal properties.

Conclusions:

• Signal alignment is a critical preprocessing step for reliable chromatographic data analysis.
• The choice of alignment method depends on the nature of the chromatographic signals.
• Further research and development in alignment techniques can enhance analytical accuracy and reproducibility.