Effect of background correction on peak detection and quantification in online comprehensive two-dimensional liquid...

Area of Science:

• Analytical Chemistry
• Chromatography

Background:

• Background noise is a significant challenge in chromatography, affecting data accuracy.
• Effective background correction is crucial for reliable peak detection and quantification.

Purpose of the Study:

• To propose and evaluate a singular value decomposition-based background correction (SVD-BC) technique for LC×LC data.
• To compare SVD-BC with blank subtraction and asymmetric weighted least squares (AWLS) methods.

Main Methods:

• Singular Value Decomposition-based Background Correction (SVD-BC).
• Comparison with blank chromatogram subtraction.
• Evaluation against Asymmetric Weighted Least Squares (AWLS) for one-dimensional chromatography.

Main Results:

• SVD-BC significantly reduced background artifacts and better preserved peak intensity compared to AWLS.
• AWLS completely removed background artifacts but reduced peak intensity, leading to lower peak counts.
• SVD-BC introduced noise, causing false peaks at lower detection thresholds, while AWLS provided more precise peak counts.

Conclusions:

• Both SVD-BC and AWLS offer improvements in background correction for LC×LC data.
• SVD-BC excels in peak intensity preservation, while AWLS provides better peak count precision at lower thresholds.
• Neither method demonstrated a statistically significant improvement in overall peak quantification accuracy.