DA_2DCHROM - a data alignment tool for applications on real GC × GC-TOF samples.

Area of Science:

• Analytical Chemistry
• Chromatography
• Mass Spectrometry

Background:

• Comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC×GC-MS) offers high separation power for complex mixtures.
• Reproducibility challenges in GC×GC-MS, particularly retention time shifts, hinder long-term studies and inter-laboratory collaborations.
• Mass spectra are reproducible, but chromatographic data requires alignment for robust analysis.

Purpose of the Study:

• To present a novel, open-source software tool, DA_2DChrom, for addressing retention time shifts in GC×GC-MS data.
• To implement and evaluate multiple data alignment algorithms for improved reproducibility.
• To provide a user-friendly, online tool that does not require data uploading to third-party servers.

Main Methods:

• Implementation of five distinct data alignment algorithms: BiPACE 2D, DISCO, MSort, PAM, and TNT-DA.
• Inclusion of Pearson's correlation and dot product for optional mass spectra comparison.
• Testing of alignment algorithms on real samples and evaluation using Kolmogorov-Smirnov test values and comparison graphs.

Main Results:

• The DA_2DChrom tool successfully demonstrated the functionality of implemented data alignment algorithms on real GC×GC-MS samples.
• The study discussed the suitability of each algorithm for varying degrees of retention time shifts.
• Performance evaluation provided insights into the effectiveness of different alignment strategies.

Conclusions:

• DA_2DChrom offers a valuable solution for overcoming reproducibility issues in GC×GC-MS analysis.
• The open-source nature and online accessibility of the tool facilitate its adoption in research and collaboration.
• Accurate data alignment is crucial for reliable interpretation of complex chromatographic data.