Peak-tracking algorithm for use in comprehensive two-dimensional liquid chromatography - Application to...

Area of Science:

• Analytical Chemistry
• Chromatography
• Mass Spectrometry

Background:

• Comprehensive two-dimensional liquid chromatography coupled to mass spectrometry (LC-MS) is a powerful analytical technique.
• Accurate peak tracking is crucial for data analysis and method optimization in complex LC-MS experiments.
• Existing methods may struggle with accurate peak identification and pairing in complex datasets.

Purpose of the Study:

• To develop and validate a robust peak-tracking algorithm for LC-MS.
• To improve the accuracy and reliability of chromatographic peak identification and pairing.
• To facilitate retention modeling and method optimization in LC-MS.

Main Methods:

• Development of a three-branch algorithm: pre-processing, comparison, and evaluation.
• Utilizing spectral information, statistical moments, and relative retention times for peak tracking.
• Incorporating system peak removal and search windows to optimize computational efficiency.

Main Results:

• The algorithm successfully tracked chromatographic peaks across different chromatograms.
• No false positives were observed in the peak pairing results.
• Limitations identified include cross-pairing within the same peaks and six trace compounds remaining unpaired due to peak detection issues.

Conclusions:

• The developed peak-tracking algorithm demonstrates high accuracy and reliability for LC-MS data analysis.
• The algorithm shows potential for advancing retention modeling and method optimization tools.
• Further refinement of the peak detection component is recommended to address remaining limitations.