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Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

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A simple, robust orthogonal background correction method for two-dimensional liquid chromatography.

Marcelo R Filgueira¹, Cecilia B Castells, Peter W Carr

¹Department of Chemistry, Smith and Kolthoff Halls, University of Minnesota, 207 Pleasant Street S.E., Minneapolis, Minnesota 55455, USA.

Analytical Chemistry

|June 19, 2012

Summary

This summary is machine-generated.

This study introduces an improved background correction method for fast online comprehensive two-dimensional liquid chromatography (LC×LC). The technique enhances quantification accuracy by effectively addressing baseline disturbances without needing blank samples.

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Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

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Published on: May 20, 2013

Area of Science:

Analytical Chemistry
Chromatography

Background:

Baseline drift is a critical issue in chromatography, impacting quantification accuracy.
Fast online comprehensive two-dimensional liquid chromatography (LC×LC) with diode array detection (DAD) suffers from severe baseline disturbances due to mobile phase refractive index changes in rapid gradients.

Purpose of the Study:

To develop an effective background correction method for LC×LC.
To improve quantification accuracy in LC×LC by addressing baseline disturbances.

Main Methods:

Adapting existing one-dimensional (1D) liquid chromatography baseline correction methods.
Applying these methods orthogonally to the second dimension ((2)D) in LC×LC.

Main Results:

Achieved a dramatically improved 2D background correction.
Obtained an almost zero mean background level.
Demonstrated superior performance compared to simple blank subtraction, without requiring a blank sample run.

Conclusions:

The proposed method significantly enhances background correction in LC×LC.
This approach simplifies peak detection and quantification procedures.
It offers a more accurate and efficient alternative to existing methods for LC×LC analysis.