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Sample-independent approach to normalize two-dimensional data for orthogonality evaluation using whole separation
Jaroslava Jáčová1, Alžběta Gardlo1, David Friedecký1
1Laboratory of Metabolomics, Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacký University Olomouc, Hněvotínská 5, 779 00 Olomouc, Czech Republic; Department of Clinical Chemistry, University Hospital Olomouc, I. P. Pavlova 6, 779 00 Olomouc, Czech Republic.
A new Whole Separation Space Scaling (WOSEL) method improves orthogonality assessment in two-dimensional chromatography. This sample-independent approach provides more reliable evaluation of separation systems, crucial for analytical method development.
Area of Science:
- Analytical Chemistry
- Chromatography
- Separation Science
Background:
- Orthogonality is critical for evaluating the separation power of two-dimensional chromatography systems.
- Current scaling methods for orthogonality assessment are sample-dependent, leading to variable results.
- Sample composition can significantly impact the perceived orthogonality by influencing the normalized retention space.
Purpose of the Study:
- To introduce a novel, sample-independent scaling approach for orthogonality evaluation in 2D chromatography.
- To develop the Whole Separation Space Scaling (WOSEL) method for a more robust assessment of chromatographic systems.
- To demonstrate the superiority of WOSEL over existing methods in terms of stability and accuracy.
Main Methods:
- Development of the Whole Separation Space Scaling (WOSEL) approach, considering the entire separation space defined by the analytical method.
- Comparison of WOSEL with two conventional sample-dependent scaling methods.
- Validation using in silico-generated chromatograms and real-world separation data from human biofluids and petroleum samples.
Main Results:
- WOSEL demonstrated superior sample-to-sample stability (3.8%) compared to existing methods (7.0% and 10.1%) on real samples.
- The WOSEL approach provides an orthogonality evaluation that is independent of the specific sample analyzed.
- Existing methods were shown to potentially yield misleading conclusions about the overall orthogonality of 2D chromatographic systems.
Conclusions:
- The Whole Separation Space Scaling (WOSEL) method offers a more reliable and stable assessment of orthogonality in two-dimensional chromatography.
- WOSEL ensures that the evaluation of separation system efficiency is not biased by sample-specific retention characteristics.
- This method enhances the accuracy of orthogonality assessment, crucial for optimizing complex separation techniques.
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