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Revisiting column selectivity choices in ultra-high performance liquid chromatography-Using multidimensional
Arnold Zöldhegyi1, Krisztián Horváth2, Róbert Kormány3
1Department of Analytical Chemistry, University of Pannonia, Egyetem u. 10, 8200 Veszprém, Hungary; Molnár-Institute for Applied Chromatography, Schneeglöckchenstrasse 47, 10407 Berlin, Germany.
Journal of Chromatography. A
|February 29, 2024
Summary
Multivariate modeling helps select interchangeable liquid chromatography (LC) columns by comparing 3D separation models. This study identified surprising equivalences and differences between C18 UHPLC columns for amlodipine impurity analysis.
Area of Science:
- Analytical Chemistry
- Chromatography
Background:
- Current column selection systems (CSS) offer limited practical reliability for choosing alternative chromatographic phases.
- Lack of specific equivalence points and appropriate running conditions hinders reliable phase selection.
Purpose of the Study:
- To utilize multivariate modeling for characterizing complex LC separation systems.
- To build and compare 3D separation models for amlodipine and its impurities.
- To identify shared method conditions for interchangeable UHPLC columns.
Main Methods:
- Employed Design Space modeling software (DryLab) based on a systematic workflow.
- Focused on amlodipine and related impurities using 5 different C18-modified UHPLC columns.
- Generated and compared 3-dimensional separation models (Design Spaces).
Main Results:
- Identified several equivalences between the Design Spaces of markedly different C18 UHPLC columns.
- Observed clear differences in modeled Design Spaces between columns with predicted similarities.
- Demonstrated the utility of multivariate modeling for assessing column interchangeability.
Conclusions:
- Multivariate modeling provides a robust approach to characterize LC separation systems and assess column interchangeability.
- The study revealed unexpected column equivalences and differences, highlighting the need for detailed modeling beyond basic column data.
- This systematic workflow aids in identifying optimal and interchangeable UHPLC conditions for impurity profiling.
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