Implementation of generalised retention models in RPLC using serially coupled columns: a study based on lemon balm
P Peiró-Vila1, A J Mateu-Llácer1, M C García-Alvarez-Coque1
1Department of Analytical Chemistry, Faculty of Chemistry, Universitat de València, C/ Dr. Moliner 50, Burjassot, 46100, Spain.
Analytica Chimica Acta
|September 22, 2025
Summary
Generalised (or global) models (GEMs) can now predict peak reversals in chromatography when using coupled columns. This advancement enhances the practical application of GEMs for streamlined method development in analyzing complex samples like medicinal plants.
Area of Science:
- Analytical Chemistry
- Chromatography
- Chemometrics
Background:
- Generalised (or global) models (GEMs) offer accurate retention time prediction in reversed-phase liquid chromatography.
- Current GEMs struggle to predict elution order changes on single columns due to fixed system parameters.
Purpose of the Study:
- To investigate if GEMs can predict peak reversals in hybrid coupled column systems.
- To evaluate the accuracy of GEMs compared to individual solute models (ISMs) in predicting selectivity shifts.
Main Methods:
- Utilized serially coupled columns with distinct selectivity patterns (C18, phenyl, cyanohexyl).
- Employed bilinear gradients and analyzed 16 peaks from lemon balm extracts.
- Constructed GEMs for each column system and compared their predictive accuracy against ISMs.
Main Results:
- Confirmed that GEMs can anticipate peak reversals in coupled column setups.
- Demonstrated that solutes experience significant relative retention shifts between columns, leading to major selectivity changes.
- GEMs effectively predicted these selectivity shifts, including peak reversals, across different columns and gradient conditions.
Conclusions:
- Combining columns with diverse retention behaviors amplifies selectivity changes and broadens GEMs' applicability.
- GEMs in serially coupled systems can streamline method development for analyzing medicinal plants.
Keywords:
Generalised retention modelsGlobal modelsMedicinal plantsMulti-linear gradient elutionPrediction of peak reversalsSerially coupled columnsMore Related Videos
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