Abstract
Varying the phase composition of a multi-component two-phase system during a centrifugal partition chromatography (CPC) separation leads to additional degrees of freedom to influence the separation efficiency and total separation time. Optimisation of a CPC (gradient) separation is a difficult task due to the large number of two-phase systems and the different elution modes that can be applied. A model is presented that predicts effluent concentration profiles of gradient elution, given the partition coefficients of the components and a mass transfer relationship as a function of the local phase composition, at a fixed flow-fate, stationary phase hold-up and rotational frequency. The model is verified by comparing the results of simulated effluent concentration profiles to experimental effluent concentration profiles. It is shown how the composition dependent parameters needed for the model predictions can be accessed experimentally. By performing model aided optimisation of CPC separations the time needed for optimising a gradient elution, and the need for laborious experimental work is reduced significantly.
| Original language | English |
|---|---|
| Pages (from-to) | 13-22 |
| Number of pages | 10 |
| Journal | Journal of Chromatography A |
| Volume | 773 |
| Issue number | 1-2 |
| DOIs | |
| Publication status | Published - 27 Jun 1997 |
| Externally published | Yes |
Keywords
- Centrifugal partition chromatography
- Counter-current chromatography
- Gradient elution
- Mathematical modelling;
- Phenols