Refining the scale-up of chromatographic separations

Area of Science:

• Chemical Engineering
• Separation Science
• Analytical Chemistry

Background:

• Scaling up chromatographic separations is complex, often requiring extensive preliminary experiments.
• Laboratory-scale data can be unreliable due to factors like improper column packing and poor flow distribution.
• Understanding macroscopic effects is crucial for accurate chromatographic process scale-up.

Purpose of the Study:

• To address key factors affecting chromatographic scale-up: peripheral effects, header flow distribution, and packing non-uniformity.
• To provide methods for characterizing and mitigating these scale-up challenges.
• To improve the reliability of preliminary experimental data for process development.

Main Methods:

• Utilizing nuclear magnetic resonance (NMR) imaging for detailed visualization.
• Employing computational fluid dynamics (CFD) for flow and mass transfer analysis.
• Conducting careful experimentation to validate findings and characterize system performance.

Main Results:

• Demonstrated efficient elimination of peripheral effects in chromatographic columns.
• Characterized header flow distribution and identified sources of non-uniformity.
• Quantified the impact of packing non-uniformity on separation performance.

Conclusions:

• Accurate characterization of flow distribution and packing is essential for reliable chromatographic scale-up.
• Advanced techniques like NMR imaging and CFD provide critical insights into macroscopic effects.
• Mitigating peripheral effects and non-uniformities improves the predictability of large-scale chromatographic processes.