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Updated: May 3, 2026

Microhoneycomb Monoliths Prepared by the Unidirectional Freeze-drying of Cellulose Nanofiber Based Sols: Method and Extensions
Published on: May 24, 2018
Design of monoliths through their mechanical properties
Aleš Podgornik1, Aleš Savnik2, Janez Jančar2
1BIA Separations d.o.o., Mirce 21, 5270 Ajdovščina, Slovenia; COBIK, Tovarniška 26, 5270 Ajdovščina, Slovenia.
This study reveals how mechanical properties like compression modulus impact chromatographic monolith performance. A new model predicts pressure drop and aids in designing robust monoliths for biomolecule purification.
Area of Science:
- Chromatography
- Materials Science
- Bioseparation
Background:
- Chromatographic monoliths are promising supports for analytics and purification, particularly for large biomolecules.
- Existing research extensively covers monolith features, but the influence of mechanical properties on chromatographic performance remains unexplored.
Purpose of the Study:
- To investigate the effect of porosity, pore size, and chemical modification on the compression modulus of methacrylate monoliths.
- To develop a mathematical model predicting monolith permeability changes based on mechanical properties.
Main Methods:
- Compression modulus measurements of methacrylate monoliths with varying porosity, pore size, and chemical modifications.
- Derivation and validation of a mathematical model correlating compression modulus with monolith permeability.
- Experimental validation using monoliths of diverse geometries and pore sizes.
Main Results:
- A linear correlation was identified between monolith pore size and compression modulus.
- Monolith porosity exhibited an exponential relationship with compression modulus.
- Chemical modification was found to alter monolith porosity without compromising skeleton integrity.
- The developed mathematical model accurately predicted pressure drop increases due to monolith compressibility.
Conclusions:
- Monolith mechanical properties, specifically compression modulus, are critical for predicting chromatographic performance.
- The derived mathematical model enables accurate prediction of pressure drop and facilitates the design of monoliths with optimal hydrodynamic properties.
- This work provides a pathway for designing robust chromatographic monoliths with predictable permeability for specific applications.
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