Effect of membrane morphology on system capacity during normal flow microfiltration

Area of Science:

• Biochemical Engineering
• Separation Science
• Materials Science

Background:

• Membrane fouling critically affects microfiltration system capacity, influencing design and scale-up.
• Membrane morphology and structure play a key role in the rate and extent of fouling.
• Accurate prediction of system capacity requires understanding fouling mechanisms and membrane properties.

Purpose of the Study:

• To investigate the effect of microfiltration membrane morphology on system capacity during protein filtration.
• To develop and validate a new model that accounts for pore blockage, cake formation, and membrane morphology.
• To compare the predictive accuracy of the new model with traditional methods like V(max) analysis.

Main Methods:

• Experimental protein microfiltration using model membranes with homogeneous and composite structures.
• Acquisition of system capacity and flux decline data.
• Comparison of experimental data with predictions from a novel model incorporating membrane morphology and fouling mechanisms.

Main Results:

• Membranes with highly interconnected pores demonstrated significantly higher system capacity.
• The new model accurately predicted flux decline and system capacity, outperforming V(max) analysis.
• Fluid flow dynamics around surface blockages in interconnected pores mitigated flux decline.

Conclusions:

• Membrane morphology is a crucial factor determining microfiltration system capacity.
• The developed model provides more accurate predictions of system capacity by considering membrane structure and fouling.
• Understanding these effects is vital for optimizing microfiltration system design and scale-up.