Optimization of Nanofiltration Hollow Fiber Membrane Fabrication Process Based on Response Surface Method

Area of Science:

• Materials Science
• Chemical Engineering
• Membrane Technology

Background:

• Layer-by-layer (LBL) self-assembly is a key technology for nanofiltration membrane fabrication.
• A systematic approach is needed to assess factors influencing LBL membrane performance.
• Current methods lack comprehensive analysis of critical process parameters.

Purpose of the Study:

• To systematically optimize the LBL deposition process for nanofiltration membranes.
• To identify and quantify the influence of key fabrication parameters on membrane performance.
• To establish optimal conditions for high permeability and rejection.

Main Methods:

• Utilized a two-step statistical method for process optimization.
• Employed multiple linear regression to identify major influencing factors (PAH concentration, glutaraldehyde, NaCl concentration).
• Applied Box-Behnken response surface methodology for factor interaction analysis and polynomial fitting.

Main Results:

• Regression models showed high agreement between R-squared and adjusted R-squared values (0.97/0.93 and 0.94/0.86).
• Quadratic response models adequately predicted membrane performance.
• Optimal parameters yielded a permeability of 14.3 LMH·MPa⁻¹ and MgSO₄ rejection of 90.22%.

Conclusions:

• The statistical approach effectively optimized LBL membrane fabrication.
• Identified critical parameters influencing both permeability and rejection.
• Achieved high-performance nanofiltration membranes through systematic process control.