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Simulation of GO-PAMAM-Modified Polysulfone Substrate-Based Thin-Film Composite Reverse-Osmosis Membranes for
Mohd Muzammil Zubair1,2, Syed Javaid Zaidi1
1UNESCO Chair in Desalination and Water Treatment, Center for Advanced Material, Qatar University, Doha P.O. Box 2713, Qatar.
Membranes
|June 25, 2026
Summary
This study computationally investigated graphene oxide-poly(amidoamine) (GO-PAMAM) in thin-film composite (TFC) membranes for reverse osmosis (RO). The GO-PAMAM modified membranes significantly improved salt rejection, offering a promising advancement for desalination technology.
Area of Science:
- Materials Science
- Chemical Engineering
- Environmental Science
Background:
- Growing freshwater scarcity necessitates advanced desalination techniques like reverse osmosis (RO).
- Improving the balance between water permeability and solute rejection in RO membranes is crucial.
- Nanomaterial incorporation is a key strategy for enhancing membrane performance.
Purpose of the Study:
- To computationally investigate the impact of graphene oxide-poly(amidoamine) (GO-PAMAM) on thin-film composite (TFC) membrane transport under RO conditions.
- To model the influence of varying GO-PAMAM concentrations on salt rejection and water flux.
- To validate computational model predictions against experimental data.
Main Methods:
- A two-dimensional computational model using COMSOL Multiphysics was developed, coupling Laminar Flow and Transport of Diluted Species interfaces.
- A solution-diffusion framework was employed to describe permeation, parameterized by experimental salt permeability coefficients.
- GO-PAMAM loading was varied (0-0.10 wt%) by adjusting intrinsic permeability parameters.
Main Results:
- Simulations successfully reproduced experimental trends for GO-PAMAM modified TFC membranes.
- A membrane with 0.06 wt% GO-PAMAM exhibited enhanced salt rejection, increasing from 78.16% to 90.08%.
- The model predicted reduced permeate-side solute concentration and a decrease in salt rejection along the membrane length.
Conclusions:
- The computational model accurately captures the transport behavior of GO-PAMAM-modified TFC membranes.
- GO-PAMAM incorporation significantly enhances salt rejection in TFC membranes for RO applications.
- The study demonstrates the potential of computational modeling for optimizing nanomaterial-enhanced desalination membranes.
