New Model Revolutionizes Catalytic Membrane Design
Rice University researchers, led by Menachem Elimelech and former postdoctoral fellow Yanghua Duan, developed the first mechanistic model that shows how catalytic membranes can filter and transform contaminants in one step.
Reactive nanofiltration membranes have been ideal for removing salts, heavy metals, and organic pollutants. However, their potential has been difficult to realize because performance was unpredictable and restricted to trial and error.
"Until now, most progress in reactive nanofiltration membranes has been empirical. We've lacked a solid framework to understand and optimize how these membranes actually work," said Elimelech, the Nancy and Clint Carlson Professor of Civil and Environmental Engineering.
With the new model, simulating the way oxidants and pollutants move and react inside catalytic membranes under realistic conditions allowed the researchers to identify the impact of catalyst placement, membrane thickness, pore size, and water flow on the outcomes.
One critical insight was that membrane behavior changes based on water flux. According to Duan, currently an assistant professor at Colorado State University, surface-loaded catalysts dominate at low flow rates. However, at higher rates, the reactions occur deeper within the membrane.
In addition, Elimelech emphasized the importance of knowing the optimal catalyst distribution. They revealed in the study that more catalyst is not always better. While too little slows reactions, excess catalysts can create transport bottlenecks.
"For the first time, we can simulate how changes at the molecular scale ripple out to influence full-system performance. That can help us build decentralized systems that serve both developed and underserved communities," Duan added.
The team also introduced new performance metrics that can help engineers evaluate and improve designs beyond simple removal rates.
Read the full article here to learn more about the new process modeling framework.
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