Ken Kinooka, Keizo Nakagawa, Hideto Matsuyama, Yu Fujimura, Takahiro Kawakatsu and Tomohisa Yoshioka
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引用次数: 0
Abstract
Fouling is a major problem in reverse-osmosis plants. Fouling is believed to be caused by interactions between membranes and foulants. Experimental observation of fouling is very difficult, however, and in this study molecular dynamics (MD) simulations are used to analyze fouling on a molecular scale to elucidate the adsorption mechanisms of polyamide (PA) reverse-osmosis (RO) membranes affected by the fouling phenomenon. Because proteins are common foulants, a dimeric dipeptide of amino acids constituting a protein was used as a model. The dissociation of the membrane and that of the foulants that results from changes in pH were investigated on a molecular scale and by experimental water permeation testing. At pH 2.5, the foulants L-leucyl-L-aspartic acid (Lasp) and L-leucyl-L-arginine (Larg) showed a tendency toward constant adsorption to the membrane with no significant difference in interaction energy. At pH 7.0, on the other hand, the membrane surface charge turned negative and the total charge of the Lasp and Larg foulants became negative and positive, respectively. Lasp was not close to the membrane surface and demonstrated repulsive and weak adsorption tendencies. On the other hand, Larg penetrated deeply into the membrane surface and showed a strong adsorption tendency. The fouling mechanism in the adsorption simulation varied depending on the conditions, and simulations confirmed that the fouling was very strong when the charges of a foulant and the PA membrane were opposite. These observed trends are similar to those reported from experimental water permeation testing.
期刊介绍:
Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions.
The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.