Coupled transport processes in responding membranes: the case of a single gradient
文献信息
Christoffer Åberg, Håkan Wennerström
We present a theoretical study of two coupled diffusion processes through a membrane which is able to respond to the presence of the diffusing substances with a phase change. The case we consider is when the direct driving force for one of the processes vanishes, i.e. when the chemical potential of one of the components, or some other intensive variable, is kept equal in the two reservoirs surrounding the membrane. The coupling of the two transport processes results in non-zero gradients inside the membrane also for the variable that is equal in the two reservoirs. There is a concomitant change in the phase coexistence compared to the behaviour expected if only considering the external conditions. The transport properties of the two phases within the membrane have to be different for this effect to occur, but otherwise the prerequisites are rather general. An analogous effect is expected for the case of coupled diffusion and heat conduction. Amphiphilic systems or biological membranes often show large changes in structure and transport properties due to small variations in thermodynamic variables such as temperature, the osmotic pressure of the solvent or the presence of cosolvents and cosolutes. The effects we find are therefore particularly relevant to these systems.
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Physical Chemistry Chemical Physics

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.














