Computational investigations of Bio-MOF membranes for uremic toxin separation

Title Computational investigations of Bio-MOF membranes for uremic toxin separation
Author Palabıyık, Büşra Akkoca, Batyrov, Merdan, Fındıkçı, İlknur Eruçar
Publication Date: 2022-01-15
Publication Place - Elsevier
Subject Bio-compatible metal organic framework, Creatinine, Diffusion, Hemodialysis membrane, Urea, Uremic toxin
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 1383-5866
Record ID 2e8b33b9-7ef2-4830-938b-7d5b96311d56
Library Location Mechanical Engineering
Date 2022-01-15
Sample Text Developing new and efficient methods as an alternative to hemodialysis is important due to the challenges associated with poor efficiency of membranes and long dialysis sessions. Recently, metal organic frameworks (MOFs) have attracted interest in the membrane community due to their tunable physical and chemical properties. However, their potential in uremic toxin separations is still unknown and it is not practical to test each synthesized MOF for uremic toxin separations. The main objective of this study is to computationally assess membrane-based uremic toxin separation performances of 60 bio-compatible MOFs (bio-MOFs). Combining grand canonical Monte Carlo (GCMC) and equilibrium molecular dynamics (EMD) simulations, we predicted urea, creatinine, and water permeabilities of bio-MOFs and their membrane selectivities for urea/water and creatinine/water separations. Results showed that OREZES, a carboxylate-based MOF exhibited the highest membrane selectivity (347.94) for urea/water separation whereas BEPPIX, an amino-based MOF gave the highest creatinine/water selectivity (1.5 × 105) at infinite dilution and 310 K. Guest-guest and host–guest interaction energies for uremic toxins were also computed during EMD simulations and van der Waals interactions were found to be much stronger than the coulombic interactions. We finally examined the effect of MOF's flexibility on the predicted membrane performance and membrane selectivities of bio-MOFs for urea/water separation significantly enhanced when the structural flexibility was considered in simulations. Our results will be a guide for further studies to design novel bio-MOF membranes for uremic toxin separations.
DOI 10.1016/j.seppur.2021.119852
Cilt 281
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Computational investigations of Bio-MOF membranes for uremic toxin separation

Author Palabıyık, Büşra Akkoca, Batyrov, Merdan, Fındıkçı, İlknur Eruçar
Publication Date 2022-01-15
Publication Place - Elsevier
Subject Bio-compatible metal organic framework, Creatinine, Diffusion, Hemodialysis membrane, Urea, Uremic toxin
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 1383-5866
Record ID 2e8b33b9-7ef2-4830-938b-7d5b96311d56
Library Location Mechanical Engineering
Date 2022-01-15
Sample Text Developing new and efficient methods as an alternative to hemodialysis is important due to the challenges associated with poor efficiency of membranes and long dialysis sessions. Recently, metal organic frameworks (MOFs) have attracted interest in the membrane community due to their tunable physical and chemical properties. However, their potential in uremic toxin separations is still unknown and it is not practical to test each synthesized MOF for uremic toxin separations. The main objective of this study is to computationally assess membrane-based uremic toxin separation performances of 60 bio-compatible MOFs (bio-MOFs). Combining grand canonical Monte Carlo (GCMC) and equilibrium molecular dynamics (EMD) simulations, we predicted urea, creatinine, and water permeabilities of bio-MOFs and their membrane selectivities for urea/water and creatinine/water separations. Results showed that OREZES, a carboxylate-based MOF exhibited the highest membrane selectivity (347.94) for urea/water separation whereas BEPPIX, an amino-based MOF gave the highest creatinine/water selectivity (1.5 × 105) at infinite dilution and 310 K. Guest-guest and host–guest interaction energies for uremic toxins were also computed during EMD simulations and van der Waals interactions were found to be much stronger than the coulombic interactions. We finally examined the effect of MOF's flexibility on the predicted membrane performance and membrane selectivities of bio-MOFs for urea/water separation significantly enhanced when the structural flexibility was considered in simulations. Our results will be a guide for further studies to design novel bio-MOF membranes for uremic toxin separations.
DOI 10.1016/j.seppur.2021.119852
Cilt 281
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