Literature DB >> 22827840

Revealing the structure-property relationships of metal-organic frameworks for CO2 capture from flue gas.

Dong Wu1, Qingyuan Yang, Chongli Zhong, Dahuan Liu, Hongliang Huang, Wenjuan Zhang, Guillaume Maurin.   

Abstract

It is of great importance to establish a quantitative structure-property relationship model that can correlate the separation performance of MOFs to their physicochemical features. In complement to the existing studies that screened the separation performance of MOFs from the adsorption selectivity calculated at infinite dilution, this work aims to build a QSPR model that can account for the CO(2)/N(2) mixture (15:85) selectivity of an extended series of MOFs with a very large chemical and topological diversity under industrial pressure condition. It was highlighted that the selectivity for this mixture under such conditions is dominated by the interplay of the difference of the isosteric heats of adsorption between the two gases and the porosity of the MOF adsorbents. On the basis of the interplay map of both factors that impact the adsorption selectivity, strategies were proposed to efficiently enhance the separation selectivity of MOFs for CO(2) capture from flue gas. As a typical illustration, it thus leads us to tune a new MOF with outstanding separation performance that will orientate the synthesis effort to be deployed.

Entities:  

Year:  2012        PMID: 22827840     DOI: 10.1021/la302223m

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  7 in total

Review 1.  Big-Data Science in Porous Materials: Materials Genomics and Machine Learning.

Authors:  Kevin Maik Jablonka; Daniele Ongari; Seyed Mohamad Moosavi; Berend Smit
Journal:  Chem Rev       Date:  2020-06-10       Impact factor: 60.622

2.  The role of surface chemistry on CO2 adsorption in biomass-derived porous carbons by experimental results and molecular dynamics simulations.

Authors:  Mobin Safarzadeh Khosrowshahi; Mohammad Ali Abdol; Hossein Mashhadimoslem; Elnaz Khakpour; Hosein Banna Motejadded Emrooz; Sadegh Sadeghzadeh; Ahad Ghaemi
Journal:  Sci Rep       Date:  2022-05-26       Impact factor: 4.996

3.  Effects of Force Field Selection on the Computational Ranking of MOFs for CO2 Separations.

Authors:  Derya Dokur; Seda Keskin
Journal:  Ind Eng Chem Res       Date:  2018-01-18       Impact factor: 3.720

4.  High-Throughput Screening of MOF Adsorbents and Membranes for H2 Purification and CO2 Capture.

Authors:  Gokay Avci; Sadiye Velioglu; Seda Keskin
Journal:  ACS Appl Mater Interfaces       Date:  2018-09-19       Impact factor: 9.229

5.  Computational Screening of Metal-Organic Frameworks for Membrane-Based CO2/N2/H2O Separations: Best Materials for Flue Gas Separation.

Authors:  Hilal Daglar; Seda Keskin
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2018-07-03       Impact factor: 4.126

6.  Database for CO2 Separation Performances of MOFs Based on Computational Materials Screening.

Authors:  Cigdem Altintas; Gokay Avci; Hilal Daglar; Ayda Nemati Vesali Azar; Sadiye Velioglu; Ilknur Erucar; Seda Keskin
Journal:  ACS Appl Mater Interfaces       Date:  2018-05-14       Impact factor: 9.229

7.  Molecular Simulations of MOF Membranes and Performance Predictions of MOF/Polymer Mixed Matrix Membranes for CO2/CH4 Separations.

Authors:  Cigdem Altintas; Seda Keskin
Journal:  ACS Sustain Chem Eng       Date:  2018-12-18       Impact factor: 8.198

  7 in total

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