Highly Selective Molecular-Sieving Membranes by Interfacial Polymerization for H <sub>2</sub> Purification

Hydrogen purification is challenging due to the high energy consumption of current state-of-the-art pressure swing adsorption and cryogenic partial-condensation processes. Membrane separations have the potential to substantially reduce the energy and operational costs of this process. In this study, molecular-sieving polyamide TFC membranes with outstanding H2 selectivities were fabricated via a simple interfacial polymerization process with a variety of different monomers. These membranes showed a greatly improved degree of cross-linking and exhibited pure-gas H2/N2 and H2/CO2 selectivities of up to 507 and 80, with a H2 permeability/permeance of 26 Barrer/10 GPU at 35 °C, demonstrating significantly higher selectivity than most polymeric membranes. The high gas permeabilities observed are explained theoretically by using extensive all-atom molecular dynamics simulations, followed by grand canonical Monte Carlo and trajectory extending kinetic Monte Carlo simulations. The simple and inexpensive membrane fabrication process and its outstanding selectivity performance show progress of these membranes toward large-scale and cost-effective hydrogen purification.

Authors

Institutions

Publication Details

Journal
Industrial & Engineering Chemistry Research
Published
2025-10-08
DOI
https://doi.org/10.1021/acs.iecr.5c02797
Citations
1
Primary Topic
Membrane Separation and Gas Transport
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Highly Selective Molecular-Sieving Membranes by Interfacial Polymerization for H 2 Purification

Subhadeep Dasgupta, Harekrushna Behera, Amal Rajan Sheena, Chenhao Yao et al.
1 citations
Industrial & Engineering Chemistry Research
Membrane Separation and Gas Transport
0.71
article

Highly Selective Molecular-Sieving Membranes by Interfacial Polymerization for H 2 Purification

Subhadeep Dasgupta, Harekrushna Behera, Amal Rajan Sheena, Chenhao Yao, Benny D. Freeman, Manish Kumar, Rebecca Lee, Prabal K. Maiti
article en
1 citations

Abstract

Hydrogen purification is challenging due to the high energy consumption of current state-of-the-art pressure swing adsorption and cryogenic partial-condensation processes. Membrane separations have the potential to substantially reduce the energy and operational costs of this process. In this study, molecular-sieving polyamide TFC membranes with outstanding H2 selectivities were fabricated via a simple interfacial polymerization process with a variety of different monomers. These membranes showed a greatly improved degree of cross-linking and exhibited pure-gas H2/N2 and H2/CO2 selectivities of up to 507 and 80, with a H2 permeability/permeance of 26 Barrer/10 GPU at 35 °C, demonstrating significantly higher selectivity than most polymeric membranes. The high gas permeabilities observed are explained theoretically by using extensive all-atom molecular dynamics simulations, followed by grand canonical Monte Carlo and trajectory extending kinetic Monte Carlo simulations. The simple and inexpensive membrane fabrication process and its outstanding selectivity performance show progress of these membranes toward large-scale and cost-effective hydrogen purification.

Industrial & Engineering Chemistry ResearchVol. 64(42)
Yukhnovskii Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine (UA), Laboratoire de Physique Théorique de la Matière Condensée (FR), Indian Institute of Science Bangalore (IN), The University of Texas at Austin (US)
Openalex Percentile: Top 26%
Membrane Separation and Gas Transport
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.