Organometallic Precursor‐Induced Gradient Architecture on Multilayer Nanoporous Graphene Membranes for Precise Organic Solvent Nanofiltration

Abstract Tuning the pore and interlayer structure of multilayer graphene is crucial for achieving precise molecular separation in organic solvent nanofiltration (OSN). Here, an advanced organometallic precursor‐driven deposition strategy is presented that enables gradient‐controlled surface modification of multilayer nanoporous graphene membranes, resulting in finely tuned selectivity and structure. Highly porous and crystalline graphene is first prepared through thermal activation, followed by microwave‐assisted reduction. However, this process generated non‐selective defects and expanded interlayer spacing under solvated conditions, resulting in a high molecular weight cut‐off (MWCO). Subsequently, the growth of the alumina layer narrowed surface pores and cross‐linked top graphene layers, forming a nanoscopic gradient coating from the top surface. This alumina deposition reduced the MWCO from 800 to 640 Da while retaining high ethanol permeance (136.5 LMH bar −1 ), surpassing the performance upper bound of previously reported 2D‐material‐based OSN membranes. Additionally, concentration‐dependent separation is observed in binary mixtures: selective rejection occurred even below the MWCO at dilute concentrations, whereas solute–solute interactions dominated at higher concentrations. This work offers a scalable and precise approach to tailoring 2D membranes for high‐performance OSN applications.

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Publication Details

Journal
Advanced Functional Materials
Published
2025-11-22
DOI
https://doi.org/10.1002/adfm.202526926
Primary Topic
Membrane Separation Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Organometallic Precursor‐Induced Gradient Architecture on Multilayer Nanoporous Graphene Membranes for Precise Organic Solvent Nanofiltration

Ju Yeon Kim, Yunseong Ji, Byungchan Han, Dae Woo Kim et al.
Advanced Functional Materials
Membrane Separation Technologies
article

Organometallic Precursor‐Induced Gradient Architecture on Multilayer Nanoporous Graphene Membranes for Precise Organic Solvent Nanofiltration

Ju Yeon Kim, Yunseong Ji, Byungchan Han, Dae Woo Kim, Ju-Hee Oh, Suseong Hyun, Hwayong Lee, Jiwon Kim, Junhyeok Kang
article en

Abstract

Abstract Tuning the pore and interlayer structure of multilayer graphene is crucial for achieving precise molecular separation in organic solvent nanofiltration (OSN). Here, an advanced organometallic precursor‐driven deposition strategy is presented that enables gradient‐controlled surface modification of multilayer nanoporous graphene membranes, resulting in finely tuned selectivity and structure. Highly porous and crystalline graphene is first prepared through thermal activation, followed by microwave‐assisted reduction. However, this process generated non‐selective defects and expanded interlayer spacing under solvated conditions, resulting in a high molecular weight cut‐off (MWCO). Subsequently, the growth of the alumina layer narrowed surface pores and cross‐linked top graphene layers, forming a nanoscopic gradient coating from the top surface. This alumina deposition reduced the MWCO from 800 to 640 Da while retaining high ethanol permeance (136.5 LMH bar −1 ), surpassing the performance upper bound of previously reported 2D‐material‐based OSN membranes. Additionally, concentration‐dependent separation is observed in binary mixtures: selective rejection occurred even below the MWCO at dilute concentrations, whereas solute–solute interactions dominated at higher concentrations. This work offers a scalable and precise approach to tailoring 2D membranes for high‐performance OSN applications.

Advanced Functional Materials
Yonsei University (KR)
National Research Foundation, Ministry of Trade, Industry and Energy, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 67%
Membrane Separation Technologies
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