journal article·2025-05Open access

2D Graphene Oxide‐Polyelectrolytes Composite Membranes with Enhanced Ion Sieving for Nanofluidic Energy Generation

Heonseung Chae, Jongwoon Kim, Chang‐Soo Han

Small· Volume 21· Issue 21

Abstract

Abstract 2D nanofluidic membranes, with their nano‐structured lamella architecture, offer effective control over ion transport, making them promising candidates for osmotic energy harvesting based on electrolyte concentration gradients. However, low‐concentration electrolytes increase internal resistance, which leads to reduced output power, thereby limiting the practical application of nanofluidic energy generators. In this study, a high‐power nanofluidic energy generator is proposed by replacing the low‐concentration electrolytes with the high‐concentration divalent electrolytes. Here, oppositely charged graphene oxide (GO)‐polyelectrolytes composite membranes produce a high membrane potential by selectively allowing the transport of a single ionic species among various ions, such as biological ion channels. By modifying GO with polyelectrolytes to increase surface charge density and applying additional mild heating to adjust the interlayer spacing, ion sieving properties of the GO membranes are enhanced. As a result, the cation‐selective membrane achieved a K⁺/Mg2⁺ selectivity ratio of 41.6, while the anion‐selective membrane attained a Cl⁻/SO₄2⁻ selectivity ratio of 30.8. The energy device using the GO‐polyelectrolyte membrane pairs achieved a power density of 5.49 W m⁻2 under a 50‐fold concentration gradient of NaCl, which is further improved to 9.48 W m⁻2 in a system utilizing high‐concentration divalent ions.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Nanopore and Nanochannel Transport Studies · Membrane Separation Technologies · Membrane-based Ion Separation Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical Engineering College of Engineering Korea University 145 Anam‐ro, Seongbuk‐gu Seoul 02841 Republic of Korea

Funding

National Research Foundation · Ministry of Science and ICT, South Korea

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