Mechanically Strengthened Graphene Oxide: Covalent Organic Framework Membranes for Monovalent/Divalent Cation Selectivity via Electrodialysis
Electrodialysis is an energy efficient method for water desalination and resource recovery; however, the lack of ion selectivity in conventional ion-exchange membranes limits its performance, particularly in separating monovalent and divalent cations. In this study, we present the design and fabrication of mechanically reinforced graphene oxide (GO)-covalent organic framework (COF) composite membranes with variable selectivity for monovalent over divalent cations, enhancing the performance of electrodialysis processes. The composite membranes, created by stacking GO and sulfonate-functionalized COF nanosheets, exhibit a nacre-inspired "brick-and-mortar" structure that imparts mechanical robustness and high ion selectivity. By adjusting the GO-to- COF ratio, we achieved varying Na<sup>+</sup>/Ca<sup>2+</sup> and Li<sup>+</sup>/Ca<sup>2+</sup> selectivity ratios, reaching up to 15.34 and 6.99, respectively, without compromising the charge efficiency (greater than 75%). The membranes have also shown good stability in synthetic hypersaline brine. These results demonstrate the potential of GO/COF membranes for high-performance, energy-efficient ion separation in electrodialysis, offering a promising solution for desalination, wastewater treatment, and resource recovery.
Authors
- Xiaoyin Tian
- Bongki Shin (ORCID: https://orcid.org/0000-0003-0256-2624)
- Tsai-Hsuan Chen (ORCID: https://orcid.org/0009-0009-0348-7532)
- Qiyi Fang (ORCID: https://orcid.org/0000-0001-8435-636X)
- Yifan Zhu (ORCID: https://orcid.org/0000-0001-8359-6492)
- Qing Ai (ORCID: https://orcid.org/0000-0002-6872-9848)
- Xintong Weng
- Qilin Li
- Doug Steinbach
- Pulickel M. Ajayan
- Yunhao Zhang
- Yuren Feng
- Xiang Zhang
- Jun Lou
- Rodolfo Cantu
Institutions
- National Taiwan University (TW)
- Rice University (US)
Publication Details
- Journal
- ACS Nano
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1021/acsnano.5c17289
- Citations
- 2
- Primary Topic
- Membrane-based Ion Separation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 42.56