Light-Boosted Osmotic Energy Conversion and Ion Pumping through a Graphdiyne Oxide-Based Membrane
Two-dimensional (2D) membranes with engineered light-responsive ion transport dynamics have been explored to construct efficient nanofluidic platforms that show great potential in osmotic and solar-osmotic energy conversion. However, the power density is still limited by poor responsivity and the inevitable trade-off effect between ion selectivity and flux. Here, we observed light-pumping ion transport behavior in graphdiyne oxide (GDYO) with a unique carbon hybrid skeleton that provides sensitive photoelectric responsivity and high-speed cation pathways. Molecular dynamics simulations verify that the coexistent interaction effects between cations and the negatively charged sites in GDYO (i.e., oxygen-containing groups and electron-rich acetylenic bonds) could significantly promote cation transmembrane transport via an absorption-acceleration mechanism. Furthermore, the GDYO-based system, possessing a coupled photon-electron-ion transport behavior due to its inherent semiconductor properties, could subtly realize unidirectional ion movement, consuming luminous energy either from low concentration to high concentration or vice versa, flexibly promoting the osmotic power density by ∼195% to 11.91 W m<sup>-2</sup>.
Authors
- Yongchao Qian
- Zhehua Zhang
- Lei Jiang (ORCID: https://orcid.org/0000-0002-5143-9262)
- Qingchen Wang (ORCID: https://orcid.org/0000-0003-1708-5656)
- Tingyang Li (ORCID: https://orcid.org/0000-0003-2559-184X)
- Xiang‐Yu Kong (ORCID: https://orcid.org/0000-0002-4475-2162)
- Zhen Zhang (ORCID: https://orcid.org/0000-0003-3031-3350)
- Lei Kang (ORCID: https://orcid.org/0000-0002-9993-6399)
- Liping Wen (ORCID: https://orcid.org/0000-0001-8546-8988)
- Qixiang Zhang (ORCID: https://orcid.org/0000-0001-5690-0065)
- Haoyang Ling
- Xin Li (ORCID: https://orcid.org/0009-0006-4238-6214)
- Yuhao Hu (ORCID: https://orcid.org/0000-0003-1521-7838)
- Zidi Yan
- Linsen Yang
Institutions
- University of Science and Technology of China (CN)
- Chinese Academy of Sciences (CN)
- Suzhou University of Science and Technology (CN)
- Crystal Research (United States) (US)
- Division of Materials Science and Engineering (AU)
- Technical Institute of Physics and Chemistry (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Journal of the American Chemical Society
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1021/jacs.5c01960
- Citations
- 11
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 8.03
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China