Pt@WS<sub>2</sub> Mott–Schottky Heterojunction Boosts Light-Driven Active Ion Transport for Enhanced Ionic Power Harvesting
Bioinspired light-driven ion transport in two-dimensional (2D) nanofluidics offers exciting prospects for solar energy harvesting. Current single-component nanofluidic membranes often suffer from low light-induced driving forces due to the easy recombination of photogenerated electron-hole pairs. Herein, we present a Pt@WS<sub>2</sub> Mott-Schottky heterojunction-based 2D nanofluidic membrane for boosting light-driven active ion transport and solar enhanced ionic power harvesting. The photovoltaic effect in the Mott-Schottky heterojunctions and photoconductance effect in WS<sub>2</sub> multilayers account for more efficient charge separation across the nanofluidic membrane. In an equilibrium electrolyte solution, we observe directional cationic transport from the WS<sub>2</sub> to the Pt region under visible-light illumination. In 10<sup>-3</sup> M KCl electrolyte, the photocurrent and photovoltage reach 11.84 μA cm<sup>-2</sup> and 30.67 mV, respectively. Moreover, the output power can reach up to 5.02 W m<sup>-2</sup> under light illumination, compared to a value of 2.56 W m<sup>-2</sup> without irradiation. This work not only introduces a driving mechanism for boosting ion transport but also offers a pathway for integrating multiple energy sources.
Authors
- Pan Jia (ORCID: https://orcid.org/0000-0001-8119-9709)
- Jinming Zhou (ORCID: https://orcid.org/0000-0001-6092-0181)
- Xinyi Zhang (ORCID: https://orcid.org/0000-0003-4695-3731)
- Lina Wang (ORCID: https://orcid.org/0009-0009-6058-4689)
- Yue Leon Guo (ORCID: https://orcid.org/0000-0002-8530-4809)
- Zhitong Han
- Jiansheng Chen
- Junchao Liu (ORCID: https://orcid.org/0000-0001-6675-2561)
Institutions
- Nanomaterials Research (United States) (US)
- Analysis and Testing Centre (CN)
- Xi'an University of Technology (CN)
- Hebei Normal University (CN)
Publication Details
- Journal
- ACS Nano
- Published
- 2024-12-16
- DOI
- https://doi.org/10.1021/acsnano.4c15723
- Citations
- 12
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 2.50
Funders
- National Natural Science Foundation of China
- Hebei Normal University
- Department of Education of Hebei Province
- Natural Science Foundation of Hebei Province