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Electrostatic-induced ion-confined partitioning in graphene nanolaminate membrane for breaking anion–cation co-transport to enhance desalination

Author

Listed:
  • Haiguang Zhang

    (Dalian University of Technology)

  • Jiajian Xing

    (Dalian University of Technology)

  • Gaoliang Wei

    (Dalian University of Technology)

  • Xu Wang

    (Dalian University of Technology)

  • Shuo Chen

    (Dalian University of Technology)

  • Xie Quan

    (Dalian University of Technology)

Abstract

Constructing nanolaminate membranes made of two-dimensional graphene oxide nanosheets has gained enormous interest in recent decades. However, a key challenge facing current graphene-based membranes is their poor rejection for monovalent salts due to the swelling-induced weak nanoconfinement and the transmembrane co-transport of anions and cations. Herein, we propose a strategy of electrostatic-induced ion-confined partitioning in a reduced graphene oxide membrane for breaking the correlation of anions and cations to suppress anion-cation co-transport, substantially improving the desalination performance. The membrane demonstrates a rejection of 95.5% for NaCl with a water permeance of 48.6 L m−2 h−1 bar−1 in pressure-driven process, and it also exhibits a salt rejection of 99.7% and a water flux of 47.0 L m−2 h−1 under osmosis-driven condition, outperforming the performance of reported graphene-based membranes. The simulation and calculation results unveil that the strong electrostatic attraction of membrane forces the hydrated Na+ to undergo dehydration and be exclusively confined in the nanochannels, strengthening the intra-nanochannel anion/cation partitioning, which refrains from the dynamical anion-cation correlations and thereby prevents anions and cations from co-transporting through the membrane. This study provides guidance for designing advanced desalination membranes and inspires the future development of membrane-based separation technologies.

Suggested Citation

  • Haiguang Zhang & Jiajian Xing & Gaoliang Wei & Xu Wang & Shuo Chen & Xie Quan, 2024. "Electrostatic-induced ion-confined partitioning in graphene nanolaminate membrane for breaking anion–cation co-transport to enhance desalination," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48681-8
    DOI: 10.1038/s41467-024-48681-8
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    1. Yang Wang & Tingting Lian & Nadezda V. Tarakina & Jiayin Yuan & Markus Antonietti, 2022. "Lamellar carbon nitride membrane for enhanced ion sieving and water desalination," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Zhongzhen Wang & Chen Ma & Chunyan Xu & Scott A. Sinquefield & Meisha L. Shofner & Sankar Nair, 2021. "Graphene oxide nanofiltration membranes for desalination under realistic conditions," Nature Sustainability, Nature, vol. 4(5), pages 402-408, May.
    3. Zhipeng Wang & Liqin Huang & Xue Dong & Tong Wu & Qi Qing & Jing Chen & Yuexiang Lu & Chao Xu, 2023. "Ion sieving in graphene oxide membrane enables efficient actinides/lanthanides separation," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    4. Liang Chen & Guosheng Shi & Jie Shen & Bingquan Peng & Bowu Zhang & Yuzhu Wang & Fenggang Bian & Jiajun Wang & Deyuan Li & Zhe Qian & Gang Xu & Gongping Liu & Jianrong Zeng & Lijuan Zhang & Yizhou Yan, 2017. "Ion sieving in graphene oxide membranes via cationic control of interlayer spacing," Nature, Nature, vol. 550(7676), pages 380-383, October.
    5. Mengchen Zhang & Kecheng Guan & Yufan Ji & Gongping Liu & Wanqin Jin & Nanping Xu, 2019. "Controllable ion transport by surface-charged graphene oxide membrane," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    6. Bedanga Sapkota & Wentao Liang & Armin VahidMohammadi & Rohit Karnik & Aleksandr Noy & Meni Wanunu, 2020. "High permeability sub-nanometre sieve composite MoS2 membranes," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
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