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Smart and solvent-switchable graphene-based membrane for graded molecular sieving

Author

Listed:
  • Yuxin Li

    (Tsinghua University)

  • Jinping Zhao

    (Shandong University of Technology)

  • Jianduo Zhang

    (Dalian University of Technology
    Dalian University of Technology)

  • Xinyu Gong

    (Tsinghua University
    Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University)

  • Jin Zhou

    (Shandong University of Technology)

  • Ning Zhang

    (Dalian University of Technology
    Dalian University of Technology)

  • Yang Su

    (Tsinghua University
    Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University)

Abstract

Artificial stimulus-responsive membranes, particularly those responsive to different solvents, have important applications in complex and graded separation systems. Inspired by natural lipid membrane that alters mass transport behavior in response to interactions with various solvents, we report that incorporating porous graphene (PG) into graphene oxide (GO) membrane enables smart and switchable molecular sieving reversibly responsive to solvent types. The membrane shows high permeance for water and methanol, 45.52 and 13.56 L m−2 h−1 bar−1, respectively, and its molecular weight cut-off (MWCO) at ~319 g mol−1 in water, similar to pristine GO membrane, reversibly switches to 960 g mol−1 in methanol which is not observed in either pristine GO or graphene membrane. We accounted this switching to the change of transport pathways. In water, the GO-GO nanochannel is dominant, providing similar molecular sieving to pristine GO. In methanol, the GO-PG nanochannel becomes favorable because a strong solvent adsorption on the nanochannel surface, coupled with a weak solvent network under nanoconfinement, promotes a significant interlayer expansion, reducing the transport resistance and enabling larger, switched MWCO. This switchable sieving behavior is further demonstrated for efficient graded separation of ternary solution of solutes with various molecular weights.

Suggested Citation

  • Yuxin Li & Jinping Zhao & Jianduo Zhang & Xinyu Gong & Jin Zhou & Ning Zhang & Yang Su, 2025. "Smart and solvent-switchable graphene-based membrane for graded molecular sieving," Nature Communications, Nature, vol. 16(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60680-x
    DOI: 10.1038/s41467-025-60680-x
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    References listed on IDEAS

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    1. Jacopo Frallicciardi & Josef Melcr & Pareskevi Siginou & Siewert J. Marrink & Bert Poolman, 2022. "Membrane thickness, lipid phase and sterol type are determining factors in the permeability of membranes to small solutes," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Eduardo Perozo & D. Marien Cortes & Pornthep Sompornpisut & Anna Kloda & Boris Martinac, 2002. "Open channel structure of MscL and the gating mechanism of mechanosensitive channels," Nature, Nature, vol. 418(6901), pages 942-948, August.
    3. Junhyeok Kang & Yeongnam Ko & Jeong Pil Kim & Ju Yeon Kim & Jiwon Kim & Ohchan Kwon & Ki Chul Kim & Dae Woo Kim, 2023. "Microwave-assisted design of nanoporous graphene membrane for ultrafast and switchable organic solvent nanofiltration," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
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