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Universal and tunable liquid–liquid separation by nanoparticle-embedded gating membranes based on a self-defined interfacial parameter

Author

Listed:
  • Xiangyu Li

    (Tsinghua University)

  • Jingjing Liu

    (Tsinghua University)

  • Ruixiang Qu

    (Tsinghua University)

  • Weifeng Zhang

    (Hangzhou Innovation Research Institute of Beihang University)

  • Yanan Liu

    (Tsinghua University)

  • Huajun Zhai

    (Tsinghua University)

  • Yen Wei

    (Tsinghua University)

  • Hanshi Hu

    (Tsinghua University)

  • Lin Feng

    (Tsinghua University)

Abstract

Superwetting porous membranes with tunable liquid repellency are highly desirable in broad domains including scientific research, chemical industry, and environmental protection. Such membranes should allow for controllable droplet bouncing or spreading, which is difficult to achieve for low surface energy organic liquids (OLs). Here we develop an interfacial physical parameter to regulate the OL wettability of nanoparticle-embedded membranes by structuring synergistic layers with reconfigurable surface energy components. Under the tunable solid-liquid interaction in the aggregation-induced process, the membranes demonstrate positive/negative liquid gating regularity for polar protic liquids, polar aprotic liquids, and nonpolar liquids. Such a membrane can be employed as self-adaptive gating for various immiscible liquid mixtures with superior separation efficiency and permeation flux, even afford successive achievement of high-performance in situ extraction-back extraction coupling. This study should provide distinctive insights into intrinsic wetting behaviors and have pioneered a rational strategy to design high-performance separation materials for diverse applications.

Suggested Citation

  • Xiangyu Li & Jingjing Liu & Ruixiang Qu & Weifeng Zhang & Yanan Liu & Huajun Zhai & Yen Wei & Hanshi Hu & Lin Feng, 2021. "Universal and tunable liquid–liquid separation by nanoparticle-embedded gating membranes based on a self-defined interfacial parameter," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20369-9
    DOI: 10.1038/s41467-020-20369-9
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