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Interplay between hydrophilicity and surface barriers on water transport in zeolite membranes

Author

Listed:
  • Matteo Fasano

    (Politecnico di Torino)

  • Thomas Humplik

    (Massachusetts Institute of Technology)

  • Alessio Bevilacqua

    (Politecnico di Torino)

  • Michael Tsapatsis

    (University of Minnesota)

  • Eliodoro Chiavazzo

    (Politecnico di Torino)

  • Evelyn N. Wang

    (Massachusetts Institute of Technology)

  • Pietro Asinari

    (Politecnico di Torino)

Abstract

A comprehensive understanding of molecular transport within nanoporous materials remains elusive in a broad variety of engineering and biomedical applications. Here, experiments and atomistic simulations are synergically used to elucidate the non-trivial interplay between nanopore hydrophilicity and surface barriers on the overall water transport through zeolite crystals. At these nanometre-length scales, these results highlight the dominating effect of surface imperfections with reduced permeability on the overall water transport. A simple diffusion resistance model is shown to be sufficient to capture the effects of both intracrystalline and surface diffusion resistances, thus properly linking simulation to experimental evidence. This work suggests that future experimental work should focus on eliminating/overcoming these surface imperfections, which promise an order of magnitude improvement in permeability.

Suggested Citation

  • Matteo Fasano & Thomas Humplik & Alessio Bevilacqua & Michael Tsapatsis & Eliodoro Chiavazzo & Evelyn N. Wang & Pietro Asinari, 2016. "Interplay between hydrophilicity and surface barriers on water transport in zeolite membranes," Nature Communications, Nature, vol. 7(1), pages 1-8, November.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12762
    DOI: 10.1038/ncomms12762
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    Cited by:

    1. Fasano, Matteo & Morciano, Matteo & Bergamasco, Luca & Chiavazzo, Eliodoro & Zampato, Massimo & Carminati, Stefano & Asinari, Pietro, 2021. "Deep-sea reverse osmosis desalination for energy efficient low salinity enhanced oil recovery," Applied Energy, Elsevier, vol. 304(C).
    2. Andreas Erlebach & Martin Šípka & Indranil Saha & Petr Nachtigall & Christopher J. Heard & Lukáš Grajciar, 2024. "A reactive neural network framework for water-loaded acidic zeolites," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

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