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Multimodal confined water dynamics in reverse osmosis polyamide membranes

Foglia, Fabrizia ; Frick, Bernhard ; Nania, Manuela ; Livingston, Andrew G ; Cabral, João T

Nature communications, 2022-05, Vol.13 (1), p.2809-2809, Article 2809 [Periódico revisado por pares]

England: Nature Publishing Group

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  • Título:
    Multimodal confined water dynamics in reverse osmosis polyamide membranes
  • Autor: Foglia, Fabrizia ; Frick, Bernhard ; Nania, Manuela ; Livingston, Andrew G ; Cabral, João T
  • Assuntos: Desalination ; Diffusion ; Diffusion rate ; Elastic scattering ; Membranes ; Neutron scattering ; Polyamide resins ; Polyamides ; Polymers ; Polystyrene resins ; Reverse osmosis ; Spectroscopy ; Structural hierarchy ; Water purification ; Water transport
  • É parte de: Nature communications, 2022-05, Vol.13 (1), p.2809-2809, Article 2809
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
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  • Descrição: While polyamide (PA) membranes are widespread in water purification and desalination by reverse osmosis, a molecular-level understanding of the dynamics of both confined water and polymer matrix remains elusive. Despite the dense hierarchical structure of PA membranes formed by interfacial polymerization, previous studies suggest that water diffusion remains largely unchanged with respect to bulk water. Here, we employ neutron spectroscopy to investigate PA membranes under precise hydration conditions, and a series of isotopic contrasts, to elucidate water transport and polymer relaxation, spanning ps-ns timescales, and Å-nm lengthscales. We experimentally resolve, for the first time, the multimodal diffusive nature of water in PA membranes: in addition to (slowed down) translational jump-diffusion, we observe a long-range and a localized mode, whose geometry and timescales we quantify. The PA matrix is also found to exhibit rotational relaxations commensurate with the nanoscale confinement observed in water diffusion. This comprehensive 'diffusion map' can anchor molecular and nanoscale simulations, and enable the predictive design of PA membranes with tuneable performance.
  • Editor: England: Nature Publishing Group
  • Idioma: Inglês

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