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Water sub-diffusion in membranes for fuel cells

We investigate the dynamics of water confined in soft ionic nano-assemblies, an issue critical for a general understanding of the multi-scale structure-function interplay in advanced materials. We focus in particular on hydrated perfluoro-sulfonic acid compounds employed as electrolytes in fuel cell...

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Autores principales: Berrod, Quentin, Hanot, Samuel, Guillermo, Armel, Mossa, Stefano, Lyonnard, Sandrine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5567110/
https://www.ncbi.nlm.nih.gov/pubmed/28827621
http://dx.doi.org/10.1038/s41598-017-08746-9
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author Berrod, Quentin
Hanot, Samuel
Guillermo, Armel
Mossa, Stefano
Lyonnard, Sandrine
author_facet Berrod, Quentin
Hanot, Samuel
Guillermo, Armel
Mossa, Stefano
Lyonnard, Sandrine
author_sort Berrod, Quentin
collection PubMed
description We investigate the dynamics of water confined in soft ionic nano-assemblies, an issue critical for a general understanding of the multi-scale structure-function interplay in advanced materials. We focus in particular on hydrated perfluoro-sulfonic acid compounds employed as electrolytes in fuel cells. These materials form phase-separated morphologies that show outstanding proton-conducting properties, directly related to the state and dynamics of the absorbed water. We have quantified water motion and ion transport by combining Quasi Elastic Neutron Scattering, Pulsed Field Gradient Nuclear Magnetic Resonance, and Molecular Dynamics computer simulation. Effective water and ion diffusion coefficients have been determined together with their variation upon hydration at the relevant atomic, nanoscopic and macroscopic scales, providing a complete picture of transport. We demonstrate that confinement at the nanoscale and direct interaction with the charged interfaces produce anomalous sub-diffusion, due to a heterogeneous space-dependent dynamics within the ionic nanochannels. This is irrespective of the details of the chemistry of the hydrophobic confining matrix, confirming the statistical significance of our conclusions. Our findings turn out to indicate interesting connections and possibilities of cross-fertilization with other domains, including biophysics. They also establish fruitful correspondences with advanced topics in statistical mechanics, resulting in new possibilities for the analysis of Neutron scattering data.
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spelling pubmed-55671102017-09-06 Water sub-diffusion in membranes for fuel cells Berrod, Quentin Hanot, Samuel Guillermo, Armel Mossa, Stefano Lyonnard, Sandrine Sci Rep Article We investigate the dynamics of water confined in soft ionic nano-assemblies, an issue critical for a general understanding of the multi-scale structure-function interplay in advanced materials. We focus in particular on hydrated perfluoro-sulfonic acid compounds employed as electrolytes in fuel cells. These materials form phase-separated morphologies that show outstanding proton-conducting properties, directly related to the state and dynamics of the absorbed water. We have quantified water motion and ion transport by combining Quasi Elastic Neutron Scattering, Pulsed Field Gradient Nuclear Magnetic Resonance, and Molecular Dynamics computer simulation. Effective water and ion diffusion coefficients have been determined together with their variation upon hydration at the relevant atomic, nanoscopic and macroscopic scales, providing a complete picture of transport. We demonstrate that confinement at the nanoscale and direct interaction with the charged interfaces produce anomalous sub-diffusion, due to a heterogeneous space-dependent dynamics within the ionic nanochannels. This is irrespective of the details of the chemistry of the hydrophobic confining matrix, confirming the statistical significance of our conclusions. Our findings turn out to indicate interesting connections and possibilities of cross-fertilization with other domains, including biophysics. They also establish fruitful correspondences with advanced topics in statistical mechanics, resulting in new possibilities for the analysis of Neutron scattering data. Nature Publishing Group UK 2017-08-21 /pmc/articles/PMC5567110/ /pubmed/28827621 http://dx.doi.org/10.1038/s41598-017-08746-9 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Berrod, Quentin
Hanot, Samuel
Guillermo, Armel
Mossa, Stefano
Lyonnard, Sandrine
Water sub-diffusion in membranes for fuel cells
title Water sub-diffusion in membranes for fuel cells
title_full Water sub-diffusion in membranes for fuel cells
title_fullStr Water sub-diffusion in membranes for fuel cells
title_full_unstemmed Water sub-diffusion in membranes for fuel cells
title_short Water sub-diffusion in membranes for fuel cells
title_sort water sub-diffusion in membranes for fuel cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5567110/
https://www.ncbi.nlm.nih.gov/pubmed/28827621
http://dx.doi.org/10.1038/s41598-017-08746-9
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