Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/113875
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Type: Journal article
Title: Molecular-level hybridization of Nafion with quantum dots for highly enhanced proton conduction
Author: Wu, W.
Li, Y.
Liu, J.
Wang, J.
He, Y.
Davey, K.
Qiao, S.
Citation: Advanced Materials, 2018; 30(16):1707516-1-1707516-7
Publisher: Wiley
Issue Date: 2018
ISSN: 0935-9648
1521-4095
Statement of
Responsibility: 
Wenjia Wu, Yifan Li, Jindun Liu, Jingtao Wang, Yakun He, Kenneth Davey, and Shi-Zhang Qiao
Abstract: Nanophase-separated membranes hold promise for fast molecule or ion transfer. However, development and practical application are significantly hindered by both the difficulty of chemical modification and nanophase instability. This can be addressed by organic-inorganic hybridization of functional fillers with a precise distribution in specific nanophase. Here, a molecular-level hybridization for nanophase-separated Nafion using 2-5 nm quantum dots (QDs) as a new smart filler is demonstrated. Two kinds of QDs are prepared and used: hydrophilic polymer-like QDs (PQDs) and hydrophobic graphene oxide QDs (GQDs). Because of selective interactions, QDs offer advantages of matched structural size and automatic recognition with the nanophase. A distinctive synthesis of subordinate-assembly, in which QDs are driven by the self-assembly of Nafion affinity chains, is reported. This results in a precise distribution of QDs in the ionic, or backbone, nanophases of Nafion. The resulting PQDs in the ionic nanophase significantly increase membrane proton conduction and device output-power without loss of mechanical stability. This is difficult to realize with conventional fillers. The GQDs in the backbone nanophase reduce the crystallinity and significantly augment membrane water uptake and swelling capacities.
Keywords: hydrogen fuel cell
molecule-level hybridization
nanophase-separated membrane
proton conduction
quantum dots
Description: Published online: March 13, 2018
Rights: © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
DOI: 10.1002/adma.201707516
Grant ID: http://purl.org/au-research/grants/arc/DP160104866
http://purl.org/au-research/grants/arc/DP170104464
http://purl.org/au-research/grants/arc/FL170100154
http://purl.org/au-research/grants/arc/LP160100927
Published version: http://dx.doi.org/10.1002/adma.201707516
Appears in Collections:Aurora harvest 3
Chemical Engineering publications

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