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author:

Luo, Wei (Luo, Wei.) [1] | Xiao, Gao (Xiao, Gao.) [2] | Tian, Fan (Tian, Fan.) [3] | Richardson, Joseph J. (Richardson, Joseph J..) [4] | Wang, Yaping (Wang, Yaping.) [5] | Zhou, Jianfei (Zhou, Jianfei.) [6] | Guo, Junling (Guo, Junling.) [7] | Liao, Xuepin (Liao, Xuepin.) [8] | Shi, Bi (Shi, Bi.) [9]

Indexed by:

EI

Abstract:

Roughly 4 billion tons of uranium exists in the oceans, which equates to a nearly inexhaustible supply for nuclear power production. However, the extraction of uranium from seawater is highly challenging due the background high salinity and uranium's relatively low concentration (∼3 μg L-1). Current approaches are generally limited by either their selectivity, sustainability, or their economic competitiveness. Here we engineered a biomass-derived microporous membrane, based on the interfacial formation of robust metal-phenolic networks (MPNs), for uranium capture from seawater. These membranes displayed advantages in terms of selectivity, kinetics, capacity, and renewability in both laboratory settings and marine field-testing. The MPN-based membranes showed a greater than ninefold higher uranium extraction capacity (27.81 μg) than conventional methods during a long-term cycling extraction of 10 L of natural seawater from the East China Sea. These results, coupled with our techno-economic analysis, demonstrate that MPN-based membranes are promising economically viable and industrially scalable materials for real-world uranium extraction. © 2019 The Royal Society of Chemistry.

Keyword:

Economic analysis Extraction Membranes Nuclear fuels Seawater Uranium Uranium metallurgy

Community:

  • [ 1 ] [Luo, Wei]Department of Biomass and Leather Engineering, Sichuan University, Chengdu Sichuan; 610065, China
  • [ 2 ] [Luo, Wei]National Engineering Laboratory for Clean Technology of Leather Manufacture, Sichuan University, Chengdu Sichuan; 610065, China
  • [ 3 ] [Xiao, Gao]Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston; MA; 02115, United States
  • [ 4 ] [Xiao, Gao]College of Environment and Resources, Fuzhou University, Fuzhou Fujian; 350108, China
  • [ 5 ] [Tian, Fan]Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore; MD; 21287, United States
  • [ 6 ] [Richardson, Joseph J.]Department of Chemical Engineering, University of Melbourne, Parkville; VIC; 3010, Australia
  • [ 7 ] [Wang, Yaping]Department of Biomass and Leather Engineering, Sichuan University, Chengdu Sichuan; 610065, China
  • [ 8 ] [Wang, Yaping]National Engineering Laboratory for Clean Technology of Leather Manufacture, Sichuan University, Chengdu Sichuan; 610065, China
  • [ 9 ] [Zhou, Jianfei]Department of Biomass and Leather Engineering, Sichuan University, Chengdu Sichuan; 610065, China
  • [ 10 ] [Zhou, Jianfei]National Engineering Laboratory for Clean Technology of Leather Manufacture, Sichuan University, Chengdu Sichuan; 610065, China
  • [ 11 ] [Guo, Junling]Department of Biomass and Leather Engineering, Sichuan University, Chengdu Sichuan; 610065, China
  • [ 12 ] [Guo, Junling]National Engineering Laboratory for Clean Technology of Leather Manufacture, Sichuan University, Chengdu Sichuan; 610065, China
  • [ 13 ] [Guo, Junling]Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston; MA; 02115, United States
  • [ 14 ] [Liao, Xuepin]Department of Biomass and Leather Engineering, Sichuan University, Chengdu Sichuan; 610065, China
  • [ 15 ] [Liao, Xuepin]National Engineering Laboratory for Clean Technology of Leather Manufacture, Sichuan University, Chengdu Sichuan; 610065, China
  • [ 16 ] [Shi, Bi]Department of Biomass and Leather Engineering, Sichuan University, Chengdu Sichuan; 610065, China
  • [ 17 ] [Shi, Bi]National Engineering Laboratory for Clean Technology of Leather Manufacture, Sichuan University, Chengdu Sichuan; 610065, China

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Source :

Energy and Environmental Science

ISSN: 1754-5692

Year: 2019

Issue: 2

Volume: 12

Page: 607-614

3 0 . 2 8 9

JCR@2019

3 2 . 4 0 0

JCR@2023

ESI HC Threshold:188

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 285

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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