Journal article 122 views 11 downloads
Enhancing Membrane Materials for Efficient Li Recycling and Recovery
Advanced Materials, Volume: 37, Issue: 5, Start page: 2402335
Swansea University Authors:
Serena Margadonna , Rui Tan
-
PDF | Version of Record
© 2024 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0).
Download (10.03MB)
DOI (Published version): 10.1002/adma.202402335
Abstract
Rapid uptake of lithium-centric technology, e.g., electric vehicles and large-scale energy storage, is increasing the demand for efficient technologies for lithium extraction from aqueous sources. Among various lithium-extraction technologies, membrane processes hold great promise due to energy effi...
Published in: | Advanced Materials |
---|---|
ISSN: | 0935-9648 1521-4095 |
Published: |
Wiley
2025
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa67974 |
first_indexed |
2024-10-14T07:39:41Z |
---|---|
last_indexed |
2025-02-12T05:49:59Z |
id |
cronfa67974 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2025-02-11T11:27:58.4939804</datestamp><bib-version>v2</bib-version><id>67974</id><entry>2024-10-14</entry><title>Enhancing Membrane Materials for Efficient Li Recycling and Recovery</title><swanseaauthors><author><sid>e31904a10b1b1240b98ab52d9977dfbe</sid><ORCID>0000-0002-6996-6562</ORCID><firstname>Serena</firstname><surname>Margadonna</surname><name>Serena Margadonna</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>774c33a0a76a9152ca86a156b5ae26ff</sid><ORCID>0009-0001-9278-7327</ORCID><firstname>Rui</firstname><surname>Tan</surname><name>Rui Tan</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-10-14</date><deptcode>EAAS</deptcode><abstract>Rapid uptake of lithium-centric technology, e.g., electric vehicles and large-scale energy storage, is increasing the demand for efficient technologies for lithium extraction from aqueous sources. Among various lithium-extraction technologies, membrane processes hold great promise due to energy efficiency and flexible operation in a continuous process with potential commercial viability. However, membrane separators face challenges such as the extraction efficiency due to the limited selectivity toward lithium relative to other species. Low selectivity can be ascribed to the uncontrollable selective channels and inefficient exclusion functions. However, recent selectivity enhancements for other membrane applications, such as in gas separation and energy storage, suggest that this may also be possible for lithium extraction. This review article focuses on the innovations in the membrane chemistries based on rational design following separation principles and unveiling the theories behind enhanced selectivity. Furthermore, recent progress in membrane-based lithium extraction technologies is summarized with the emphasis on inorganic, organic, and composite materials. The challenges and opportunities for developing the next generation of selective membranes for lithium recovery are also pointed out.</abstract><type>Journal Article</type><journal>Advanced Materials</journal><volume>37</volume><journalNumber>5</journalNumber><paginationStart>2402335</paginationStart><paginationEnd/><publisher>Wiley</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0935-9648</issnPrint><issnElectronic>1521-4095</issnElectronic><keywords>Lithium extraction and recovery, lithium transport mechanisms, membranes, separation</keywords><publishedDay>5</publishedDay><publishedMonth>2</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-02-05</publishedDate><doi>10.1002/adma.202402335</doi><url/><notes>Review</notes><college>COLLEGE NANME</college><department>Engineering and Applied Sciences School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>EAAS</DepartmentCode><institution>Swansea University</institution><apcterm>SU Library paid the OA fee (TA Institutional Deal)</apcterm><funders>X.T. and C.Y. contributed equally to this work. R.T. acknowledges the support from Royal Academy of Enginnering, Royal Society Chemistry (RSC), RSC researcher collaboration grant (C23-8220221815) and Royce Industrial Collaboration Grant (RICP-R4-100029).</funders><projectreference/><lastEdited>2025-02-11T11:27:58.4939804</lastEdited><Created>2024-10-14T08:20:32.5769989</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Chemical Engineering</level></path><authors><author><firstname>Xingpeng</firstname><surname>Tian</surname><order>1</order></author><author><firstname>Chunchun</firstname><surname>Ye</surname><order>2</order></author><author><firstname>Liyuan</firstname><surname>Zhang</surname><orcid>https://orcid.org/0000-0002-7585-5607</orcid><order>3</order></author><author><firstname>Manoj K.</firstname><surname>Sugumar</surname><order>4</order></author><author><firstname>Yan</firstname><surname>Zhao</surname><order>5</order></author><author><firstname>Neil B.</firstname><surname>McKeown</surname><order>6</order></author><author><firstname>Serena</firstname><surname>Margadonna</surname><orcid>0000-0002-6996-6562</orcid><order>7</order></author><author><firstname>Rui</firstname><surname>Tan</surname><orcid>0009-0001-9278-7327</orcid><order>8</order></author></authors><documents><document><filename>67974__33150__2128ff58d9eb4cf0bc0cc09c98217f48.pdf</filename><originalFilename>67974.VOR.pdf</originalFilename><uploaded>2024-12-16T15:27:46.5679262</uploaded><type>Output</type><contentLength>10516401</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© 2024 The Author(s). This is an open access article under the terms of the Creative
Commons Attribution License (CC-BY 4.0).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807> |
spelling |
2025-02-11T11:27:58.4939804 v2 67974 2024-10-14 Enhancing Membrane Materials for Efficient Li Recycling and Recovery e31904a10b1b1240b98ab52d9977dfbe 0000-0002-6996-6562 Serena Margadonna Serena Margadonna true false 774c33a0a76a9152ca86a156b5ae26ff 0009-0001-9278-7327 Rui Tan Rui Tan true false 2024-10-14 EAAS Rapid uptake of lithium-centric technology, e.g., electric vehicles and large-scale energy storage, is increasing the demand for efficient technologies for lithium extraction from aqueous sources. Among various lithium-extraction technologies, membrane processes hold great promise due to energy efficiency and flexible operation in a continuous process with potential commercial viability. However, membrane separators face challenges such as the extraction efficiency due to the limited selectivity toward lithium relative to other species. Low selectivity can be ascribed to the uncontrollable selective channels and inefficient exclusion functions. However, recent selectivity enhancements for other membrane applications, such as in gas separation and energy storage, suggest that this may also be possible for lithium extraction. This review article focuses on the innovations in the membrane chemistries based on rational design following separation principles and unveiling the theories behind enhanced selectivity. Furthermore, recent progress in membrane-based lithium extraction technologies is summarized with the emphasis on inorganic, organic, and composite materials. The challenges and opportunities for developing the next generation of selective membranes for lithium recovery are also pointed out. Journal Article Advanced Materials 37 5 2402335 Wiley 0935-9648 1521-4095 Lithium extraction and recovery, lithium transport mechanisms, membranes, separation 5 2 2025 2025-02-05 10.1002/adma.202402335 Review COLLEGE NANME Engineering and Applied Sciences School COLLEGE CODE EAAS Swansea University SU Library paid the OA fee (TA Institutional Deal) X.T. and C.Y. contributed equally to this work. R.T. acknowledges the support from Royal Academy of Enginnering, Royal Society Chemistry (RSC), RSC researcher collaboration grant (C23-8220221815) and Royce Industrial Collaboration Grant (RICP-R4-100029). 2025-02-11T11:27:58.4939804 2024-10-14T08:20:32.5769989 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemical Engineering Xingpeng Tian 1 Chunchun Ye 2 Liyuan Zhang https://orcid.org/0000-0002-7585-5607 3 Manoj K. Sugumar 4 Yan Zhao 5 Neil B. McKeown 6 Serena Margadonna 0000-0002-6996-6562 7 Rui Tan 0009-0001-9278-7327 8 67974__33150__2128ff58d9eb4cf0bc0cc09c98217f48.pdf 67974.VOR.pdf 2024-12-16T15:27:46.5679262 Output 10516401 application/pdf Version of Record true © 2024 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0). true eng http://creativecommons.org/licenses/by/4.0/ |
title |
Enhancing Membrane Materials for Efficient Li Recycling and Recovery |
spellingShingle |
Enhancing Membrane Materials for Efficient Li Recycling and Recovery Serena Margadonna Rui Tan |
title_short |
Enhancing Membrane Materials for Efficient Li Recycling and Recovery |
title_full |
Enhancing Membrane Materials for Efficient Li Recycling and Recovery |
title_fullStr |
Enhancing Membrane Materials for Efficient Li Recycling and Recovery |
title_full_unstemmed |
Enhancing Membrane Materials for Efficient Li Recycling and Recovery |
title_sort |
Enhancing Membrane Materials for Efficient Li Recycling and Recovery |
author_id_str_mv |
e31904a10b1b1240b98ab52d9977dfbe 774c33a0a76a9152ca86a156b5ae26ff |
author_id_fullname_str_mv |
e31904a10b1b1240b98ab52d9977dfbe_***_Serena Margadonna 774c33a0a76a9152ca86a156b5ae26ff_***_Rui Tan |
author |
Serena Margadonna Rui Tan |
author2 |
Xingpeng Tian Chunchun Ye Liyuan Zhang Manoj K. Sugumar Yan Zhao Neil B. McKeown Serena Margadonna Rui Tan |
format |
Journal article |
container_title |
Advanced Materials |
container_volume |
37 |
container_issue |
5 |
container_start_page |
2402335 |
publishDate |
2025 |
institution |
Swansea University |
issn |
0935-9648 1521-4095 |
doi_str_mv |
10.1002/adma.202402335 |
publisher |
Wiley |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
hierarchy_top_id |
facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
hierarchy_parent_id |
facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Engineering and Applied Sciences - Chemical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Chemical Engineering |
document_store_str |
1 |
active_str |
0 |
description |
Rapid uptake of lithium-centric technology, e.g., electric vehicles and large-scale energy storage, is increasing the demand for efficient technologies for lithium extraction from aqueous sources. Among various lithium-extraction technologies, membrane processes hold great promise due to energy efficiency and flexible operation in a continuous process with potential commercial viability. However, membrane separators face challenges such as the extraction efficiency due to the limited selectivity toward lithium relative to other species. Low selectivity can be ascribed to the uncontrollable selective channels and inefficient exclusion functions. However, recent selectivity enhancements for other membrane applications, such as in gas separation and energy storage, suggest that this may also be possible for lithium extraction. This review article focuses on the innovations in the membrane chemistries based on rational design following separation principles and unveiling the theories behind enhanced selectivity. Furthermore, recent progress in membrane-based lithium extraction technologies is summarized with the emphasis on inorganic, organic, and composite materials. The challenges and opportunities for developing the next generation of selective membranes for lithium recovery are also pointed out. |
published_date |
2025-02-05T08:16:43Z |
_version_ |
1827462660196663296 |
score |
11.055178 |