Selective Adsorption of Magnesium Using Lithium Carboxylate-Based Covalent Organic Frameworks
Source abstract
Abstract
Magnesium and lithium exhibit similar behaviors in aqueous solutions, making their separation from each other in saltlake brine challenging. Here, we report the design and synthesis of four lithium carboxylate-based covalent organic frameworks (COFs), ATSA-1 through ATSA-4, that selectively adsorb Mg 2+ ions over Li + . Adsorption performance was investigated under varying initial Mg 2+ concentrations, adsorbent dosages, and contact times. Among the COFs, ATSA-4 demonstrated the highest Mg 2+ adsorption capacity, reaching 19 mg g –1 . Adsorption data aligned with the Langmuir isotherm model, while kinetic analysis indicated a pseudo-second-order model best described Mg 2+ uptake. Regeneration tests revealed that hydrochloric acid at pH 3 efficiently desorbed Mg 2+, enabling the COF reusability. Additionally, a COF-supported ultrafiltration bed yielded a Mg 2+ separation flux of 19 g h –1 m –2 . The ATSA-COF series further displayed a high selectivity for Mg 2+ in mixed Mg 2+ /Li + solutions.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Covalent Organic Framework Applications · Metal-Organic Frameworks: Synthesis and Applications · Radioactive element chemistry and processing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Food Science, College of Agriculture and Life Sciences
Cornell University
Department of Chemistry and Catalysis Research Center, Technical University of Munich, Lichtenberg Strasse 4, 85747 Garching, Germany
Funding
Division of Materials Research
References (26)
Show source-provided references
1. 10.1016/j.jhazmat.2021.12790010.1016/j.jhazmat.2021.127900 ↗
2. 10.1595/205651317X69667610.1595/205651317X696676 ↗
3. 10.1016/j.desal.2022.11622510.1016/j.desal.2022.116225 ↗
4. 10.1016/j.seppur.2018.06.01210.1016/j.seppur.2018.06.012 ↗
5. 10.1016/j.desal.2022.11561110.1016/j.desal.2022.115611 ↗
6. 10.1007/s11426-024-2218-810.1007/s11426-024-2218-8 ↗
7. 10.1016/j.desal.2022.11620510.1016/j.desal.2022.116205 ↗
8. 10.1016/j.jiec.2019.09.00210.1016/j.jiec.2019.09.002 ↗
9. 10.1016/j.seppur.2020.11780710.1016/j.seppur.2020.117807 ↗
10. 10.1021/acs.accounts.5b0036910.1021/acs.accounts.5b00369 ↗
11. 10.1016/j.mtsust.2022.10027910.1016/j.mtsust.2022.100279 ↗
12. 10.1021/jacs.8b1033410.1021/jacs.8b10334 ↗
13. 10.1016/j.ccr.2019.21304610.1016/j.ccr.2019.213046 ↗
14. 10.1021/acsami.3c0105110.1021/acsami.3c01051 ↗
15. 10.1021/jacs.8b1033410.1021/jacs.8b10334 ↗
16. 10.1016/j.mtsust.2022.10027910.1016/j.mtsust.2022.100279 ↗
17. 10.1021/acsami.3c0105110.1021/acsami.3c01051 ↗
18. 10.3390/polym1415315810.3390/polym14153158 ↗
19. 10.1021/acsami.8b1908710.1021/acsami.8b19087 ↗
20. 10.1038/s42004-019-0162-z10.1038/s42004-019-0162-z ↗
21. 10.1126/science.249.4965.13310.1126/science.249.4965.133 ↗
22. 10.1126/science.249.4965.13310.1126/science.249.4965.133 ↗
23. 10.1038/s41467-019-13648-710.1038/s41467-019-13648-7 ↗
24. 10.1038/s41467-019-13648-710.1038/s41467-019-13648-7 ↗
25. 10.1021/acs.langmuir.1c0014210.1021/acs.langmuir.1c00142 ↗
26. 10.1016/j.reactfunctpolym.2003.06.00210.1016/j.reactfunctpolym.2003.06.002 ↗