journal article·2019-11-27

Hooped Amino-Group Chains in Porous Organic Polymers for Enhancing Heavy Metal Ion Removal

Kaiqing Zhao, Lingkai Kong, Weiwei Yang, Yuan Huang, He Li, Shihao Ma, Wenjie Lv, Jun Hu, Hualin Wang, Honglai Liu

ACS Applied Materials & Interfaces· Volume 11· Issue 47
Publisher page

Abstract

By adjusting the stretch state of a triethylenetetramine (TETA) chain in an amine-functionalized porous organic polymer (POP), two adsorbents were designed to study the rational microenvironment for heavy metal ion removal. The quantum calculation elucidated that the hooped amino chains in FC-POP-CH2TETA-H exhibited stronger interactions with Pb(II) than the extended one in FC-POP-CH2TETA-E, not only through metal–ligand chelation but also metal coordination. The high binding energy of −2624 kJ mol–1 as well as the constructed microenvironment by the hooped amino chains ensured an extremely high Pb(II) capacity of 1134 mg g–1 on FC-POP-CH2TETA-H. Meanwhile, no more than 5 min to approach adsorption equilibrium revealed its ultrafast adsorption rate. It also showed excellent broad removal capability for multiple metal ions and nonsensitivity to pH. Therefore, by controlling the microenvironmental structures with suitable porosity, functional group stretching states, and coordination modes, the removal efficiency of heavy metal ions would be significantly enhanced, which further provided a promising strategy for designing a rational microenvironment to improve the task-specific separation properties.
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.

References (38)

Show source-provided references
1. 10.1021/ja500506k10.1021/ja500506k ↗
2. 10.1126/science.122633710.1126/science.1226337 ↗
3. 10.1016/j.seppur.2012.10.04910.1016/j.seppur.2012.10.049 ↗
4. 10.3390/met908085810.3390/met9080858 ↗
5. 10.1016/j.jenvman.2010.11.01110.1016/j.jenvman.2010.11.011 ↗
6. 10.1016/S0956-053X(02)00079-X10.1016/S0956-053X(02)00079-X ↗
7. 10.1016/S0043-1354(02)00149-510.1016/S0043-1354(02)00149-5 ↗
8. 10.1016/j.cej.2011.04.05110.1016/j.cej.2011.04.051 ↗
9. 10.1039/C4RA10830B10.1039/C4RA10830B ↗
10. 10.1016/j.jhazmat.2008.06.08010.1016/j.jhazmat.2008.06.080 ↗
11. 10.1038/ncomms653710.1038/ncomms6537 ↗
12. 10.1021/acs.nanolett.6b0076810.1021/acs.nanolett.6b00768 ↗
13. 10.1021/jacs.6b1232810.1021/jacs.6b12328 ↗
14. 10.1038/s41467-017-02600-210.1038/s41467-017-02600-2 ↗
15. 10.1016/j.jcis.2010.01.05710.1016/j.jcis.2010.01.057 ↗
16. 10.1016/j.cej.2009.09.00910.1016/j.cej.2009.09.009 ↗
17. 10.1016/j.micromeso.2005.06.00910.1016/j.micromeso.2005.06.009 ↗
18. 10.1080/01496395.2018.143607110.1080/01496395.2018.1436071 ↗
19. 10.1016/j.seppur.2011.10.01110.1016/j.seppur.2011.10.011 ↗
20. 10.3390/ma1104051410.3390/ma11040514 ↗
21. 10.1016/j.jmmm.2016.10.07410.1016/j.jmmm.2016.10.074 ↗
22. 10.1016/j.ijbiomac.2018.11.10610.1016/j.ijbiomac.2018.11.106 ↗
23. 10.1021/ma200630s10.1021/ma200630s ↗
24. Li, J.; Huang, J. T.; Gong, Y. In Factorized Adaptation for Deep Neural Network, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); IEEE, 2014; pp 5537–5541.10.1109/ICASSP.2014.6854662 ↗
25. 10.1016/j.micromeso.2015.05.01310.1016/j.micromeso.2015.05.013 ↗
26. 10.1039/C1CS15227K10.1039/C1CS15227K ↗
27. 10.1007/s40789-016-0148-810.1007/s40789-016-0148-8 ↗
28. 10.1002/app.3178710.1002/app.31787 ↗
29. 10.1002/anie.20120217610.1002/anie.201202176 ↗
30. 10.1002/adma.20110378910.1002/adma.201103789 ↗
31. 10.1007/s10934-014-9852-110.1007/s10934-014-9852-1 ↗
32. 10.1016/j.cej.2007.05.02110.1016/j.cej.2007.05.021 ↗
33. 10.1016/j.apmt.2017.07.00910.1016/j.apmt.2017.07.009 ↗
34. 10.1016/j.watres.2007.10.03110.1016/j.watres.2007.10.031 ↗
35. 10.1016/j.jiec.2014.02.01110.1016/j.jiec.2014.02.011 ↗
36. 10.1016/j.seppur.2005.12.02010.1016/j.seppur.2005.12.020 ↗
37. 10.1016/j.jhazmat.2008.12.08110.1016/j.jhazmat.2008.12.081 ↗
38. 10.1021/es400166410.1021/es4001664 ↗