Amino-functionalized magnetic nanoparticles for CO2 capture
Source abstract
Abstract
CO2 accumulation is inducing an effect of global warming. Adsorption using solid sorbents is proving as an effective strategy for CO2 capture and reuse. The aim of this study was to develop amino-functionalized magnetic nanoparticles by depositing various amines through co-precipitation or impregnation-sonication. Structural characteristics were studied through SEM, BET and XRD analyses, evidencing coarse particles with low crystallinity and surface areas of 100–150 m2 g−1, while FT-IR confirmed CO2 interacting with substrate. The load of functional group, particles stability, and CO2 sorption capacity were assessed through elemental and thermogravimetric analysis. It was found that loads of functional groups ranging from 1.6 to 6.1 wt.%. were deposited, and most samples showed sound stability up to 100°C. Sorption capacities were in the range 0.2–1.5 g gNH2−1, the highest being 1.46 g gNH2−1 for ɛ-aminocaproic acid. Such sample also exhibited good recyclability, with a performance drop of 11% after many cycles. CO2 uptake decreased with increasing temperature in the range 25–45°C, suggesting a chemical bond between CO2 and amines. Amino functionalized particles could thus be an interesting solution for CO2 capture and utilization thanks to fast kinetics, recyclability, and ease of separation.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Carbon Dioxide Capture Technologies · Membrane Separation and Gas Transport · Phase Equilibria and Thermodynamics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemistry, Materials and Chemical Engineering “G. Natta”, Milano, Italy
Funding
receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors
References (39)
Show source-provided references
1. Masson-Delmotte V · 2018
2. World Metereological Organization. Bulletin: Realizing the WMO 2030 Vision 68, 2019.
3. 10.1016/j.marpolbul.2014.12.00110.1016/j.marpolbul.2014.12.001 ↗
4. 10.1002/anie.20100043110.1002/anie.201000431 ↗
5. 10.5772/6572310.5772/65723 ↗
6. 10.1016/j.cogsc.2019.07.00210.1016/j.cogsc.2019.07.002 ↗
7. 10.1016/j.apenergy.2015.10.01110.1016/j.apenergy.2015.10.011 ↗
8. 10.1002/admt.20170008810.1002/admt.201700088 ↗
9. 10.1016/j.jes.2019.03.01410.1016/j.jes.2019.03.014 ↗
10. 10.1016/j.fuel.2018.08.16610.1016/j.fuel.2018.08.166 ↗
11. 10.1016/j.rser.2018.11.01810.1016/j.rser.2018.11.018 ↗
12. 10.1016/j.fuel.2009.11.01910.1016/j.fuel.2009.11.019 ↗
13. 10.1016/j.ijggc.2020.10300510.1016/j.ijggc.2020.103005 ↗
14. 10.1016/S1750-5836(07)00031-X10.1016/S1750-5836(07)00031-X ↗
15. 10.1016/j.cogsc.2019.10.00210.1016/j.cogsc.2019.10.002 ↗
16. 10.1021/ef201224v10.1021/ef201224v ↗
17. 10.1002/cssc.20090003610.1002/cssc.200900036 ↗
18. 10.1080/19475411.2012.68877310.1080/19475411.2012.688773 ↗
19. 10.1080/19475411.2012.66886110.1080/19475411.2012.668861 ↗
20. 10.1016/j.jmmm.2006.10.79510.1016/j.jmmm.2006.10.795 ↗
21. 10.1016/j.apcatb.2015.04.00310.1016/j.apcatb.2015.04.003 ↗
22. 10.1016/j.colsurfa.2016.05.06410.1016/j.colsurfa.2016.05.064 ↗
23. 10.1016/j.clay.2016.04.00910.1016/j.clay.2016.04.009 ↗
24. 10.1016/j.jallcom.2018.04.09310.1016/j.jallcom.2018.04.093 ↗
25. 10.1080/19475411.2010.52887310.1080/19475411.2010.528873 ↗
26. 10.1039/C8AY01816B10.1039/C8AY01816B ↗
27. 10.1016/j.petrol.2020.10694310.1016/j.petrol.2020.106943 ↗
28. 10.1007/s00604-017-2224-110.1007/s00604-017-2224-1 ↗
29. 10.1039/C5RA11561B10.1039/C5RA11561B ↗
30. 10.1007/s00604-012-0815-410.1007/s00604-012-0815-4 ↗
31. 10.1016/j.jhazmat.2021.12565510.1016/j.jhazmat.2021.125655 ↗
32. 10.1016/j.chroma.2017.08.06410.1016/j.chroma.2017.08.064 ↗
33. 10.1016/j.fuel.2020.11969110.1016/j.fuel.2020.119691 ↗
34. 10.1007/s11356-020-10885-y10.1007/s11356-020-10885-y ↗
35. 10.1016/j.colsurfa.2021.12623110.1016/j.colsurfa.2021.126231 ↗
36. 10.1016/j.cej.2012.12.01710.1016/j.cej.2012.12.017 ↗
37. 10.1016/j.cej.2016.11.01310.1016/j.cej.2016.11.013 ↗
38. 10.1002/aic.1557110.1002/aic.15571 ↗
39. 10.1002/ente.20160069410.1002/ente.201600694 ↗