CO2Adsorption on Porous Materials: Experimental and Simulation Study
Abstract
Removal and sequestration of CO 2 from flue gas has been proposed as one of the most reliable solutions to mitigate globe greenhouse emissions. Adsorption technology based on porous adsorbent is known to be one of the most efficient processes for the CO 2 capture from flue gas. The key issue of this technology is to find the adsorbent with high adsorption capacity and selectivity for CO 2 . In this chapter, both the experimental and the computer simulation works about the CO 2 adsorption behavior on porous materials in our laboratory were introduced. In the experimental works, the mesoporous materials such as MCM-41 and SBA-15 were selected as the fundamental adsorbent. After surface modification by aminosilane, the amine groups became active centers and the CO 2 adsorption capacity was obviously increased due to the chemisorption. It is shown that the dual amine groups of AEAPMDS had better effect on CO 2 adsorption than the single amine group of APTS. The best CO 2 adsorption capacity of MCM-41-AEAPMDS was 2.20 mmol·g -1 at room temperature. Another effective way was incorporation metal Mg into the mesoporous materials. By various impregnating or doping methods, such as the co-condensation, the dispersion with the enhancement of Al 3+ or amine, and the ionic exchange, a suitable amount of Mg 2+ can be successfully introduced into MCM-41 and SBA-15, which effectively increased the CO 2 adsorption capacity. Different pore structures had their corresponding optimized methods,…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Carbon-based adsorbents have no complexity or concern regarding synthesis, cost, and environmental aspects compared to microporous organic polymers.
“unlike the microporous organic polymers, there are not any complexity or concern regarding the synthesis, cost and environmental aspects of synthesis of carbon-based adsorbents [11,18,20,33].”
From Biomass/Biochar carbon materials for CO2 capture and sequestration by cyclic adsorption processes: A review and prospects for future directions (2022) · cites this paper as [33]
Cited by
Sorted by citations
Karimi, M., Shirzad, M., Silva, J. A. C., & Rodrigues, A. E. (2022) · Journal of CO2 Utilization · doi:10.1016/j.jcou.2022.101890 · Cited by 237 · see citing works
Karimi, M., C. Silva, J. A., Gonçalves, C. N. D. P., L. Diaz de Tuesta, J., Rodrigues, A. E., & Gomes, H. T. (2018) · Industrial & Engineering Chemistry Research · doi:10.1021/acs.iecr.8b00953 · Cited by 70 · see citing works
- Authors
- Hu, J., & Liu, H.
- Affiliations
- East China University of Science and Technology (CN)
- Corresponding author
- Liu, Honglai
- ORCID
- Venue
- ACS Symposium Series
- Publisher
- American Chemical Society
- Published
- 2010-01
- Pages
- 209-232
- ISSN
- 0097-6156 (ISSN-L)
- 1947-5918
- OpenAlex
- W2462200819
- Cited by
- 6
- References
- 0
- Citations by year
- 2024: 2 · 2023: 1 · 2018: 1 · 2017: 1
- FWCI
- 1.07
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACS symposium series (publishedVersion)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Carbon Dioxide Capture Technologies
- Physical Sciences › Environmental Science › Environmental Engineering › CO2 Sequestration and Geologic Interactions
- Physical Sciences › Materials Science › Materials Chemistry › Mesoporous Materials and Catalysis
- Keywords
- CO2 adsorption, CO2 capture, flue gas, porous adsorbents, mesoporous materials, MCM-41, SBA-15, amine-functionalized adsorbents, chemisorption, ion exchange, covalent organic frameworks, metal-organic frameworks, zeolitic imidazolate frameworks, MFI zeolite, adsorption modeling
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review