The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Progress in adsorption-based CO2capture by metal–organic frameworks
Abstract
Metal-organic frameworks (MOFs) have recently attracted intense research interest because of their permanent porous structures, large surface areas, and potential applications as novel adsorbents. The recent progress in adsorption-based CO(2) capture by MOFs is reviewed and summarized in this critical review. CO(2) adsorption in MOFs has been divided into two sections, adsorption at high pressures and selective adsorption at approximate atmospheric pressures. Keys to CO(2) adsorption in MOFs at high pressures and low pressures are summarized to be pore volumes of MOFs, and heats of adsorption, respectively. Many MOFs have high CO(2) selectivities over N(2) and CH(4). Water effects on CO(2) adsorption in MOFs are presented and compared with benchmark zeolites. In addition, strategies appeared in the literature to enhance CO(2) adsorption capacities and/or selectivities in MOFs have been summarized into three main categories, catenation and interpenetration, chemical bonding enhancement, and electrostatic force involvement. Besides the advantages, two main challenges of using MOFs in CO(2) capture, the cost of synthesis and the stability toward water vapor, have been analyzed and possible solutions and path forward have been proposed to address the two challenges as well (150 references).
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Cites
Metal-organic framework materials as catalysts
Lee, J., Farha, O. K., Roberts, J., Scheidt, K. A., Nguyen, S. T., & Hupp, J. T. (2009) · Chemical Society Reviews · doi:10.1039/b807080f · Cited by 7,969
Millward, A. R., & Yaghi, O. M. (2005) · Journal of the American Chemical Society · doi:10.1021/ja0570032 · Cited by 2,876
Advances in CO2 capture technology—The U.S. Department of Energy's Carbon Sequestration Program
Figueroa, J. D., Fout, T., Plasynski, S., McIlvried, H., & Srivastava, R. D. (2008) · International Journal of Greenhouse Gas Control · doi:10.1016/s1750-5836(07)00094-1 · Cited by 2,281
Adsorbents: Fundamentals and Applications
Yang, R. T. (2003) · doi:10.1002/047144409x · Cited by 1,182
An Amine-Functionalized MIL-53 Metal−Organic Framework with Large Separation Power for CO 2 and CH 4
Couck, S., Denayer, J. F. M., Baron, G. V., Rémy, T., Gascon, J., & Kapteijn, F. (2009) · Journal of the American Chemical Society · doi:10.1021/ja900555r · Cited by 988
Sumida, K., Horike, S., Kaye, S. S., Herm, Z. R., Queen, W. L., Brown, C. M., Grandjean, F., Long, G. J., Dailly, A., & Long, J. R. (2010) · Chemical Science · doi:10.1039/c0sc00179a · Cited by 347
Cited by
Carbon capture and storage (CCS): the way forward
Bui, M., Adjiman, C. S., Bardow, A., Anthony, E. J., Boston, A., Brown, S., Fennell, P. S., Fuss, S., Galindo, A., Hackett, L. A., et al. (2018) · Energy & Environmental Science · doi:10.1039/c7ee02342a · Cited by 4,374
Direct Capture of CO2 from Ambient Air
Sanz-Pérez, E. S., Murdock, C. R., Didas, S. A., & Jones, C. W. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00173 · Cited by 2,406
Kökçam-Demir, Ü., Goldman, A., Esrafili, L., Gharib, M., Morsali, A., Weingart, O., & Janiak, C. (2020) · Chemical Society Reviews · doi:10.1039/c9cs00609e · Cited by 895
Metal–organic frameworks based on flexible ligands (FL-MOFs): structures and applications
Lin, Z.-J., Lü, J., Hong, M., & Cao, R. (2014) · Chem. Soc. Rev. · doi:10.1039/c3cs60483g · Cited by 874
Metal–organic frameworks for membrane-based separations
Denny, M. S., Moreton, J. C., Benz, L., & Cohen, S. M. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.78 · Cited by 820
Metadata
- Authors
- Liu, J., Thallapally, P. K., McGrail, B. P., Brown, D. R., & Liu, J.
- Venue
- Chem. Soc. Rev.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 41
- Issue
- 6
- Pages
- 2308-2322
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2136135866
- Cited by
- 1,339
- References
- 6
- FWCI
- 1.19
- Type
- journal article
- Language
- en
- Open access
- closed
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