The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Gas Separation Membrane Materials: A Perspective
Abstract
The membrane gas separation industry is 35 years old and growing at a significant rate. Development of higher selectivity and higher permeance membranes would result in faster growth. This paper will analyze the barriers that have inhibited the development of these membranes. We start by reviewing the lessons that can be drawn from the past 35 years of experience. We then review the needs and most promising research directions for new materials in current and future membrane applications.
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Citations
Cites
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The solution-diffusion model: a review
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Self-citationCorrelation of separation factor versus permeability for polymeric membranes
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Future Directions of Membrane Gas Separation Technology
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Self-citationBasis of Permeability/Selectivity Tradeoff Relations in Polymeric Gas Separation Membranes
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Power plant post-combustion carbon dioxide capture: An opportunity for membranes
Merkel, T. C., Lin, H., Wei, X., & Baker, R. (2010) · Journal of Membrane Science · doi:10.1016/j.memsci.2009.10.041 · Cited by 1,657
Self-citationEnergy-efficient polymeric gas separation membranes for a sustainable future: A review
Sanders, D. F., Smith, Z. P., Guo, R., Robeson, L. M., McGrath, J. E., Paul, D. R., & Freeman, B. D. (2013) · Polymer · doi:10.1016/j.polymer.2013.05.075 · Cited by 1,477
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Self-citationPolymeric Gas Separation Membranes
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Cited by
Galizia, M., Chi, W. S., Smith, Z. P., Merkel, T. C., Baker, R. W., & Freeman, B. D. (2017) · Macromolecules · doi:10.1021/acs.macromol.7b01718 · Cited by 989
Self-citationHydrogen-Bonded Organic Frameworks as a Tunable Platform for Functional Materials
Wang, B., Lin, R.-B., Zhang, Z., Xiang, S., & Chen, B. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.0c06473 · Cited by 852
Yang, L., Qian, S., Wang, X., Cui, X., Chen, B., & Xing, H. (2020) · Chemical Society Reviews · doi:10.1039/c9cs00756c · Cited by 746
Two‐Dimensional Metal–Organic Framework Nanosheets for Membrane‐Based Gas Separation
Peng, Y., Li, Y., Ban, Y., & Yang, W. (2017) · Angewandte Chemie International Edition · doi:10.1002/anie.201703959 · Cited by 470
Advanced Porous Materials in Mixed Matrix Membranes
Cheng, Y., Ying, Y., Japip, S., Jiang, S., Chung, T., Zhang, S., & Zhao, D. (2018) · Advanced Materials · doi:10.1002/adma.201802401 · Cited by 448
Advances in metal–organic framework-based membranes
Cheng, Y., Datta, S. J., Zhou, S., Jia, J., Shekhah, O., & Eddaoudi, M. (2022) · Chemical Society Reviews · doi:10.1039/d2cs00031h · Cited by 423
Polyimides in membrane gas separation: Monomer’s molecular design and structural engineering
Sanaeepur, H., Ebadi Amooghin, A., Bandehali, S., Moghadassi, A., Matsuura, T., & Van der Bruggen, B. (2019) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2019.02.001 · Cited by 389
Harnessing Filler Materials for Enhancing Biogas Separation Membranes
Chuah, C. Y., Goh, K., Yang, Y., Gong, H., Li, W., Karahan, H. E., Guiver, M. D., Wang, R., & Bae, T.-H. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00091 · Cited by 339
Solution processable metal–organic frameworks for mixed matrix membranes using porous liquids
Knebel, A., Bavykina, A., Datta, S. J., Sundermann, L., Garzon-Tovar, L., Lebedev, Y., Durini, S., Ahmad, R., Kozlov, S. M., Shterk, G., et al. (2020) · Nature Materials · doi:10.1038/s41563-020-0764-y · Cited by 331
Xie, K., Fu, Q., Qiao, G. G., & Webley, P. A. (2019) · Journal of Membrane Science · doi:10.1016/j.memsci.2018.10.049 · Cited by 308
Metadata
- Authors
- Baker, R. W., & Low, B. T.
- Venue
- Macromolecules
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-09-17
- Volume
- 47
- Issue
- 20
- Pages
- 6999-7013
- ISSN
- 0024-9297 (ISSN-L)
- 1520-5835
- OpenAlex
- W2078748481
- Cited by
- 1,203
- References
- 44
- FWCI
- 81.03
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.