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Redefining the Robeson upper bounds for CO2/CH4 and CO2/N2 separations using a series of ultrapermeable benzotriptycene-based polymers of intrinsic microporosity
Open accessAbstract
Ultrapermeable benzotriptycene-based PIMs show exceptional gas selectivities that define new positions for the CO 2/CH 4 and CO 2/N 2 Robeson upper bounds.
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Cited by
Direct air capture: process technology, techno-economic and socio-political challenges
Erans, M., Sanz-Pérez, E. S., Hanak, D. P., Clulow, Z., Reiner, D. M., & Mutch, G. A. (2022) · Energy & Environmental Science · doi:10.1039/d1ee03523a · Cited by 688
Microporous framework membranes for precise molecule/ion separations
Dou, H., Xu, M., Wang, B., Zhang, Z., Wen, G., Zheng, Y., Luo, D., Zhao, L., Yu, A., Zhang, L., et al. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00552e · Cited by 371
Metadata
- Authors
- Comesaña-Gándara, B., Chen, J., Bezzu, C. G., Carta, M., Rose, I., Ferrari, M.-C., Esposito, E., Fuoco, A., Jansen, J. C., & McKeown, N. B.
- Venue
- Energy & Environmental Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2019
- Volume
- 12
- Issue
- 9
- Pages
- 2733-2740
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W2962943764
- Cited by
- 953
- References
- 0
- FWCI
- 48.15
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: Redefining the Robeson upper bounds for CO2/CH4 and CO2/N2 separations using a series of ultrapermeable benzotriptycene-based polymers of intrinsic microporosity. https://app.cochat.ai/papers/10.1039/c9ee01384a
- The paper
- Comesaña-Gándara, B., Chen, J., Bezzu, C. G., Carta, M., Rose, I., Ferrari, M.-C., Esposito, E., Fuoco, A., Jansen, J. C., & McKeown, N. B. (2019). Redefining the Robeson upper bounds for CO2/CH4 and CO2/N2 separations using a series of ultrapermeable benzotriptycene-based polymers of intrinsic microporosity. Energy & Environmental Science. https://doi.org/10.1039/c9ee01384a
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
