The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Exceptional CO2capture in a hierarchically porous carbon with simultaneous high surface area and pore volume
Open accessAbstract
A new type of hierarchically porous carbon (HPC) structures of simultaneously high surface area and high pore volume has been synthesised from carefully controlled carbonization of in-house optimised metal–organic frameworks (MOFs). Changes in synthesis conditions lead to millimetre-sized MOF-5 crystals in a high yield. Subsequent carbonization of the MOFs yield HPCs with simultaneously high surface area, up to 2734 m2 g−1, and exceptionally high total pore volume, up to 5.53 cm3 g−1. In the HPCs, micropores are mostly retained and meso- and macro- pores are generated from defects in the individual crystals, which is made possible by structural inheritance from the MOF precursor. The resulting HPCs show a significant amount of CO2 adsorption, over 27 mmol g−1 (119 wt%) at 30 bar and 27 °C, which is one of the highest values reported in the literature for porous carbons. The findings are comparatively analysed with the literature. The results show great potential for the development of high capacity carbon-based sorbents for effective pre-combustion CO2 capture and other gas and energy storage applications.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Post-Combustion CO 2 Capture Using Solid Sorbents: A Review
Samanta, A., Zhao, A., Shimizu, G. K. H., Sarkar, P., & Gupta, R. (2012) · Industrial & Engineering Chemistry Research · doi:10.1021/ie200686q · Cited by 1,889
Sustainable porous carbons with a superior performance for CO2 capture
Sevilla, M., & Fuertes, A. B. (2011) · Energy & Environmental Science · doi:10.1039/c0ee00784f · Cited by 1,088
Effect of pore size on carbon dioxide sorption by carbide derived carbon
Presser, V., McDonough, J., Yeon, S.-H., & Gogotsi, Y. (2011) · Energy & Environmental Science · doi:10.1039/c1ee01176f · Cited by 668
Reducing the Cost of CO 2 Capture from Flue Gases Using Pressure Swing Adsorption
Ho, M. T., Allinson, G. W., & Wiley, D. E. (2008) · Industrial & Engineering Chemistry Research · doi:10.1021/ie070831e · Cited by 566
Wang, R., Wang, P., Yan, X., Lang, J., Peng, C., & Xue, Q. (2012) · ACS Applied Materials & Interfaces · doi:10.1021/am302077c · Cited by 475
High Surface Area, sp2-Cross-Linked Three-Dimensional Graphene Monoliths
Worsley, M. A., Olson, T. Y., Lee, J. R. I., Willey, T. M., Nielsen, M. H., Roberts, S. K., Pauzauskie, P. J., Biener, J., Satcher, J. H., & Baumann, T. F. (2011) · The Journal of Physical Chemistry Letters · doi:10.1021/jz200223x · Cited by 230
Cited by
Sun, M.-H., Huang, S.-Z., Chen, L.-H., Li, Y., Yang, X.-Y., Yuan, Z.-Y., & Su, B.-L. (2016) · Chemical Society Reviews · doi:10.1039/c6cs00135a · Cited by 1,454
Graphene-based materials: Synthesis and gas sorption, storage and separation
Gadipelli, S., & Guo, Z. X. (2015) · Progress in Materials Science · doi:10.1016/j.pmatsci.2014.10.004 · Cited by 734
Self-citationFunctional materials derived from open framework templates/precursors: synthesis and applications
Sun, J.-K., & Xu, Q. (2014) · Energy & Environmental Science · doi:10.1039/c4ee00517a · Cited by 687
Porous Carbons: Structure‐Oriented Design and Versatile Applications
Tian, W., Zhang, H., Duan, X., Sun, H., Shao, G., & Wang, S. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201909265 · Cited by 657
Review of pre-combustion capture and ionic liquid in carbon capture and storage
Theo, W. L., Lim, J. S., Hashim, H., Mustaffa, A. A., & Ho, W. S. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.09.103 · Cited by 396
Metadata
- Authors
- Srinivas, G., Krungleviciute, V., Guo, Z.-X., & Yildirim, T.
- Venue
- Energy Environ. Sci.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 7
- Issue
- 1
- Pages
- 335-342
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W2135487064
- Cited by
- 428
- References
- 6
- FWCI
- 46.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Exceptional CO2capture in a hierarchically porous carbon with simultaneous high surface area and pore volume. https://app.cochat.ai/papers/10.1039/c3ee42918k
- The paper
- Srinivas, G., Krungleviciute, V., Guo, Z.-X., & Yildirim, T. (2014). Exceptional CO2capture in a hierarchically porous carbon with simultaneous high surface area and pore volume. Energy Environ. Sci. https://doi.org/10.1039/c3ee42918k
Data sources
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.