The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Storage and Separation of CO2 and CH4 in Silicalite, C168 Schwarzite, and IRMOF-1: A Comparative Study from Monte Carlo Simulation
Abstract
Storage of pure CO2 and CH4 and separation of their binary mixture in three different classes of nanostructured adsorbents--silicalite, C168 schwarzite, and IRMOF-1--have been compared at room temperature using atomistic simulation. CH4 is represented as a spherical Lennard-Jones molecule, and CO2 is represented as a rigid linear molecule with a quadrupole moment. For pure component adsorption, CO2 is preferentially adsorbed than CH4 in all the three adsorbents over the pressure range under this study, except in C168 schwarzite at high pressures. The simulated adsorption isotherms and isosteric heats match closely with available experimental data. A dual-site Langmuir-Freundlich equation is used to fit the isotherms satisfactorily. Compared to silicalite and C168 schwarzite, the gravimetric adsorption capacity of pure CH4 and CO2 separately in IRMOF-1 is substantially larger. This implies that IRMOF-1 might be a potential storage medium for CH4 and CO2. For adsorption from an equimolar binary mixture, CO2 is preferentially adsorbed in all three adsorbents. Predictions of mixture adsorption with the ideal-adsorbed solution theory on the basis of only pure component adsorption agree well with simulation results. Though IRMOF-1 has a significantly higher adsorption capacity than silicalite and C168 schwarzite, the adsorption selectivity of CO2 over CH4 is found to be similar in all three adsorbents.
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
Millward, A. R., & Yaghi, O. M. (2005) · Journal of the American Chemical Society · doi:10.1021/ja0570032 · Cited by 2,876
Cited by
Adsorption of CO2, CH4, and N2 on Zeolitic Imidazolate Frameworks: Experiments and Simulations
Pérez‐Pellitero, J., Amrouche, H., Siperstein, F. R., Pirngruber, G., Nieto‐Draghi, C., Chaplais, G., Simon‐Masseron, A., Bazer‐Bachi, D., Peralta, D., & Bats, N. (2010) · Chemistry – A European Journal · doi:10.1002/chem.200902144 · Cited by 417
Sorbents for CO2 capture from flue gas—aspects from materials and theoretical chemistry
Hedin, N., Chen, L., & Laaksonen, A. (2010) · Nanoscale · doi:10.1039/c0nr00042f · Cited by 243
Peng, X., & Cao, D. (2013) · AIChE Journal · doi:10.1002/aic.14046 · Cited by 92
Metadata
- Authors
- Babarao, R., Hu, Z., Jiang, J., Chempath, S., & Sandler, S. I.
- Venue
- Langmuir
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-11-17
- Volume
- 23
- Issue
- 2
- Pages
- 659-666
- ISSN
- 0743-7463 (ISSN-L)
- 1520-5827
- OpenAlex
- W2019293828
- Cited by
- 408
- References
- 1
- FWCI
- 14.42
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.