The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Noble Gas Adsorption in Metal–Organic Frameworks Containing Open Metal Sites
Abstract
The adsorption of noble gases (Ar, Kr, Xe, and Rn) and N 2 by a diverse range of Metal–Organic Frameworks (MOFs) containing open metal sites (OMS) was systematically investigated using volumetric gas porosimetry and grand canonical Monte Carlo simulation. The ten MOFs considered are grouped into two series. The first, MOF-74- x, is based upon MOF-74/CPO-27, which has divalent metal ions Mg, Co, Ni, and Zn, and was chosen to explore the effect of metal identity within a constant topology. The second series, nbo -MOFs, consists of NOTT-100, NOTT-101, NOTT-102, NOTT-103, and PCN-14 and probes the effect of pore size while maintaining constant OMS identity and similar coordination environment. Comparisons of the nbo -MOFs with HKUST-1 are also made, since this MOF has a similar chemical structure, although the topology is different from the nbo structures. Gas uptake and Henry’s constant ( k H ) for nbo -MOFs increase with decreasing pore size, and as pore size decreases, the effect of gas polarizability on k H becomes more profound. This implies that tailored pore size can strongly influence k H, especially for the more polarizable gases Kr and Xe. A detailed analysis of the void space in the nbo -series reveals large cages connected by narrow pores, resulting in tortuous, zigzag diffusion pathways that likely increase the strength of the MOF–gas interaction. Data for the MOF-74- x series show that both the density of OMS and their accessibility in this topology enhance the framework interaction with the noble gases. However, because the interaction is largely due to (point charge)−(induced-dipole) interactions and the charge on the metal ion varies little, the specific identity of the metal ion is relatively unimportant. Consequently, new MOFs tailored to maximize noble gas uptake from air should target structures with both a high density of OMS and pores that are approaching the size of the gas of interest.
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
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
Adsorbents: Fundamentals and Applications
Yang, R. T. (2003) · doi:10.1002/047144409x · Cited by 1,182
Cited by
Metal–Organic Frameworks for Separation
Zhao, X., Wang, Y., Li, D., Bu, X., & Feng, P. (2018) · Advanced Materials · doi:10.1002/adma.201705189 · Cited by 1,305
Proton Transport in Metal–Organic Frameworks
Lim, D.-W., & Kitagawa, H. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00842 · Cited by 689
Separation of rare gases and chiral molecules by selective binding in porous organic cages
Chen, L., Reiss, P. S., Chong, S. Y., Holden, D., Jelfs, K. E., Hasell, T., Little, M. A., Kewley, A., Briggs, M. E., Stephenson, A., et al. (2014) · Nature Materials · doi:10.1038/nmat4035 · Cited by 666
Metal–organic framework with optimally selective xenon adsorption and separation
Banerjee, D., Simon, C. M., Plonka, A. M., Motkuri, R. K., Liu, J., Chen, X., Smit, B., Parise, J. B., Haranczyk, M., & Thallapally, P. K. (2016) · Nature Communications · doi:10.1038/ncomms11831 · Cited by 466
Self-citationPotential of Metal–Organic Frameworks for Separation of Xenon and Krypton
Banerjee, D., Cairns, A. J., Liu, J., Motkuri, R. K., Nune, S. K., Fernandez, C. A., Krishna, R., Strachan, D. M., & Thallapally, P. K. (2015) · Accounts of Chemical Research · doi:10.1021/ar5003126 · Cited by 428
Metadata
- Authors
- Perry, J. J., Teich-McGoldrick, S. L., Meek, S. T., Greathouse, J. A., Haranczyk, M., & Allendorf, M. D.
- Venue
- The Journal of Physical Chemistry C
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-05-23
- Volume
- 118
- Issue
- 22
- Pages
- 11685-11698
- ISSN
- 1932-7447 (ISSN-L)
- 1932-7455
- OpenAlex
- W2312521721
- Cited by
- 192
- References
- 2
- FWCI
- 7.76
- 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.