The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
Metal–Organic Framework Based Hydrogen-Bonding Nanotrap for Efficient Acetylene Storage and Separation
Open accessAbstract
The removal of carbon dioxide (CO 2 ) from acetylene (C 2 H 2 ) is a critical industrial process for manufacturing high-purity C 2 H 2 . However, it remains challenging to address the tradeoff between adsorption capacity and selectivity, on account of their similar physical properties and molecular sizes. To overcome this difficulty, here we report a novel strategy involving the regulation of a hydrogen-bonding nanotrap on the pore surface to promote the separation of C 2 H 2 /CO 2 mixtures in three isostructural metal–organic frameworks (MOFs, named MIL-160, CAU-10H, and CAU-23, respectively). Among them, MIL-160, which has abundant hydrogen-bonding acceptors as nanotraps, can selectively capture acetylene molecules and demonstrates an ultrahigh C 2 H 2 storage capacity (191 cm 3 g –1, or 213 cm 3 cm –3 ) but much less CO 2 uptake (90 cm 3 g –1 ) under ambient conditions. The C 2 H 2 adsorption amount of MIL-160 is remarkably higher than those for the other two isostructural MOFs (86 and 119 cm 3 g –1 for CAU-10H and CAU-23, respectively) under the same conditions. More importantly, both simulation and experimental breakthrough results show that MIL-160 sets a new benchmark for equimolar C 2 H 2 /CO 2 separation in terms of the separation potential (Δ q break = 5.02 mol/kg) and C 2 H 2 productivity (6.8 mol/kg). In addition, in situ FT-IR experiments and computational modeling further reveal that the unique host–guest multiple hydrogen-bonding interaction between the nanotrap and C 2 H 2 is the key factor for achieving the extraordinary acetylene storage capacity and superior C 2 H 2 /CO 2 selectivity. This work provides a novel and powerful approach to address the tradeoff of this extremely challenging gas separation.
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
A climbing image nudged elastic band method for finding saddle points and minimum energy paths
Henkelman, G., Uberuaga, B. P., & Jónsson, H. (2000) · The Journal of Chemical Physics · doi:10.1063/1.1329672 · Cited by 21,620
The Chemistry and Applications of Metal-Organic Frameworks
Furukawa, H., Cordova, K. E., O’Keeffe, M., & Yaghi, O. M. (2013) · Science · doi:10.1126/science.1230444 · Cited by 16,945
Henkelman, G., & Jónsson, H. (2000) · The Journal of Chemical Physics · doi:10.1063/1.1323224 · Cited by 9,523
Selective gas adsorption and separation in metal–organic frameworks
Li, J.-R., Kuppler, R. J., & Zhou, H.-C. (2009) · Chemical Society Reviews · doi:10.1039/b802426j · Cited by 8,932
Self-citationDeacon, G. (1980) · Coordination Chemistry Reviews · doi:10.1016/s0010-8545(00)80455-5 · Cited by 5,123
The path towards sustainable energy
Chu, S., Cui, Y., & Liu, N. (2017) · Nature Materials · doi:10.1038/nmat4834 · Cited by 4,791
Seven chemical separations to change the world
Sholl, D. S., & Lively, R. P. (2016) · Nature · doi:10.1038/532435a · Cited by 4,769
Cyclic polyethers and their complexes with metal salts
Pedersen, C. J. (1967) · Journal of the American Chemical Society · doi:10.1021/ja01002a035 · Cited by 4,221
Thermodynamics of mixed‐gas adsorption
Myers, A. L., & Prausnitz, J. M. (1965) · AIChE Journal · doi:10.1002/aic.690110125 · Cited by 3,775
Introduction to infrared and Raman spectroscopy
Jayasooriya, U. A. (1991) · Spectrochimica Acta Part A: Molecular Spectroscopy · doi:10.1016/0584-8539(91)80026-f · Cited by 2,978
Metadata
- Authors
- Ye, Y., Xian, S., Cui, H., Tan, K., Gong, L., Liang, B., Pham, T., Pandey, H., Krishna, R., Lan, P. C., Forrest, K. A., Space, B., Thonhauser, T., Li, J., & Ma, S.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-12-29
- Volume
- 144
- Issue
- 4
- Pages
- 1681-1689
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W4200219264
- Cited by
- 359
- References
- 77
- FWCI
- 18.43
- Type
- journal article
- Language
- en
- Open access
- green
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: Metal–Organic Framework Based Hydrogen-Bonding Nanotrap for Efficient Acetylene Storage and Separation. https://app.cochat.ai/papers/10.1021/jacs.1c10620
- The paper
- Ye, Y., Xian, S., Cui, H., Tan, K., Gong, L., Liang, B., Pham, T., Pandey, H., Krishna, R., Lan, P. C., Forrest, K. A., Space, B., Thonhauser, T., Li, J., & Ma, S. (2022). Metal–Organic Framework Based Hydrogen-Bonding Nanotrap for Efficient Acetylene Storage and Separation. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.1c10620
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.