The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
An Ideal Molecular Sieve for Acetylene Removal from Ethylene with Record Selectivity and Productivity
Open accessAbstract
Realization of ideal molecular sieves, in which the larger gas molecules are completely blocked without sacrificing high adsorption capacities of the preferred smaller gas molecules, can significantly reduce energy costs for gas separation and purification and thus facilitate a possible technological transformation from the traditional energy‐intensive cryogenic distillation to the energy‐efficient, adsorbent‐based separation and purification in the future. Although extensive research endeavors are pursued to target ideal molecular sieves among diverse porous materials, over the past several decades, ideal molecular sieves for the separation and purification of light hydrocarbons are rarely realized. Herein, an ideal porous material, SIFSIX‐14‐Cu‐i (also termed as UTSA‐200), is reported with ultrafine tuning of pore size (3.4 Å) to effectively block ethylene (C 2 H 4) molecules but to take up a record‐high amount of acetylene (C 2 H 2, 58 cm 3 cm−3 under 0.01 bar and 298 K). The material therefore sets up new benchmarks for both the adsorption capacity and selectivity, and thus provides a record purification capacity for the removal of trace C 2 H 2 from C 2 H 4 with 1.18 mmol g−1 C 2 H 2 uptake capacity from a 1/99 C 2 H 2/C 2 H 4 mixture to produce 99.9999% pure C 2 H 4 (much higher than the acceptable purity of 99.996% for polymer‐grade C 2 H 4), as demonstrated by experimental breakthrough curves.
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
Seven chemical separations to change the world
Sholl, D. S., & Lively, R. P. (2016) · Nature · doi:10.1038/532435a · Cited by 4,769
Adsorbents: Fundamentals and Applications
Yang, R. T. (2003) · doi:10.1002/047144409x · Cited by 1,182
A titanosilicate molecular sieve with adjustable pores for size-selective adsorption of molecules
Kuznicki, S. M., Bell, V. A., Nair, S., Hillhouse, H. W., Jacubinas, R. M., Braunbarth, C. M., Toby, B. H., & Tsapatsis, M. (2001) · Nature · doi:10.1038/35089052 · Cited by 616
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
Porous metal-organic frameworks for gas storage and separation: Status and challenges
Li, H., Li, L., Lin, R.-B., Zhou, W., Zhang, Z., Xiang, S., & Chen, B. (2019) · EnergyChem · doi:10.1016/j.enchem.2019.100006 · Cited by 891
Self-citationYang, L., Qian, S., Wang, X., Cui, X., Chen, B., & Xing, H. (2020) · Chemical Society Reviews · doi:10.1039/c9cs00756c · Cited by 746
Self-citationOrthogonal-array dynamic molecular sieving of propylene/propane mixtures
Zeng, H., Xie, M., Wang, T., Wei, R.-J., Xie, X.-J., Zhao, Y., Lu, W., & Li, D. (2021) · Nature · doi:10.1038/s41586-021-03627-8 · Cited by 622
Robust Ultramicroporous Metal–Organic Frameworks with Benchmark Affinity for Acetylene
Peng, Y., Pham, T., Li, P., Wang, T., Chen, Y., Chen, K., Forrest, K. A., Space, B., Cheng, P., Zaworotko, M. J., et al. (2018) · Angewandte Chemie International Edition · doi:10.1002/anie.201806732 · Cited by 490
Self-citation
Metadata
- Authors
- Li, B., Cui, X., O'Nolan, D., Wen, H., Jiang, M., Krishna, R., Wu, H., Lin, R., Chen, Y., Yuan, D., Xing, H., Zhou, W., Ren, Q., Qian, G., Zaworotko, M. J., & Chen, B.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2017-11-10
- Volume
- 29
- Issue
- 47
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2768020335
- Cited by
- 410
- References
- 3
- FWCI
- 13.60
- 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: An Ideal Molecular Sieve for Acetylene Removal from Ethylene with Record Selectivity and Productivity. https://app.cochat.ai/papers/10.1002/adma.201704210
- The paper
- Li, B., Cui, X., O'Nolan, D., Wen, H., Jiang, M., Krishna, R., Wu, H., Lin, R., Chen, Y., Yuan, D., Xing, H., Zhou, W., Ren, Q., Qian, G., Zaworotko, M. J., & Chen, B. (2017). An Ideal Molecular Sieve for Acetylene Removal from Ethylene with Record Selectivity and Productivity. Advanced Materials. https://doi.org/10.1002/adma.201704210
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.