The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Designer Metal–Organic Frameworks for Size‐Exclusion‐Based Hydrocarbon Separations: Progress and Challenges
Abstract
The separation of hydrocarbons is of primary importance in the petrochemical industry but remains a challenging process. Hydrocarbon separations have traditionally relied predominantly on costly and energy‐intensive heat‐driven procedures such as low‐temperature distillations. Adsorptive separation based on porous solids represents an alternative technology that is potentially more energy efficient for the separation of some hydrocarbons. Great efforts have been made recently not only in the development of adsorbents with optimal separation performance but also toward the subsequent implementation of adsorption‐based separation technology. Emerging as a relatively new class of multifunctional porous materials, metal–organic frameworks (MOFs) hold substantial promise as adsorbents for highly efficient separation of hydrocarbons. This is because of their exceptional and intrinsic porosity tunability, which enables size‐exclusion‐based separations that render the highest possible separation selectivity. In this review, recent advances in the development of MOFs for separation of selected groups of hydrocarbons are reviewed, including methane/C 2 hydrocarbons, normal alkanes, alkane isomers, and alkane/alkene/alkyne and C 8 alkylaromatics, with a particular focus on separations based on the size‐exclusion mechanism. Insights into tailor‐made structures, material design strategies, and structure–property relationships will be elucidated. In addition, the existing challenges and possible future directions of this important research field will be discussed.
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
Large-Scale Computational Screening of Zeolites for Ethane/Ethene Separation
Kim, J., Lin, L.-C., Martin, R. L., Swisher, J. A., Haranczyk, M., & Smit, B. (2012) · Langmuir · doi:10.1021/la302230z · Cited by 104
Yang, Y., Burke, N., Ali, S., Huang, S., Lim, S., & Zhu, Y. (2017) · RSC Advances · doi:10.1039/c6ra25509d · Cited by 36
Cited by
MOF-on-MOF hybrids: Synthesis and applications
Liu, C., Wang, J., Wan, J., & Yu, C. (2021) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2020.213743 · Cited by 621
Ye, Y., Xian, S., Cui, H., Tan, K., Gong, L., Liang, B., Pham, T., Pandey, H., Krishna, R., Lan, P. C., et al. (2022) · Journal of the American Chemical Society · doi:10.1021/jacs.1c10620 · Cited by 359
Self-citationFelix Sahayaraj, A., Joy Prabu, H., Maniraj, J., Kannan, M., Bharathi, M., Diwahar, P., & Salamon, J. (2023) · Journal of Inorganic and Organometallic Polymers and Materials · doi:10.1007/s10904-023-02657-1 · Cited by 267
Metadata
- Authors
- Wang, H., Liu, Y., & Li, J.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2020-07-09
- Volume
- 32
- Issue
- 44
- Pages
- e2002603-e2002603
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3041089874
- Cited by
- 321
- References
- 3
- FWCI
- 28.02
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Designer Metal–Organic Frameworks for Size‐Exclusion‐Based Hydrocarbon Separations: Progress and Challenges. https://app.cochat.ai/papers/10.1002/adma.202002603
- The paper
- Wang, H., Liu, Y., & Li, J. (2020). Designer Metal–Organic Frameworks for Size‐Exclusion‐Based Hydrocarbon Separations: Progress and Challenges. Advanced Materials. https://doi.org/10.1002/adma.202002603
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.