The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Three-Dimensional Large-Pore Covalent Organic Framework with stp Topology
Open accessAbstract
Three-dimensional (3D) covalent organic frameworks (COFs) are excellent crystalline porous polymers for numerous potential applications, but their building units and topological nets have been limited. Herein we report the design and synthesis of the first 3D large-pore COF with the stp topology constructed from a 6-connected triptycene-based monomer. The new COF (termed JUC-564) has a high specific surface area (up to 3300 m 2 g –1 ), the largest pore size among 3D COFs (43 Å), and record-breaking low density among crystalline materials reported to date (0.108 g cm –3 ). The large pore size of JUC-564 was confirmed by the incorporation of a protein. This study expands the structural varieties of 3D COFs based on the deliberate symmetry-guided design principle as well as their applications for adsorption and separation of large biological molecules.
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
Tailored crystalline microporous materials by post-synthesis modification
Valtchev, V., Majano, G., Mintova, S., & Pérez-Ramírez, J. (2013) · Chem. Soc. Rev. · doi:10.1039/c2cs35196j · Cited by 478
Self-citation
Cited by
Jin, F., Lin, E., Wang, T., Geng, S., Wang, T., Liu, W., Xiong, F., Wang, Z., Chen, Y., Cheng, P., et al. (2022) · Journal of the American Chemical Society · doi:10.1021/jacs.2c01058 · Cited by 281
Liu, S., Wang, M., He, Y., Cheng, Q., Qian, T., & Yan, C. (2023) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2022.214882 · Cited by 236
Metadata
- Authors
- Li, H., Ding, J., Guan, X., Chen, F., Li, C., Zhu, L., Xue, M., Yuan, D., Valtchev, V., Yan, Y., Qiu, S., & Fang, Q.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-07-17
- Volume
- 142
- Issue
- 31
- Pages
- 13334-13338
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W3043558552
- Cited by
- 237
- References
- 1
- FWCI
- 12.87
- 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
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.