The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Nucleic Acid–Metal Organic Framework (MOF) Nanoparticle Conjugates
Abstract
Nanoparticles of a metal-organic framework (MOF), UiO-66-N3 (Zr6O4OH4(C8H3O4-N3)6), were synthesized. The surface of the MOF was covalently functionalized with oligonucleotides, utilizing a strain promoted click reaction between DNA appended with dibenzylcyclooctyne and azide-functionalized UiO-66-N3 to create the first MOF nanoparticle-nucleic acid conjugates. The structure of the framework was preserved throughout the chemical transformation, and the surface coverage of DNA was quantified. Due to the small pore sizes, the particles are only modified on their surfaces. When dispersed in aqueous NaCl, they exhibit increased stability and enhanced cellular uptake when compared with unfunctionalized MOF particles of comparable size.
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
He, C., Lu, K., Liu, D., & Lin, W. (2014) · Journal of the American Chemical Society · doi:10.1021/ja4098862 · Cited by 885
Cited by
Metal–Organic Frameworks for Drug Delivery: A Design Perspective
Lawson, H. D., Walton, S. P., & Chan, C. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c01089 · Cited by 916
Park, J., Jiang, Q., Feng, D., Mao, L., & Zhou, H.-C. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b00007 · Cited by 915
Metal–organic frameworks for membrane-based separations
Denny, M. S., Moreton, J. C., Benz, L., & Cohen, S. M. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.78 · Cited by 820
Application of zirconium MOFs in drug delivery and biomedicine
Abánades Lázaro, I., & Forgan, R. S. (2019) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2018.09.009 · Cited by 678
Metal–Organic Frameworks for Food Safety
Wang, P.-L., Xie, L.-H., Joseph, E. A., Li, J.-R., Su, X.-O., & Zhou, H.-C. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00257 · Cited by 533
Metadata
- Authors
- Morris, W., Briley, W. E., Auyeung, E., Cabezas, M. D., & Mirkin, C. A.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-05-12
- Volume
- 136
- Issue
- 20
- Pages
- 7261-7264
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2091385634
- Cited by
- 478
- References
- 1
- FWCI
- 15.10
- 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.
