The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Poly‐cytosine DNA as a High‐Affinity Ligand for Inorganic Nanomaterials
Abstract
Attaching DNA to nanomaterials is the basis for DNA‐directed assembly, sensing, and drug delivery using such hybrid materials. Poly‐cytosine (poly‐C) DNA is a high affinity ligand for four types of commonly used nanomaterials, including nanocarbons (graphene oxide and single‐walled carbon nanotubes), transition metal dichalcogenides (MoS 2 and WS 2), metal oxides (Fe 3 O 4 and ZnO), and metal nanoparticles (Au and Ag). Compared to other homo‐DNA sequences, poly‐C DNA has the highest affinity for the first three types of materials. Using a diblock DNA containing a poly‐C block to attach to surfaces, the target DNA was successfully hybridized to the other block on graphene oxide more efficiently than that containing a typical poly‐A block, especially in the presence of non‐specific background DNA, proteins, or surfactants. This work provides a simple solution for functionalizing nanomaterials with non‐modified DNA and offers new insights into DNA biointerfaces.
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
Nanostructures in Biodiagnostics
Rosi, N. L., & Mirkin, C. A. (2005) · Chemical Reviews · doi:10.1021/cr030067f · Cited by 4,603
Cited by
DNA Functional Materials Assembled from Branched DNA: Design, Synthesis, and Applications
Dong, Y., Yao, C., Zhu, Y., Yang, L., Luo, D., & Yang, D. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00294 · Cited by 533
Hu, M., Yuan, C., Tian, T., Wang, X., Sun, J., Xiong, E., & Zhou, X. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.0c00217 · Cited by 267
Metadata
- Authors
- Lu, C., Huang, Z., Liu, B., Liu, Y., Ying, Y., & Liu, J.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2017-04-21
- Volume
- 56
- Issue
- 22
- Pages
- 6208-6212
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2605687434
- Cited by
- 159
- References
- 1
- FWCI
- 7.57
- 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: Poly‐cytosine DNA as a High‐Affinity Ligand for Inorganic Nanomaterials. https://app.cochat.ai/papers/10.1002/anie.201702998
- The paper
- Lu, C., Huang, Z., Liu, B., Liu, Y., Ying, Y., & Liu, J. (2017). Poly‐cytosine DNA as a High‐Affinity Ligand for Inorganic Nanomaterials. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201702998
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.
