The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Biomolecule-Based Nanomaterials and Nanostructures
Abstract
Biomolecule-nanoparticle (or carbon nanotube) hybrid systems provide new materials that combine the unique optical, electronic, or catalytic properties of the nanoelements with the recognition or biocatalytic functions of biomolecules. This article summarizes recent applications of biomolecule-nanoparticle (or carbon nanotubes) hybrid systems for sensing, synthesis of nanostructures, and for the fabrication of nanoscale devices. The use of metallic nanoparticles for the electrical contacting of redox enzymes with electrodes, and as catalytic labels for the development of electrochemical biosensors is discussed. Similarly, biomolecule-quantum dot hybrid systems are implemented for optical biosensing, and for monitoring intracellular metabolic processes. Also, the self-assembly of biomolecule-metal nanoparticle hybrids into nanostructures and functional nanodevices is presented. The future perspectives of the field are addressed by discussing future challenges and highlighting different potential applications.
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
Design and self-assembly of two-dimensional DNA crystals
Winfree, E., Liu, F., Wenzler, L. A., & Seeman, N. C. (1998) · Nature · doi:10.1038/28998 · Cited by 2,857
A survey of telomerase activity in human cancer
Shay, J. W., & Bacchetti, S. (1997) · European Journal of Cancer · doi:10.1016/s0959-8049(97)00062-2 · Cited by 2,794
Cited by
Sapsford, K. E., Tyner, K. M., Dair, B. J., Deschamps, J. R., & Medintz, I. L. (2011) · Analytical Chemistry · doi:10.1021/ac200853a · Cited by 538
Metadata
- Authors
- Willner, I., & Willner, B.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-09-15
- Volume
- 10
- Issue
- 10
- Pages
- 3805-3815
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W1970136400
- Cited by
- 290
- References
- 2
- FWCI
- 27.66
- 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.