The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Attachment of Magnetic Nanoparticles on Carbon Nanotubes and Their Soluble Derivatives
Abstract
The magnetic modification of carbon nanotubes is described here. Pyrene can be noncovalently attached on the carbon nanotube surface. A carboxylic derivative of pyrene is used as interlinker for the binding of capped magnetic nanoparticles on the carbon nanotubes. The increased organophilic character of the capped nanoparticles induces high solubility in organic media for the modified carbon nanotubes.
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
Noncovalent sidewall functionalization of single-walled carbon nanotubes for protein immobilization
Chen, R. J., Zhang, Y., Wang, D., & Dai, H. (2001) · Journal of the American Chemical Society · doi:10.1021/ja010172b · Cited by 2,534
Enzyme-coated carbon nanotubes as single-molecule biosensors
Besteman, K., Lee, J.-O., Wiertz, F. G. M., Heering, H. A., & Dekker, C. (2003) · Nano Letters · doi:10.1021/nl034139u · Cited by 1,294
Cited by
Georgakilas, V., Perman, J. A., Tucek, J., & Zboril, R. (2015) · Chemical Reviews · doi:10.1021/cr500304f · Cited by 2,147
Self-citationCarbon Nanotube−Inorganic Hybrids
Eder, D. (2010) · Chemical Reviews · doi:10.1021/cr800433k · Cited by 819
The attachment of Fe3O4 nanoparticles to graphene oxide by covalent bonding
He, F., Fan, J., Ma, D., Zhang, L., Leung, C., & Chan, H. L. (2010) · Carbon · doi:10.1016/j.carbon.2010.04.052 · Cited by 462
Magnetic solid-phase extraction using carbon nanotubes as sorbents: a review
Herrero-Latorre, C., Barciela-García, J., García-Martín, S., Peña-Crecente, R. M., & Otárola-Jiménez, J. (2015) · Analytica Chimica Acta · doi:10.1016/j.aca.2015.07.046 · Cited by 344
Magnetic (nano)materials as an useful tool for sample preparation in analytical methods. A review
Ríos, A., Zougagh, M., & Bouri, M. (2013) · Analytical Methods · doi:10.1039/c3ay40306h · Cited by 108
Aghaei, A., Shaterian, M., Danafar, H., Likozar, B., Šuligoj, A., & Gyergyek, S. (2023) · Microchimica Acta · doi:10.1007/s00604-023-05761-8 · Cited by 7
Metadata
- Authors
- Georgakilas, V., Tzitzios, V., Gournis, D., & Petridis, D.
- Venue
- Chemistry of Materials
- Publisher
- American Chemical Society (ACS)
- Published
- 2005-03-09
- Volume
- 17
- Issue
- 7
- Pages
- 1613-1617
- ISSN
- 0897-4756 (ISSN-L)
- 1520-5002
- OpenAlex
- W2093552593
- Cited by
- 235
- References
- 2
- FWCI
- 8.87
- 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.
