The DOI matches its Crossref record.
Carbon Nanofiber-Based Glucose Biosensor
Abstract
The use of highly activated carbon nanofibers for the design of catalytic electrochemical biosensors is demonstrated. The direct immobilization of enzymes onto the surface of carbon nanofibers is shown to be a highly efficient method for the development of a new class of very sensitive, stable, and reproducible electrochemical biosensors. These results establish the fact that the carbon nanofiber is the best matrix so far described for the development of biosensors, far superior to carbon nanotubes or graphite powder.
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
Cited by
Green Chemistry: Principles and Practice
Anastas, P., & Eghbali, N. (2010) · Chem. Soc. Rev. · doi:10.1039/b918763b · Cited by 5,256
Direct Electrochemistry of Glucose Oxidase and Biosensing for Glucose Based on Graphene
Shan, C., Yang, H., Song, J., Han, D., Ivaska, A., & Niu, L. (2009) · Analytical Chemistry · doi:10.1021/ac802193c · Cited by 1,315
Graphene-based nanomaterials and their electrochemistry
Pumera, M. (2010) · Chemical Society Reviews · doi:10.1039/c002690p · Cited by 1,117
Guo, S., Wen, D., Zhai, Y., Dong, S., & Wang, E. (2010) · ACS Nano · doi:10.1021/nn100852h · Cited by 752
Functionalized carbon nanotubes and nanofibers for biosensing applications
Wang, J., & Lin, Y. (2008) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2008.05.009 · Cited by 289
Metadata
- Authors
- Vamvakaki, V., Tsagaraki, K., & Chaniotakis, N.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-06-27
- Volume
- 78
- Issue
- 15
- Pages
- 5538-5542
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W1976070804
- Cited by
- 299
- References
- 0
- FWCI
- 18.56
- 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: Carbon Nanofiber-Based Glucose Biosensor. https://app.cochat.ai/papers/10.1021/ac060551t
- The paper
- Vamvakaki, V., Tsagaraki, K., & Chaniotakis, N. (2006). Carbon Nanofiber-Based Glucose Biosensor. Analytical Chemistry. https://doi.org/10.1021/ac060551t
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.
