The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Label-Free Biosensors Based on Aptamer-Modified Graphene Field-Effect Transistors
Abstract
A label-free immunosensor based on an aptamer-modified graphene field-effect transistor (G-FET) is demonstrated. Immunoglobulin E (IgE) aptamers with an approximate height of 3 nm were successfully immobilized on a graphene surface, as confirmed by atomic force microscopy. The aptamer-modified G-FET showed selective electrical detection of IgE protein. From the dependence of the drain current variation on the IgE concentration, the dissociation constant was estimated to be 47 nM, indicating good affinity and the potential for G-FETs to be used in biological sensors.
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
Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
Cited by
Hammock, M. L., Chortos, A., Tee, B. C. ‐., Tok, J. B. ‐., & Bao, Z. (2013) · Advanced Materials · doi:10.1002/adma.201302240 · Cited by 2,396
MoS2 Field-Effect Transistor for Next-Generation Label-Free Biosensors
Sarkar, D., Liu, W., Xie, X., Anselmo, A. C., Mitragotri, S., & Banerjee, K. (2014) · ACS Nano · doi:10.1021/nn5009148 · Cited by 1,047
Pumera, M. (2011) · Materials Today · doi:10.1016/s1369-7021(11)70160-2 · Cited by 851
Graphene-based electronic sensors
He, Q., Wu, S., Yin, Z., & Zhang, H. (2012) · Chemical Science · doi:10.1039/c2sc20205k · Cited by 745
New Horizons for Diagnostics and Therapeutic Applications of Graphene and Graphene Oxide
Feng, L., Wu, L., & Qu, X. (2013) · Advanced Materials · doi:10.1002/adma.201203229 · Cited by 632
Metadata
- Authors
- Ohno, Y., Maehashi, K., & Matsumoto, K.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-12-03
- Volume
- 132
- Issue
- 51
- Pages
- 18012-18013
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2065599687
- Cited by
- 554
- References
- 1
- FWCI
- 12.52
- 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: Label-Free Biosensors Based on Aptamer-Modified Graphene Field-Effect Transistors. https://app.cochat.ai/papers/10.1021/ja108127r
- The paper
- Ohno, Y., Maehashi, K., & Matsumoto, K. (2010). Label-Free Biosensors Based on Aptamer-Modified Graphene Field-Effect Transistors. Journal of the American Chemical Society. https://doi.org/10.1021/ja108127r
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.