The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Single-Walled Carbon Nanotube Biosensors Using Aptamers as Molecular Recognition Elements
Abstract
We report the real-time detection of protein using SWNT-FET-based biosensors comprising DNA aptamers as molecular recognition elements. Anti-thrombin aptamers that are highly specific to serine protein thrombin were immobilized on the sidewall of a SWNT-FET using CDI-Tween linking molecules. The binding of thrombin aptamers to SWNT-FETs causes a rightward shift of the threshold gate voltages, presumably due to the negatively charged backbone of the DNA aptamers. While the addition of thrombin solution causes an abrupt decrease in the conductance of the thrombin aptamer immobilized SWNT-FET, no noticeable change was observed with elastase.
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
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
Self-citation
Cited by
Intracellular Delivery by Membrane Disruption: Mechanisms, Strategies, and Concepts
Stewart, M. P., Langer, R., & Jensen, K. F. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00678 · Cited by 747
Kuang, Z., Kim, S. N., Crookes-Goodson, W. J., Farmer, B. L., & Naik, R. R. (2010) · ACS Nano · doi:10.1021/nn901365g · Cited by 184
In-Vivo Electrochemistry: What Can We Learn about Living Systems?
Wilson, G. S., & Johnson, M. A. (2008) · Chemical Reviews · doi:10.1021/cr068082i · Cited by 178
Metadata
- Authors
- So, H.-M., Won, K., Kim, Y. H., Kim, B.-K., Ryu, B. H., Na, P. S., Kim, H., & Lee, J.-O.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2005-08-01
- Volume
- 127
- Issue
- 34
- Pages
- 11906-11907
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2018648960
- Cited by
- 579
- References
- 1
- FWCI
- 10.49
- 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: Single-Walled Carbon Nanotube Biosensors Using Aptamers as Molecular Recognition Elements. https://app.cochat.ai/papers/10.1021/ja053094r
- The paper
- So, H.-M., Won, K., Kim, Y. H., Kim, B.-K., Ryu, B. H., Na, P. S., Kim, H., & Lee, J.-O. (2005). Single-Walled Carbon Nanotube Biosensors Using Aptamers as Molecular Recognition Elements. Journal of the American Chemical Society. https://doi.org/10.1021/ja053094r
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.