The DOI matches its Crossref record.
Quantum-Dot/Aptamer-Based Ultrasensitive Multi-Analyte Electrochemical Biosensor
Abstract
The coupling of aptamers with the coding and amplification features of inorganic nanocrystals is shown for the first time to offer a highly sensitive and selective simultaneous bioelectronic detection of several protein targets. This is accomplished in a single-step displacement assay in connection to a self-assembled monolayer of several thiolated aptamers conjugated to proteins carrying different inorganic nanocrystals. Electrochemical stripping detection of the nondisplaced nanocrystal tracers results in a remarkably low (attomole) detection limit, that is, significantly lower than those of existing aptamer biosensors. The new device offers great promise for measuring a large panel of disease markers present at ultralow levels during early stages of the disease progress.
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
Electronic Aptamer‐Based Sensors
Willner, I., & Zayats, M. (2007) · Angewandte Chemie International Edition · doi:10.1002/anie.200604524 · Cited by 818
Applications of Aptamers as Sensors
Cho, E. J., Lee, J.-W., & Ellington, A. D. (2009) · Annual Review of Analytical Chemistry · doi:10.1146/annurev.anchem.1.031207.112851 · Cited by 788
Wongkaew, N., Simsek, M., Griesche, C., & Baeumner, A. J. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00172 · Cited by 657
Wang, F., Lu, C.-H., & Willner, I. (2014) · Chemical Reviews · doi:10.1021/cr400354z · Cited by 649
The Chemical Biology of Aptamers
Mayer, G. (2009) · Angewandte Chemie International Edition · doi:10.1002/anie.200804643 · Cited by 592
Metadata
- Authors
- Hansen, J. A., Wang, J., Kawde, A.-N., Xiang, Y., Gothelf, K. V., & Collins, G.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-01-26
- Volume
- 128
- Issue
- 7
- Pages
- 2228-2229
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W1975860847
- Cited by
- 538
- References
- 0
- FWCI
- 16.70
- 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: Quantum-Dot/Aptamer-Based Ultrasensitive Multi-Analyte Electrochemical Biosensor. https://app.cochat.ai/papers/10.1021/ja060005h
- The paper
- Hansen, J. A., Wang, J., Kawde, A.-N., Xiang, Y., Gothelf, K. V., & Collins, G. (2006). Quantum-Dot/Aptamer-Based Ultrasensitive Multi-Analyte Electrochemical Biosensor. Journal of the American Chemical Society. https://doi.org/10.1021/ja060005h
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.