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Biosensing with plasmonic nanosensors

Anker, Jeffrey N., Hall, W. Paige, Lyandres, Olga, Shah, Nilam C., Zhao, Jing, Van Duyne, Richard P.·2008·Nature Materials
DOI 10.1038/nmat2162
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Cited by

See all 6,786

Metadata

Authors
Anker, J. N., Hall, W. P., Lyandres, O., Shah, N. C., Zhao, J., & Van Duyne, R. P.
Venue
Nature Materials
Publisher
Springer Science and Business Media LLC
Published
2008-06
Volume
7
Issue
6
Pages
442-453
ISSN
  • 1476-1122 (ISSN-L)
  • 1476-4660
DOI
10.1038/nmat2162
OpenAlex
W1973714168
Cited by
6,786
References
6
FWCI
97.88
Type
journal article
Language
en
Open access
closed
Licence

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 ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Biosensing with plasmonic nanosensors. https://app.cochat.ai/papers/10.1038/nmat2162
The paper
Anker, J. N., Hall, W. P., Lyandres, O., Shah, N. C., Zhao, J., & Van Duyne, R. P. (2008). Biosensing with plasmonic nanosensors. Nature Materials. https://doi.org/10.1038/nmat2162

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.