The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Plasmonic nanomaterials for biodiagnostics
Open accessAbstract
The application of nanomaterials to detect disease biomarkers is giving rise to ultrasensitive assays, with scientists exploiting the many advantageous physical and chemical properties of nanomaterials. The fundamental basis of such work is to link unique phenomena that arise at the nanoscale to the presence of a specific analyte biomolecule, and to modulate the intensity of such phenomena in a ratiometric fashion, in direct proportion with analyte concentration. Precise engineering of nanomaterial surfaces is of utmost importance here, as the interface between the material and the biological environment is where the key interactions occur. In this tutorial review, we discuss the use of plasmonic nanomaterials in the development of biodiagnostic tools for the detection of a large variety of biomolecular analytes, and how their plasmonic properties give rise to tunable optical characteristics and surface enhanced Raman signals. We put particular focus on studies that have explored the efficacy of the systems using physiological samples in an effort to highlight the clinical potential of such assays.
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
Surface raman spectroelectrochemistry
Jeanmaire, D. L., & Van Duyne, R. P. (1977) · Journal of Electroanalytical Chemistry and Interfacial Electrochemistry · doi:10.1016/s0022-0728(77)80224-6 · Cited by 4,738
In vivo tumor targeting and spectroscopic detection with surface-enhanced Raman nanoparticle tags
Qian, X., Peng, X.-H., Ansari, D. O., Yin-Goen, Q., Chen, G. Z., Shin, D. M., Yang, L., Young, A. N., Wang, M. D., & Nie, S. (2008) · Nature Biotechnology · doi:10.1038/nbt1377 · Cited by 2,201
Toward a Glucose Biosensor Based on Surface-Enhanced Raman Scattering
Shafer-Peltier, K. E., Haynes, C. L., Glucksberg, M. R., & Van Duyne, R. P. (2003) · Journal of the American Chemical Society · doi:10.1021/ja028255v · Cited by 653
Surface enhanced spatially offset Raman spectroscopic (SESORS) imaging – the next dimension
Stone, N., Kerssens, M., Lloyd, G. R., Faulds, K., Graham, D., & Matousek, P. (2011) · Chemical Science · doi:10.1039/c0sc00570c · Cited by 183
Cited by
Reactive oxygen species generating systems meeting challenges of photodynamic cancer therapy
Zhou, Z., Song, J., Nie, L., & Chen, X. (2016) · Chemical Society Reviews · doi:10.1039/c6cs00271d · Cited by 2,098
Seeman, N. C., & Sleiman, H. F. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.68 · Cited by 1,875
Biosensing with Fluorescent Carbon Nanotubes
Ackermann, J., Metternich, J. T., Herbertz, S., & Kruss, S. (2022) · Angewandte Chemie International Edition · doi:10.1002/anie.202112372 · Cited by 280
Conklin, B., Conley, B. M., Hou, Y., Chen, M., & Lee, K.-B. (2023) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2022.114636 · Cited by 45
Metadata
- Authors
- D. Howes, P., Rana, S., & M. Stevens, M.
- Venue
- Chem. Soc. Rev.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 43
- Issue
- 11
- Pages
- 3835-3853
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2089387633
- Cited by
- 302
- References
- 4
- FWCI
- 1.26
- Type
- journal article
- Language
- en
- Open access
- green
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: Plasmonic nanomaterials for biodiagnostics. https://app.cochat.ai/papers/10.1039/c3cs60346f
- The paper
- D. Howes, P., Rana, S., & M. Stevens, M. (2014). Plasmonic nanomaterials for biodiagnostics. Chem. Soc. Rev. https://doi.org/10.1039/c3cs60346f
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.