The DOI matches its Crossref record.
Electromigrated Nanoscale Gaps for Surface-Enhanced Raman Spectroscopy
Open accessAbstract
Single-molecule detection with chemical specificity is a powerful and much desired tool for biology, chemistry, physics, and sensing technologies. Surface-enhanced spectroscopies enable single-molecule studies, yet reliable substrates of adequate sensitivity are in short supply. We present a simple, scaleable substrate for surface-enhanced Raman spectroscopy (SERS) incorporating nanometer-scale electromigrated gaps between extended electrodes. Molecules in the nanogap active regions exhibit hallmarks of very high Raman sensitivity, including blinking and spectral diffusion. Electrodynamic simulations show plasmonic focusing, giving electromagnetic enhancements approaching those needed for single-molecule SERS.
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
Single molecule analysis by surfaced-enhanced Raman scattering
Pieczonka, N. P. W., & Aroca, R. F. (2008) · Chemical Society Reviews · doi:10.1039/b709739p · Cited by 451
Chen, X., Park, H.-R., Pelton, M., Piao, X., Lindquist, N. C., Im, H., Kim, Y. J., Ahn, J. S., Ahn, K. J., Park, N., et al. (2013) · Nature Communications · doi:10.1038/ncomms3361 · Cited by 346
Charge Transfer Enhancement in the SERS of a Single Molecule
Park, W.-H., & Kim, Z. H. (2010) · Nano Letters · doi:10.1021/nl102026p · Cited by 342
Yoo, D., Gurunatha, K. L., Choi, H.-K., Mohr, D. A., Ertsgaard, C. T., Gordon, R., & Oh, S.-H. (2018) · Nano Letters · doi:10.1021/acs.nanolett.8b00732 · Cited by 173
Metadata
- Authors
- Ward, D. R., Grady, N. K., Levin, C. S., Halas, N. J., Wu, Y., Nordlander, P., & Natelson, D.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-04-13
- Volume
- 7
- Issue
- 5
- Pages
- 1396-1400
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W1980501859
- Cited by
- 314
- References
- 0
- FWCI
- 10.62
- 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: Electromigrated Nanoscale Gaps for Surface-Enhanced Raman Spectroscopy. https://app.cochat.ai/papers/10.1021/nl070625w
- The paper
- Ward, D. R., Grady, N. K., Levin, C. S., Halas, N. J., Wu, Y., Nordlander, P., & Natelson, D. (2007). Electromigrated Nanoscale Gaps for Surface-Enhanced Raman Spectroscopy. Nano Letters. https://doi.org/10.1021/nl070625w
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.
