The DOI matches its Crossref record.
Tip-enhanced Raman scattering
Abstract
Tip-enhanced Raman scattering (TERS) is a technique that provides molecular information on the nanometre scale. Using a nanometre-sized metal particle results in a strong signal enhancement and a lateral resolution similar to the dimensions of the particle. As TERS is in a way the ultimate SERS experiment, the theoretical background will be briefly discussed with respect to the unique features and the specific effects that occur when only a single nanoparticle is used as a probe. All the major parts of the instrument will be revealed and the specific advantages of the different instrumental set ups will be investigated with respect to the particular requirements of the sample. Selected examples ranging from material science to cell biological applications demonstrate the capabilities and the potential of TERS in this tutorial review.
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
Raman Techniques: Fundamentals and Frontiers
Jones, R. R., Hooper, D. C., Zhang, L., Wolverson, D., & Valev, V. K. (2019) · Nanoscale Research Letters · doi:10.1186/s11671-019-3039-2 · Cited by 804
Tip-Enhanced Raman Spectroscopy: Technique and Recent Advances
Verma, P. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00821 · Cited by 448
Guerrini, L., & Graham, D. (2012) · Chemical Society Reviews · doi:10.1039/c2cs35118h · Cited by 441
Surface-enhanced Raman spectroscopy: a half-century historical perspective
Yi, J., You, E.-M., Hu, R., Wu, D.-Y., Liu, G.-K., Yang, Z.-L., Zhang, H., Gu, Y., Wang, Y.-H., Wang, X., et al. (2025) · Chemical Society Reviews · doi:10.1039/d4cs00883a · Cited by 382
Self-citationCritical Knowledge Gaps in Mass Transport through Single-Digit Nanopores: A Review and Perspective
Faucher, S., Aluru, N., Bazant, M. Z., Blankschtein, D., Brozena, A. H., Cumings, J., Pedro de Souza, J., Elimelech, M., Epsztein, R., Fourkas, J. T., et al. (2019) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.9b02178 · Cited by 365
Metadata
- Authors
- Bailo, E., & Deckert, V.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2008
- Volume
- 37
- Issue
- 5
- Pages
- 921
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2102531128
- Cited by
- 424
- References
- 0
- FWCI
- 0.74
- 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: Tip-enhanced Raman scattering. https://app.cochat.ai/papers/10.1039/b705967c
- The paper
- Bailo, E., & Deckert, V. (2008). Tip-enhanced Raman scattering. Chemical Society Reviews. https://doi.org/10.1039/b705967c
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.
