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Surface-Enhanced Raman Spectroscopy: Current Understanding, Challenges, and Opportunities
Abstract
While surface-enhanced Raman spectroscopy (SERS) has experienced substantial advancements since its discovery in the 1970s, it is an opportunity to celebrate achievements, consider ongoing endeavors, and anticipate the future trajectory of SERS. In this perspective, we encapsulate the latest breakthroughs in comprehending the electromagnetic enhancement mechanisms of SERS, and revisit CT mechanisms of semiconductors. We then summarize the strategies to improve sensitivity, selectivity, and reliability. After addressing experimental advancements, we comprehensively survey the progress on spectrum-structure correlation of SERS showcasing their important role in promoting SERS development. Finally, we anticipate forthcoming directions and opportunities, especially in deepening our insights into chemical or biological processes and establishing a clear spectrum-structure correlation.
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Cited by
Multiplex Cellular Microenvironment Detection Based on Surface-Enhanced Raman Scattering Patch
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Metadata
- Authors
- Ma, H., Pan, S.-Q., Wang, W.-L., Yue, X., Xi, X.-H., Yan, S., Wu, D.-Y., Wang, X., Liu, G., & Ren, B.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2024-05-20
- Volume
- 18
- Issue
- 22
- Pages
- 14000-14019
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W4398140309
- Cited by
- 346
- References
- 159
- FWCI
- 26.72
- 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.
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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.