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Nanoporous Metals: From Plasmonic Properties to Applications in Enhanced Spectroscopy and Photocatalysis
Open accessAbstract
The field of plasmonics is capable of enabling interesting applications in different wavelength ranges, spanning from the ultraviolet up to the infrared. The choice of plasmonic material and how the material is nanostructured has significant implications for ultimate performance of any plasmonic device. Artificially designed nanoporous metals (NPMs) have interesting material properties including large specific surface area, distinctive optical properties, high electrical conductivity, and reduced stiffness, implying their potentials for many applications. This paper reviews the wide range of available nanoporous metals (such as Au, Ag, Cu, Al, Mg, and Pt), mainly focusing on their properties as plasmonic materials. While extensive reports on the use and characterization of NPMs exist, a detailed discussion on their connection with surface plasmons and enhanced spectroscopies as well as photocatalysis is missing. Here, we report on different metals investigated, from the most used nanoporous gold to mixed metal compounds, and discuss each of these plasmonic materials' suitability for a range of structural design and applications. Finally, we discuss the potentials and limitations of the traditional and alternative plasmonic materials for applications in enhanced spectroscopy and photocatalysis.
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3D Nanoporous Antennas for high sensitivity IR plasmonic sensingPreprint
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Self-citation
Cited by
Wang, Z., Wang, P., Zhang, H., Deng, K., Yu, H., Xu, Y., Li, X., Wang, H., & Wang, L. (2023) · Journal of Materials Chemistry A · doi:10.1039/d2ta09621h · Cited by 22
Metadata
- Authors
- Koya, A. N., Zhu, X., Ohannesian, N., Yanik, A. A., Alabastri, A., Proietti Zaccaria, R., Krahne, R., Shih, W.-C., & Garoli, D.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-04-02
- Volume
- 15
- Issue
- 4
- Pages
- 6038-6060
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W3152233762
- Cited by
- 257
- References
- 144
- FWCI
- 12.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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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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.
