Copper‐Based Multiwavelength UV Surface Enhanced Raman Spectroscopy

Abstract Herein, it is demonstrated that copper (Cu) nanoparticle‐based surfaces prepared via a wet‐chemical method exhibit considerable enhancement of the Raman signal for a monolayer of adenine, guanine, riboflavin, 4‐mercaptobenzoic acid, and potassium thiocyanate analytes upon excitation with a laser in the wavelength range of 229–325 nm. The results reveal a notable enhancement of the Raman signal in the surface‐enhanced Raman scattering (SERS) spectra of the analytes in the deep UV(ultraviolet) spectral ranges, a phenomenon previously unreported for Cu‐based surfaces, which, according to current knowledge, typically exhibit enhancement only in the red and near‐infrared spectral regions. Several analytes of different chemical natures are tested, which allow to test the hypothesis that π‐conjugated molecules localized on the copper surface are more likely to contribute to the chemical enhancement of Raman signal. This enhancement arises from their capacity for charge delocalization, effective orbital alignment with the metal and resonance with electronic transitions in the UV spectral region. Based on these findings, the chemical enhancement mechanism related to charge transfer is the most plausible explanation for the observed enhancement in the UV‐SERS signals of the investigated molecules on Cu surfaces.

Authors

Institutions

Publication Details

Journal
Advanced Optical Materials
Published
2025-04-12
DOI
https://doi.org/10.1002/adom.202500078
Citations
3
Primary Topic
Gold and Silver Nanoparticles Synthesis and Applications
Type
article
Field-Weighted Citation Impact
1.28

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Copper‐Based Multiwavelength UV Surface Enhanced Raman Spectroscopy

Gediminas Niaura, Shivani Yadav, Martynas Talaikis, Tanja Deckert‐Gaudig et al.
3 citations
Advanced Optical Materials
Gold and Silver Nanoparticles Synthesis and Applications
1.28
article

Copper‐Based Multiwavelength UV Surface Enhanced Raman Spectroscopy

Gediminas Niaura, Shivani Yadav, Martynas Talaikis, Tanja Deckert‐Gaudig, Владимир Сиваков, Mario Ziegler, Yury V. Ryabchikov
article en
3 citations

Abstract

Abstract Herein, it is demonstrated that copper (Cu) nanoparticle‐based surfaces prepared via a wet‐chemical method exhibit considerable enhancement of the Raman signal for a monolayer of adenine, guanine, riboflavin, 4‐mercaptobenzoic acid, and potassium thiocyanate analytes upon excitation with a laser in the wavelength range of 229–325 nm. The results reveal a notable enhancement of the Raman signal in the surface‐enhanced Raman scattering (SERS) spectra of the analytes in the deep UV(ultraviolet) spectral ranges, a phenomenon previously unreported for Cu‐based surfaces, which, according to current knowledge, typically exhibit enhancement only in the red and near‐infrared spectral regions. Several analytes of different chemical natures are tested, which allow to test the hypothesis that π‐conjugated molecules localized on the copper surface are more likely to contribute to the chemical enhancement of Raman signal. This enhancement arises from their capacity for charge delocalization, effective orbital alignment with the metal and resonance with electronic transitions in the UV spectral region. Based on these findings, the chemical enhancement mechanism related to charge transfer is the most plausible explanation for the observed enhancement in the UV‐SERS signals of the investigated molecules on Cu surfaces.

Advanced Optical MaterialsVol. 13(18)
Helmholtz Institute Jena (DE), Leibniz Institute of Photonic Technology (DE), Center for Physical Sciences and Technology (LT), FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic (CZ), Friedrich Schiller University Jena (DE)
Deutsche Forschungsgemeinschaft, Lietuvos Mokslo Taryba
Openalex Percentile: Top 21%
Gold and Silver Nanoparticles Synthesis and Applications
1.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.