Silver oxide model surface improves computational simulation of surface-enhanced Raman spectroscopy on silver nanoparticles
Surface-enhanced Raman spectroscopy (SERS) coupled with density functional theory (DFT) computations can characterise the adsorption orientation of a molecule on a nanoparticle surface. When using DFT to simulate SERS on a silver surface, one typically employs an atom (Ag), ion (Ag + ), or cluster (...
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Veröffentlicht in: | Physical chemistry chemical physics : PCCP 2021-07, Vol.23 (29), p.1548-15484 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Surface-enhanced Raman spectroscopy (SERS) coupled with density functional theory (DFT) computations can characterise the adsorption orientation of a molecule on a nanoparticle surface. When using DFT to simulate SERS on a silver surface, one typically employs an atom (Ag), ion (Ag
+
), or cluster (Ag
x
or Ag
x
+
) as the model surface. Here, by examining the nucleobase 2,6-diaminopurine (2,6-DAP) and then generalising our strategy to three other molecules, we show that employing silver oxide (Ag
2
O) as the model surface can quantitatively improve the accuracy of simulated SERS.
For simulation of SERS on silver nanoparticles, Ag
2
O can provide a more accurate result than standard model surfaces such as Ag
+
, Ag, Ag
4
+
and Ag
4
. |
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ISSN: | 1463-9076 1463-9084 |
DOI: | 10.1039/d1cp01498f |