Evidence map›Paper›PMID 40469658›Full record

ReviewRoyal Society open science2025

A review for DFT in chemical mechanism of SERS studies.

Aleksandr Zozulya, Andrey Zyubin, Ilia Samusev

Abstract readReview
In one paragraph

Review in Royal Society open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Aleksandr ZozulyaImmanuel Kant Baltic Federal University, Kaliningrad, Russia.ORCID https://orcid.org/0000-0001-5717-8625
Andrey ZyubinImmanuel Kant Baltic Federal University, Kaliningrad, Russia.
Ilia SamusevImmanuel Kant Baltic Federal University, Kaliningrad, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review presents the state of the art in using density functional theory (DFT) to investigate the mechanism of chemical enhancement in surface enhanced Raman scattering (SERS). Computational DFT models have been shown to align well with experimental data and to be useful in their interpretation. In this context, the combined use of theoretical data and experimental SERS results can help explore the mechanisms contributing to chemical amplification. This review examines the application of DFT to estimate chemical enhancement of SERS under the following conditions: the presence of silver ions on the surface, the size and stability of metal clusters, the energy characteristics of the investigated molecule in the system from the cluster size in molecule-nanoparticle models, changes in the spatial orientation of the molecule on the nanoparticle surface depending on the concentration of molecules. Additionally, the review analyses the influence of the metal cluster shape and size in DFT calculations in simplified cluster systems. This information will be useful for researchers working with experimental SERS aspects.

Indexed as

chemical mechanismdensity functional theorynanoparticlessurface enhanced Raman scattering

Identifiers

PMID40469658
PMCPMC12133340

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.