Evidence map›Paper›PMID 40137594›Full record

ArticleNanomaterials (Basel, Switzerland)2025

High-Efficiency SERS of 4-Mercaptobenzoic Acid and Biphenyl-4,4'-Dithiol via Nanoparticle-on-Mirror Plasmonic Nanocavities.

Wangze Li, Yifan Zhu, Jinze Li, Lei Guo, Xilin Zhou, Xin Xie, Zhengkun Fu, Huan Chen, Hairong Zheng

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

9 authors.

Wangze LiSchool of Physics and Information Technology, Shaanxi Normal University, Xi'an 710119, China.
Yifan ZhuSchool of Physics and Information Technology, Shaanxi Normal University, Xi'an 710119, China.
Jinze LiSchool of Physics and Information Technology, Shaanxi Normal University, Xi'an 710119, China.
Lei GuoSchool of Physics and Information Technology, Shaanxi Normal University, Xi'an 710119, China.
Xilin ZhouSchool of Physics and Information Technology, Shaanxi Normal University, Xi'an 710119, China.
Xin XieSchool of Physics and Information Technology, Shaanxi Normal University, Xi'an 710119, China.
Zhengkun FuSchool of Physics and Information Technology, Shaanxi Normal University, Xi'an 710119, China.ORCID 0000-0001-5600-7920
Huan ChenSchool of Physics and Information Technology, Shaanxi Normal University, Xi'an 710119, China.ORCID 0000-0001-8372-9929
Hairong ZhengSchool of Physics and Information Technology, Shaanxi Normal University, Xi'an 710119, China.

Funding

the Fundamental Research Funds for Central Universities Nos. GK202308001the Fundamental Science Foundation of Shaanxi No. 22JSZ010 and 23JSQ007the National Key R&D Program of China No. 2024YFA1409900the National Natural Science Foundation of China Nos. 12474389, 12304426 and U22A6005the Natural Science Foundation of Shaanxi Province No. 2024JC-JCQN-07
6 · The paper itself

Abstract

Surface-enhanced Raman scattering (SERS) technology has important applications in many fields, such as biomedicine, environmental monitoring, and food safety. Plasmonic nanocavities have the ability to superdiffract localized light and enhance light-matter interactions. As a key SERS active substrate, research on plasmonic nanocavities has made significant progress regarding the enhancement mechanism, the utilization of hotspots for the detection of specific molecular groups, and practical applications. However, challenges related to improving the enhancement factor of nanocavity SERS, enhancing the stability and reproducibility of hotspots, and enabling the detection of single-molecule layers remain. In this study, we adopt a bottom-up approach to construct a silver microplate-molecule-multi-sized silver nanosphere nanoparticle-on-mirror (NPoM) nanocavity and achieve the efficient stable enhancement of Raman scattering from 4-mercaptobenzoic acid and biphenyl-4,4'-dithiol molecules via the electromagnetic mechanism. By characterizing the fabricated nanocavity using dark-field scattering and micro-confocal Raman scattering, we observed that the Raman scattering intensity in the NPoM nanocavity was enhanced by a factor of 10

Indexed as

monomolecular layerplasmonic nanocavitiessurface enhanced Raman scattering

Identifiers

PMID40137594
PMCPMC11945916

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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.