Evidence map›Paper›PMID 39439578›Full record

ArticleNano research2024

Facile synthesis of intra-nanogap enhanced Raman tags with different shapes.

Sanjun Fan, Brian T Scarpitti, Zhewen Luo, Abigail E Smith, Jian Ye, Zachary D Schultz

Abstract read
In one paragraph

Article in Nano research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Sanjun FanDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, 43210, USA.
Brian T ScarpittiDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, 43210, USA.
Zhewen LuoSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
Abigail E SmithDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, 43210, USA.
Jian YeSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
Zachary D SchultzDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, 43210, USA.

Funding

Targeted TERS Investigations of Ligand-Receptor BindingR01GM109988 · NIGMS · UNIVERSITY OF NOTRE DAME · PI SCHULTZ, ZACHARY · 2015 to 2024
$3.2M
NIGMS NIH HHS R01 GM109988
6 · The paper itself

Abstract

Hot spot engineering in plasmonic nanostructures plays a significant role in surface enhanced Raman scattering for bioanalysis and cell imaging. However, creating stable, reproducible, and strong SERS signals remains challenging due to the potential interference from surrounding chemicals and locating SERS-active analytes into hot-spot regions. Herein, we developed a straightforward approach to synthesize intra-gap nanoparticles encapsulating 4-nitrobenzenethiol (4-NBT) as a reporter molecule within these gaps to avoid outside interference. We made three kinds of intra-gap nanoparticles using nanorods, bipyramids, and nanospheres as cores, in which the nanorod based intra-gap nanoparticles exhibit the highest SERS activity. The advantage of our method is the ease of preparation of high-yield and stable intra-gap nanoparticles characterized by a short incubation time (10 mins) with 4-NBT and quick synthesis without requiring an additional step to centrifuge for the purification of core nanoparticles. The intense localized field in the synthesized hot spots of these plasmonic gap nanostructures holds great promise as a SERS substrate for a broad range of quantitative optical applications.

Indexed as

4-nitrobenzenethiolhot spot engineeringintra-gap nanoparticlessurface enhanced Raman scattering

Identifiers

PMID39439578
PMCPMC11493321

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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.