Evidence map›Paper›PMID 29532028›Full record

ArticleACS central science2018

Dealloyed Intra-Nanogap Particles with Highly Robust, Quantifiable Surface-Enhanced Raman Scattering Signals for Biosensing and Bioimaging Applications.

Minho Kim, Sung Min Ko, Jae-Myoung Kim, Jiwoong Son, Chungyeon Lee, Won-Kyu Rhim, Jwa-Min Nam

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PubMed Full text at PMC Publisher
In one paragraph

Article in ACS central science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
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  5. Review
  6. Review
  7. Article
  8. Article
  9. Plasmonic Multi-Layered Built-in Hotspots Nanogaps for Effectively Activating Analytes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Plasmonic Photothermal Nanoparticles for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019
    Review
  16. Article
  17. Review
  18. Article
  19. Quantitative Nanoplasmonics.ACS central science · 2018
    Review
  20. 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

7 authors.

Minho KimDepartment of Chemistry, Seoul National University, Seoul 08826, South Korea.
Sung Min KoDepartment of Chemistry, Seoul National University, Seoul 08826, South Korea.
Jae-Myoung KimDepartment of Chemistry, Seoul National University, Seoul 08826, South Korea.
Jiwoong SonDepartment of Chemistry, Seoul National University, Seoul 08826, South Korea.
Chungyeon LeeDepartment of Chemistry, Seoul National University, Seoul 08826, South Korea.
Won-Kyu RhimDepartment of Chemistry, Seoul National University, Seoul 08826, South Korea.
Jwa-Min NamDepartment of Chemistry, Seoul National University, Seoul 08826, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uniformly controlling a large number of metal nanostructures with a plasmonically enhanced signal to generate quantitative optical signals and the widespread use of these structures for surface-enhanced Raman scattering (SERS)-based biosensing and bioimaging applications are of paramount importance but are extremely challenging. Here, we report a highly controllable, facile selective-interdiffusive dealloying chemistry for synthesizing the dealloyed intra-nanogap particles (DIPs) with a ∼2 nm intragap in a high yield (∼95%) without the need for an interlayer. The SERS signals from DIPs are highly quantitative and polarization-independent with polarized laser sources. Remarkably, all the analyzed particles displayed the SERS enhancement factors (EFs) of ≥1.1 × 10

Identifiers

PMID29532028
PMCPMC5833005

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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.