Evidence map›Paper›PMID 32426593›Full record

ArticleACS omega2020

Substrate for Surface-Enhanced Raman Spectroscopy Formed by Gold Nanoparticles Buried in Poly(methyl methacrylate).

Natalia K Gushiken, Giordano T Paganoto, Marcia L A Temperini, Fernanda S Teixeira, Maria Cecilia Salvadori

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2020. 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
1.2field-weighted citation impact, top 24% of its field
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, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Natalia K GushikenPolytechnic School, University of São Paulo, Avenida Professor Luciano Gualberto, Travessa R-158, CEP 05508-900 São Paulo, São Paulo, Brazil.
Giordano T PaganotoInstitute of Chemistry, University of São Paulo, Avenida Professor Lineu Prestes, 748, CEP 05508-000 São Paulo, São Paulo, Brazil.
Marcia L A TemperiniInstitute of Chemistry, University of São Paulo, Avenida Professor Lineu Prestes, 748, CEP 05508-000 São Paulo, São Paulo, Brazil.
Fernanda S TeixeiraInstitute of Physics, University of São Paulo, C.P. 66318, CEP 05315-970 São Paulo, São Paulo, Brazil.
Maria Cecilia SalvadoriPolytechnic School, University of São Paulo, Avenida Professor Luciano Gualberto, Travessa R-158, CEP 05508-900 São Paulo, São Paulo, Brazil.
Universidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we present some properties and use of a nanocomposite formed by gold nanoparticles (NPs) into poly(methyl methacrylate) (PMMA) and its application as substrates for surface-enhanced Raman spectroscopy (SERS). The nanocomposite was formed using low-energy (49 eV) ion implantation of gold in PMMA using a cathodic arc plasma gun. The gold NPs are formed spontaneously from the implanted ions and they remain isolated from each other by the polymer medium surrounding them, ensuring a spacing between the NPs of less than 10 nm (hot spot places). The NPs form below the surface, protected from the environment, guaranteeing the stability of the composite layer. Moreover, here, we present an interesting approach to concentrate analyte molecules closer to the metal surface using the swelling effect in PMMA. Using absorption of the analyte, the molecules stay in the gaps between NPs, which is a good solution for one of the biggest challenges in SERS, that is, to guide molecules to the hot spot places.

Identifiers

PMID32426593
PMCPMC7226853
OpenAlexW3023191870

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.