Evidence map›Paper›PMID 35648171›Full record

ArticleAnalytical and bioanalytical chemistry2022

Combining multilayered wrinkled polymer SERS substrates and spectral data processing for low concentration analyte detection.

Benjamin Charron, Vincent Thibault, Jean-Francois Masson

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. 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
0.2field-weighted citation impact, top 67% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

3 authors at 2 institutions in 1 country.

Benjamin CharronDépartement de Chimie, Quebec Center for Advanced Materials, Regroupement Québécois Sur Les Matériaux de Pointe, and Centre Interdisciplinaire de Recherche Sur Le Cerveau Et L'apprentissage, Université de Montréal, CP. 6128 Succ. Centre-Ville, Montréal, QC, H3C 3J7, Canada.
Vincent ThibaultDépartement de Chimie, Quebec Center for Advanced Materials, Regroupement Québécois Sur Les Matériaux de Pointe, and Centre Interdisciplinaire de Recherche Sur Le Cerveau Et L'apprentissage, Université de Montréal, CP. 6128 Succ. Centre-Ville, Montréal, QC, H3C 3J7, Canada.
Jean-Francois MassonDépartement de Chimie, Quebec Center for Advanced Materials, Regroupement Québécois Sur Les Matériaux de Pointe, and Centre Interdisciplinaire de Recherche Sur Le Cerveau Et L'apprentissage, Université de Montréal, CP. 6128 Succ. Centre-Ville, Montréal, QC, H3C 3J7, Canada. jf.masson@umontreal.ca.
Université de Montréal · CARegroupement Québécois sur les Matériaux de Pointe · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A series of thermally shrinkable polymer surface-enhanced Raman scattering (SERS) substrates were prepared with bimetallic Au and Ag (oxidized or not) films and with Au nanoparticles (AuNPs) located at different places in the layered structure to evaluate the synergistic effect of different known SERS amplification methods to enhance the Raman signal for low concentration dopamine detection. A bimetallic Au and Ag layered structure improved the Raman signal by 5 and 2 times compared to the single-layered Au and Ag films. Oxidizing the Ag layer prior to deposition of Au further improved the signal by a factor of 2, while adding AuNP on wrinkled films increased another 10 times the intensity of the Raman signal. It was found that the enhancement was another 10 times stronger when using AuNPs in combination with other means of enhancement such as with a silver underlayer or surface wrinkling. Wrinkling alone only gave a few-fold increase compared to a flat film, but the combination of wrinkling with AuNPs and a silver underlayer improved the SERS intensity by more than 3 orders of magnitude, showing the synergistic effect of these enhancement methods. The optimized sensors were then tested in dynamic SERS with low concentration dopamine solutions, where the signal showed characteristics of a digital SERS response. Raman spectra preprocessing and sorting software was developed to triage the SERS-active spectra from the null spectra, to count the detection events such as the ones observed in single molecule experiments.

Indexed as

Metal NanoparticlesSilverDopamineGoldPolymersSpectrum Analysis, RamanDopamineGoldPolymersSilverChemical sensorsIR spectroscopyNanoparticlesNanotechnologyRaman spectroscopy

Identifiers

PMID35648171
OpenAlexW4281933996

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.