Evidence map›Paper›PMID 40041746›Full record

ArticleAnalytical science advances2025

A new methodology for sub-femtomolar detection of organic molecules through the combination of surface-enhanced Raman spectroscopy and a superhydrophobic fluidic concentrator.

Victor Fabre, Franck Carcenac, Adrian Laborde, Jean-Baptiste Doucet, Christophe Vieu, Philippe Louarn, Emmanuelle Trevisiol

Abstract read
In one paragraph

Article in Analytical science advances, 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

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.

  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

7 authors.

Victor FabreLAAS-CNRS Université de Toulouse CNRS, INSA Toulouse France.
Franck CarcenacLAAS-CNRS Université de Toulouse CNRS, INSA Toulouse France.
Adrian LabordeLAAS-CNRS Université de Toulouse CNRS, INSA Toulouse France.
Jean-Baptiste DoucetLAAS-CNRS Université de Toulouse CNRS, INSA Toulouse France.
Christophe VieuLAAS-CNRS Université de Toulouse CNRS, INSA Toulouse France.
Philippe LouarnIRAP CNRS Université de Toulouse CNES Toulouse France.
Emmanuelle TrevisiolTBI Université de Toulouse CNRS INRAE INSA Toulouse France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A specific device that combines (1) surface-enhanced Raman spectroscopy (SERS) and (2) superhydrophobic surfaces is developed to detect traces of analytes diluted at sub-femtomolar concentration in water solutions. The first step of the analysis consists in the evaporation of a drop of the solution on the device, designed to concentrate all the analytes on a central functionalized small area (80 µm diameter). This analytical zone is covered with Ag nanoparticles dedicated to enhance Raman signals. In a second step, this zone is scanned pixel by pixel to accumulate around 2200 Raman spectra. The third step is an algorithmic analysis of the pile of spectra to identify Raman peaks that are specific to the targeted molecules. We detail an original analysis method that allows (1) to select spectra that are significantly different from those obtained when a pure solvent is evaporated (control experiment), (2) to classify the spectra by a criterion of similarity and, finally, (3) to select the SERS spectra of the analytes. This method uses hierarchical correlation clustering techniques, the originality being to classify the different spectra on the basis of their peak positions, with all peaks being normalized at the same intensity and bandwidth. The method leads to a convincing identification of spectra of the targeted molecules (i.e. rhodamine B), down to atto-molar concentrations.

Identifiers

PMID40041746
PMCPMC11878439

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.