Evidence map›Paper›PMID 37641919›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2023

Identification of Design Principles for the Preparation of Colloidal Plexcitonic Materials.

Nicola Peruffo, Matteo Bruschi, Barbara Fresch, Fabrizio Mancin, Elisabetta Collini

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2023. 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
–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

4 citing papers in PubMed.

  1. Strong light-matter interactions in hybrid polaritonic systems.Chemical communications (Cambridge, England) · 2026
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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.

Nicola PeruffoDepartment of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy.
Matteo BruschiDepartment of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy.ORCID 0000-0001-7838-0363
Barbara FreschDepartment of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy.ORCID 0000-0002-0988-0644
Fabrizio MancinDepartment of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy.ORCID 0000-0003-0786-0364
Elisabetta ColliniDepartment of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy.ORCID 0000-0002-1019-9100

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colloidal plexcitonic materials (CPMs) are a class of nanosystems where molecular dyes are strongly coupled with colloidal plasmonic nanoparticles, acting as nanocavities that enhance the light field. As a result of this strong coupling, new hybrid states are formed, called plexcitons, belonging to the broader family of polaritons. With respect to other families of polaritonic materials, CPMs are cheap and easy to prepare through wet chemistry methodologies. Still, clear structure-to-properties relationships are not available, and precise rules to drive the materials' design to obtain the desired optical properties are still missing. To fill this gap, in this article, we prepared a dataset with all CPMs reported in the literature, rationalizing their design by focusing on their three main relevant components (the plasmonic nanoparticles, the molecular dyes, and the capping layers) and identifying the most used and efficient combinations. With the help of statistical analysis, we also found valuable correlations between structure, coupling regime, and optical properties. The results of this analysis are expected to be relevant for the rational design of new CPMs with controllable and predictable photophysical properties to be exploited in a vast range of technological fields.

Identifiers

PMID37641919
PMCPMC10501205

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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.