Evidence map›Paper›PMID 40672119›Full record

ArticleACS applied polymer materials2025

Tunable Photonic Paints via Block Copolymer Self-Assembly and Refractive Index Engineering.

Simone Bertucci, Remi Schobinger, Liviana Mummolo, Niklas Schwarz, Paola Lova, Christoph Weder, Davide Comoretto, Ullrich Steiner, Francesco Di Stasio, Andrea Dodero

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS applied polymer materials, 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

10 authors.

Simone BertucciPhotonic Nanomaterials, Istituto Italiano di Tecnologia, Via Morego 30, Genoa 16163, Italy.
Remi SchobingerAdolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, Fribourg 1700, Switzerland.
Liviana MummoloAdolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, Fribourg 1700, Switzerland.
Niklas SchwarzAdolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, Fribourg 1700, Switzerland.
Paola LovaDepartment of Chemistry and Industrial Chemistry, University of Genoa, Via Dodecaneso 31, Genoa 16146, Italy.ORCID https://orcid.org/0000-0002-5634-6321
Christoph WederAdolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, Fribourg 1700, Switzerland.ORCID https://orcid.org/0000-0001-7183-1790
Davide ComorettoDepartment of Chemistry and Industrial Chemistry, University of Genoa, Via Dodecaneso 31, Genoa 16146, Italy.ORCID https://orcid.org/0000-0002-2168-2851
Ullrich SteinerAdolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, Fribourg 1700, Switzerland.ORCID https://orcid.org/0000-0001-5936-339X
Francesco Di StasioPhotonic Nanomaterials, Istituto Italiano di Tecnologia, Via Morego 30, Genoa 16163, Italy.ORCID https://orcid.org/0000-0002-2079-3322
Andrea DoderoDepartment of Chemistry and Industrial Chemistry, University of Genoa, Via Dodecaneso 31, Genoa 16146, Italy.ORCID https://orcid.org/0000-0002-1413-8508

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structurally colored paints based on photonic microparticles offer an intriguing alternative to conventional pigment-based colorants but face persistent challenges related to limited color vibrancy and excessive light scattering. In this work, we present a scalable strategy to fabricate water-based photonic paints using poly-(2-vinylpyridine)-

Indexed as

block copolymersphotonic paintsrefractive index contrastself-assemblystructural color

Identifiers

PMID40672119
PMCPMC12261279

What OpenQuestion holds

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LicenceCC BY
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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.