Evidence map›Paper›PMID 42004348›Full record

ArticleACS omega2026

Copolymer Considerations on the Displacing Effect for the Effective Functionalization of 3D-Printed Photopolymer Sensors with Carbon Nanotubes.

Veronika Sevriugina, Petr Lepcio

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Veronika SevriuginaCentral European Institute of Technology, Brno University of Technology, Purkyňova 656/123, Brno 612 00, Czech Republic.
Petr LepcioCentral European Institute of Technology, Brno University of Technology, Purkyňova 656/123, Brno 612 00, Czech Republic.ORCID https://orcid.org/0000-0002-7056-5571

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study is part of a research effort motivated by the effective nanofiller functionalization of polymers for 3D printing sensors, enabling the fine-tuning of their functional properties. While the aspects of various conductive fillers, including their morphology, concentration, dispersion, and surface modification, are widely studied, the dispersing medium receives far less attention. Previously, we revealed a significant effect of conjugated electrons on the overall dielectric properties of filled aromatic polymers. This work examines another aspect of the complex interactions in multicomponent nanocomposite resins by investigating homopolymers and copolymers of two nonconjugated acrylic precursors with seemingly similar dielectric properties after curing but different orientational polarizability in the liquid state. Multiwalled carbon nanotubes (MWCNTs) are employed as a model filler. The results linked rheological, dielectric, and photopolymerization properties with performance in a simple capacitance-correlated strain-sensor setup. It revealed nontrivial and unintuitive effects, scaling the functional properties up to an order of magnitude. The best sensors achieved a sensitivity of 57 pF per 1% of strain, linearity of 0.99, and drift below 1.5% after 500 cycles. These were attributed to the adjusted filler dispersion through the displacement effect, which was fueled by the presence of the second monomer acting as a cosolvent. The results guide the path to improved sensor performance and effective nanofiller functionalization while providing critical material considerations for future academic research and industrial development.

Identifiers

PMID42004348
PMCPMC13084506

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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.