Evidence map›Paper›PMID 39590067›Full record

ArticleGels (Basel, Switzerland)2024

Conductive Biocomposite Made by Two-Photon Polymerization of Hydrogels Based on BSA and Carbon Nanotubes with Eosin-Y.

Mikhail S Savelyev, Artem V Kuksin, Denis T Murashko, Ekaterina P Otsupko, Ulyana E Kurilova, Sergey V Selishchev, Alexander Yu Gerasimenko

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Mikhail S SavelyevInstitute of Biomedical Systems, National Research University of Electronic Technology, 124498 Zelenograd, Russia.ORCID 0000-0003-1255-0686
Artem V KuksinInstitute of Biomedical Systems, National Research University of Electronic Technology, 124498 Zelenograd, Russia.ORCID 0000-0001-8406-9977
Denis T MurashkoInstitute of Biomedical Systems, National Research University of Electronic Technology, 124498 Zelenograd, Russia.ORCID 0000-0002-9437-8260
Ekaterina P OtsupkoInstitute of Biomedical Systems, National Research University of Electronic Technology, 124498 Zelenograd, Russia.
Ulyana E KurilovaInstitute of Biomedical Systems, National Research University of Electronic Technology, 124498 Zelenograd, Russia.
Sergey V SelishchevInstitute of Biomedical Systems, National Research University of Electronic Technology, 124498 Zelenograd, Russia.
Alexander Yu GerasimenkoInstitute of Biomedical Systems, National Research University of Electronic Technology, 124498 Zelenograd, Russia.ORCID 0000-0001-6514-2411

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, tissue engineering technologies are promising for the restoration of damaged organs and tissues. For regeneration of electrically conductive tissues or neural interfaces, it is necessary to provide electrical conductivity for the transmission of electrophysiological signals. The developed biocomposite structures presented in this article possess such properties. Their composition includes bovine serum albumin (BSA), gelatin, eosin-Y and single-walled carbon nanotubes (SWCNTs). For the first time, a biocomposite structure was formed from the proposed hydrogel using a nanosecond laser, and a two-photon absorption cross section value of 580 GM was achieved. Increased viscosity over 3 mPa∙s and self-focusing with a nonlinear refractive index of 42 × 10

Indexed as

biopolymer compositescarbon nanotubesconductive compositeseosin-Ygelatintissue engineeringtwo-photon polymerization

Identifiers

PMID39590067
PMCPMC11594106

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.