Evidence map›Paper›PMID 37688173›Full record

ArticlePolymers2023

Three-Dimensional Printed Shape Memory Gels Based on a Structured Disperse System with Hydrophobic Cellulose Nanofibers.

Angelina P Prosvirnina, Alexander N Bugrov, Natalya V Bobrova, Eugene V Sivtsov, Alexandra L Nikolaeva, Almaz M Kamalov, Maria P Sokolova, Michael A Smirnov

Abstract read
In one paragraph

Article in Polymers, 2023. 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

8 authors.

Angelina P ProsvirninaInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy Pr. 31, Saint Petersburg 199004, Russia.
Alexander N BugrovInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy Pr. 31, Saint Petersburg 199004, Russia.ORCID 0000-0003-1052-4919
Natalya V BobrovaInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy Pr. 31, Saint Petersburg 199004, Russia.
Eugene V SivtsovInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy Pr. 31, Saint Petersburg 199004, Russia.
Alexandra L NikolaevaInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy Pr. 31, Saint Petersburg 199004, Russia.ORCID 0000-0002-3416-4017
Almaz M KamalovInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy Pr. 31, Saint Petersburg 199004, Russia.ORCID 0000-0003-2044-957X
Maria P SokolovaInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy Pr. 31, Saint Petersburg 199004, Russia.ORCID 0000-0001-8183-8988
Michael A SmirnovInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy Pr. 31, Saint Petersburg 199004, Russia.ORCID 0000-0001-8155-1477

Funding

Russian Science Foundation 21-13-00111
6 · The paper itself

Abstract

Inks for 3D printing were prepared by dispersing bacterial cellulose nanofibers (CNF) functionalized with methacrylate groups in a polymerizable deep eutectic solvent (DES) based on choline chloride and acrylic acid with water as a cosolvent. After 3D printing and UV-curing, the double-network composite gel consisting of chemically and physically crosslinked structures composed from sub-networks of modified CNF and polymerized DES, respectively, was formed. The rheological properties of inks, as well as mechanical and shape memory properties of the 3D-printed gels, were investigated in dynamic and static modes. It was shown that the optimal amount of water allows improvement of the mechanical properties of the composite gel due to the formation of closer contacts between the modified CNF. The addition of 12 wt% water results in an increase in strength and ultimate elongation to 11.9 MPa and 300%, respectively, in comparison with 5.5 MPa and 100% for an anhydrous system. At the same time, the best shape memory properties were found for an anhydrous system: shape fixation and recovery coefficients were 80.0 and 95.8%, respectively.

Indexed as

3D printingbacterial cellulosemechanical characteristicsrheological propertiesshape memory effect

Identifiers

PMID37688173
PMCPMC10490119

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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.