Evidence map›Paper›PMID 42354392›Full record

ReviewGels (Basel, Switzerland)2026

Nano- and Micro-Polymer Fibers for Smart Actuation: Fabrication Methods and Applications-A Review.

Tarek Dayyoub, Kabiru Haruna, Mohannad Mayyas

Abstract readReview
In one paragraph

Review in Gels (Basel, Switzerland), 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

3 authors.

Tarek DayyoubInterdisciplinary Research Center for Advanced Materials (IRC-AM), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia.ORCID 0000-0001-5418-7227
Kabiru HarunaInterdisciplinary Research Center for Advanced Materials (IRC-AM), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia.ORCID 0000-0002-6475-312X
Mohannad MayyasInterdisciplinary Research Center for Advanced Materials (IRC-AM), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia.ORCID 0000-0003-1852-6687

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymeric fibers represent a vital class of functional materials due to their versatile properties, such as wide availability, low cost, recyclability, biodegradability, and excellent mechanical and chemical stability. Polymer fibers can be fabricated at both micro- and nanoscale dimensions using a variety of processing techniques. This review provides a comprehensive overview of the principal methods employed for polymer fiber preparation, including electrospinning, melt and solution blowing, dry and wet spinning, template synthesis, phase separation, and self-assembly. The technical principles, as well as the advantages and limitations, of each technique are systematically discussed. The review also explores polymeric fibers as smart materials for actuation applications. Particular focus is given to stimulus-responsive fiber systems such as shape memory fibers, hydrogel fibers, liquid crystal fibers, and electroactive polymers. Overall, this review establishes a coherent framework linking polymer fiber fabrication strategies with structure-property-function relationships, offering practical guidance for material selection and accelerating the development of next-generation smart polymer fibers for advanced actuation and multifunctional applications.

Indexed as

electroactive fiberselectrospinningextrusionhydrogel fiberspolymer fibersshape memory fibers

Identifiers

PMID42354392
PMCPMC13298081

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.