Evidence map›Paper›PMID 35757372›Full record

ArticleMatter2021

Comparative Analysis of Fiber Alignment Methods in Electrospinning.

Andrew J Robinson, Alejandra Pérez-Nava, Shan C Ali, J Betzabe González-Campos, Julianne L Holloway, Elizabeth M Cosgriff-Hernandez

Abstract read
In one paragraph

Article in Matter, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

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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

6 authors.

Andrew J RobinsonDepartment of Biomedical Engineering, University of Texas, Austin, Texas, 78712, United States.
Alejandra Pérez-NavaBiological and Chemical Research Institute, Universidad Michoacana de San Nicolás, de Hidalgo, Morelia, 58030, Mexico.
Shan C AliDepartment of Biomedical Engineering, University of Texas, Austin, Texas, 78712, United States.
J Betzabe González-CamposBiological and Chemical Research Institute, Universidad Michoacana de San Nicolás, de Hidalgo, Morelia, 58030, Mexico.
Julianne L HollowayChemical Engineering, School for Engineering of Matter, Transport and Energy,Arizona State University, Tempe, 85287, Arizona, United States.
Elizabeth M Cosgriff-HernandezDepartment of Biomedical Engineering, University of Texas, Austin, Texas, 78712, United States.

Funding

PRE-VASCULARIZED AND DEGRADABLE PATCHES FOR CORRECTION OF CONGENITAL HEART DEFECTSR01HL130436 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI JACOT, JEFFREY G · 2016 to 2020
$2.0M
NHLBI NIH HHS R01 HL130436
6 · The paper itself

Abstract

Fabrication of anisotropic materials is highly desirable in designing biomaterials and tissue engineered constructs. Electrospinning has been broadly adopted due to its versatility in producing non-woven fibrous meshes with tunable fiber diameters (from 10 nanometers to 10 microns), microarchitectures, and construct geometries. A myriad of approaches have been utilized to control fiber alignment of electrospun materials to achieve complex microarchitectures, improve mechanical properties, and provide topographical cellular cues. This review provides a comparative analysis of the techniques developed to generate fiber alignment in electrospun materials. A description of the underlying mechanisms that drive fiber alignment, setup variations for each technique, and the resulting impact on the aligned microarchitecture is provided. A critical analysis of the advantages and limitations of each approach is provided to guide researchers in method selection. Finally, future perspectives of advanced electrospinning methodologies are discussed in terms of developing a scalable method with precise control of microarchitecture.

Indexed as

anisotropyElectrospinningfiber alignment

Identifiers

PMID35757372
PMCPMC9222234

What OpenQuestion holds

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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.