Evidence map›Paper›PMID 40647787›Full record

ArticlePolymers2025

Mechanical Properties of Dual-Layer Electrospun Fiber Mats.

Ioana Caloian, Jocelyn Trapp, Bhalaji Yadav Kantepalle, Patrick Latimer, Timothy J Lawton, Christina Tang

Abstract read
In one paragraph

Article in Polymers, 2025. 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

6 authors.

Ioana CaloianChemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA.
Jocelyn TrappChemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA.
Bhalaji Yadav KantepalleChemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA.ORCID 0000-0003-0551-6172
Patrick LatimerChemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA.
Timothy J LawtonU.S. Army Combat Capabilities Development Command Soldier Center, Natick, MA 01760, USA.ORCID 0000-0002-5820-2153
Christina TangChemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA.ORCID 0000-0001-6204-0129

Funding

DEVCOM W911QY2220002
6 · The paper itself

Abstract

Electrospinning with sequential layer deposition has been reported for various applications such as tissue scaffolds, shape memory materials, and separations. However, the effect of layering on the mechanical properties is not fully understood. In this work, layered structures of thermoplastic polyurethane (TPU) and nylon were selected as a model system to investigate the effect of sequential layer deposition on mechanical properties. Evidence of the layered structure was indicated by scanning electron microscopy (SEM) and Fourier Transform Infrared spectroscopy (FTIR) experiments. Layering TPU with nylon resulted in a 60-fold increase in the Young's modulus. The Young's modulus of the layered structure was reasonably predicted by the Voigt rule of mixtures. Furthermore, the Young's modulus changes without any statistically significant change in elongation at break compared to a single layer of nylon. Thus, the elongation at break was dictated by the stiffer material, despite being present at a lower volume fraction. Overall, electrospinning with sequential layer deposition electrospinning is an effective approach for tuning the mechanical properties and surface chemistry of electrospun materials independently, which may be of interest for applications in tissue engineering and separations.

Indexed as

electrospinninglayermechanical propertiespolyurethanerule of mixturesYoung’s modulus

Identifiers

PMID40647787
PMCPMC12251699

What OpenQuestion holds

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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.