Evidence map›Paper›PMID 40820330›Full record

ArticleMacromolecular bioscience2025

Size-Dependent Elastic Modulus and Core-Shell Structural Characteristics of Electrospun Nanofibers.

Muhammad Azeem Munawar, Fritjof Nilsson, Dirk W Schubert

Abstract read
In one paragraph

Article in Macromolecular bioscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

3 authors.

Muhammad Azeem MunawarInstitute of Polymer Materials, Department of Materials Science and Engineering, Faculty of Engineering, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Martensstraße 7, 91058, Erlangen, Germany.ORCID 0000-0002-7549-512X
Fritjof NilssonDivision of Fibre and Polymer Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, SE-100 44, Stockholm, Sweden.ORCID 0000-0002-5010-5391
Dirk W SchubertInstitute of Polymer Materials, Department of Materials Science and Engineering, Faculty of Engineering, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Martensstraße 7, 91058, Erlangen, Germany.ORCID 0000-0002-3021-4726

Funding

German Research Foundation (DFG, Deutsche Forschungsgemeinschaft 326998133
6 · The paper itself

Abstract

This study investigates the size-dependent mechanical properties of electrospun polycaprolactone (PCL) nanofibers by analyzing the relationship between fiber diameter and Young's modulus. Experimental data reveal a clear inverse trend: as fiber diameter decreases, stiffness increases significantly, indicating strong surface and confinement effects at the nanoscale. Two theoretical models were employed to interpret the observed behavior: a simplified core-shell model (Model 1) and an extended model (Model 2) incorporating surface tension and curvature elasticity. Both models accurately fit the experimental data across a diameter range of 450-850 nm, with Model 2 providing slightly better agreement at intermediate diameters (∼600-750 nm), where surface mechanics become more prominent. The enhanced stiffness in thinner fibers is attributed to increased surface-to-volume ratio and tighter molecular packing, while larger fibers exhibit bulk-dominated mechanical responses. These findings highlight the importance of nanoscale geometry and surface effects in determining mechanical properties and suggest that fiber stiffness can be systematically tuned via diameter control during electrospinning.

Indexed as

Elastic ModulusNanofibersPolyestersParticle SizepolycaprolactonePolyesterselectrospinningmechanical strengthnanofiber diameterpolycaprolactone (PCL)size‐dependent elasticity

Identifiers

PMID40820330
PMCPMC12617680

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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.