Evidence map›Paper›PMID 41754639›Full record

ArticlePolymers2026

Quantitative Mechanophysical Correlations Governing Antibacterial Performance of Amoxicillin-Loaded Poly(ε-caprolactone)/Poly(ethylene glycol) Biodegradable Electrospun Nanofibrous Wound Dressing.

Husam M Younes, Sandi Ali Adib, Mai Salama, Hala Adel, Sarah Ghanim, Samaher Alshaibi, Hana Kadavil, Gheyath K Nasrallah, Dana Elkhalifa, Aya Al Shammaa

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Husam M YounesTissue Engineering and Nanopharmaceuticals Research Laboratory, Office of Vice President for Research and Graduate Studies, Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0002-8191-4415
Sandi Ali AdibTissue Engineering and Nanopharmaceuticals Research Laboratory, Office of Vice President for Research and Graduate Studies, Qatar University, Doha P.O. Box 2713, Qatar.
Mai SalamaTissue Engineering and Nanopharmaceuticals Research Laboratory, Office of Vice President for Research and Graduate Studies, Qatar University, Doha P.O. Box 2713, Qatar.
Hala AdelTissue Engineering and Nanopharmaceuticals Research Laboratory, Office of Vice President for Research and Graduate Studies, Qatar University, Doha P.O. Box 2713, Qatar.
Sarah GhanimTissue Engineering and Nanopharmaceuticals Research Laboratory, Office of Vice President for Research and Graduate Studies, Qatar University, Doha P.O. Box 2713, Qatar.
Samaher AlshaibiTissue Engineering and Nanopharmaceuticals Research Laboratory, Office of Vice President for Research and Graduate Studies, Qatar University, Doha P.O. Box 2713, Qatar.
Hana KadavilTissue Engineering and Nanopharmaceuticals Research Laboratory, Office of Vice President for Research and Graduate Studies, Qatar University, Doha P.O. Box 2713, Qatar.
Gheyath K NasrallahBiomedical Research Center, QU Health, Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0001-9252-1038
Dana ElkhalifaTissue Engineering and Nanopharmaceuticals Research Laboratory, Office of Vice President for Research and Graduate Studies, Qatar University, Doha P.O. Box 2713, Qatar.
Aya Al ShammaaTissue Engineering and Nanopharmaceuticals Research Laboratory, Office of Vice President for Research and Graduate Studies, Qatar University, Doha P.O. Box 2713, Qatar.

Funding

Qatar Research, Development & Innovation (QRDI), Undergraduate Research Experience Program UREP19-071-3-021
6 · The paper itself

Abstract

Biodegradable electrospun nanofibrous scaffolds (BENS) have emerged as a highly advanced class of wound dressings owing to their close structural and morphological resemblance to the native extracellular matrix and their tunable physicochemical and mechanical characteristics. However, the successful translation of electrospun wound-healing platforms from laboratory concepts to clinically viable products necessitates a quantitative understanding of how formulation and processing variables dictate scaffold architecture, mechanical performance, and antibacterial functionality. In this study, hydrophobic poly(ε-caprolactone) (PCL) and hydrophilic poly(ethylene glycol) (PEG35000) were blended at different weight ratios and fabricated into electrospun nanofibrous scaffolds, with amoxicillin trihydrate (AMX) incorporated as a model antibacterial agent. Blank and drug-loaded systems were systematically characterized with respect to solution rheology, fiber morphology, thermal behavior, crystallinity, mechanical performance, surface wettability, and antibacterial activity. Quantitative correlation analyses and statistical comparisons revealed that solution viscosity is a strong predictor of mechanical response, while PEG fraction governs baseline stiffness and crystallinity in a non-linear manner. AMX loading acted as a secondary structural modifier, producing statistically significant increases in stiffness and wettability, accompanied by reduced crystallinity and concentration-dependent antibacterial efficacy. Among the investigated formulations, a PCL: PEG ratio of 3:1 provided the most balanced mechanophysical profile for effective drug incorporation. These findings establish validated structure-property-function relationships that support the rational design of electrospun antibacterial wound dressings.

Indexed as

amoxicillinantibacterial wound dressingselectrospinningmechanophysical characterizationnanofiberspoly(ε-caprolactone)/poly(ethylene glycol) blendquantitative structure–property correlationstissue engineering

Identifiers

PMID41754639
PMCPMC12944611

What Socratic 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 Socratic graph.