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Record W4407772638 · doi:10.1007/s42114-025-01269-2

A semi-transparent strong biomimetic wound healing material: zinc oxide and sodium alginate based bi-layer nanofiber membrane

2025· article· en· W4407772638 on OpenAlex
Muzammil Kuddushi, Tanay Kumar, Hongyan Wu, Ben Bin Xu, Naved I. Malek, Larry D. Unsworth, Jiangtao Xu, Jiangwen Zhang, Xihua Wang, Xuehua Zhang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAdvanced Composites and Hybrid Materials · 2025
Typearticle
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsUniversity of Alberta
FundersEngineering and Physical Sciences Research CouncilAlberta InnovatesMitacsCanada Research ChairsUniversity of Alberta
KeywordsNanofiberZincSodium alginateLayer (electronics)MembraneMaterials scienceElectrospinningWound healingChemical engineeringSodiumNanotechnologyChemistryComposite materialMetallurgyMedicinePolymerSurgeryBiochemistry

Abstract

fetched live from OpenAlex

Abstract Wound healing is a critical process that significantly impacts patient health and places a substantial burden on healthcare systems. This study aimed to develop and evaluate transparent composite nanofibrous membranes with enhanced biological functionality as advanced wound dressing materials. We hypothesized that the incorporation of sodium alginate (NaAlg) or zinc oxide (ZnO) into electrospun polymer nanofibers, combined with the use of a conductive aluminum mesh during fiber collection, would result in membranes with locally aligned nanofibers, enabling optical transparency, biocompatibility, and mechanical properties. By using a 1.58 mm aluminum square mesh as a fiber collector during electrospinning of polycaprolactone (PCL)/ethylene vinyl alcohol (EVOH), we fabricated composite fiber membranes with varying concentrations of NaAlg (1–5% w/v) or ZnO (1–3% w/v). The use of the conductive mesh led to partial alignment of the nanofibers, enhancing light transmission and achieving notable optical transparency (up to 40% for NaAlg and 22% for ZnO). These membranes also exhibited a bi-layer structural configuration, robust mechanical properties (12–13 MPa), and optimal water vapor transmission rates (WVTR, 1400–1700 g/m $$^{2}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mrow/> <mml:mn>2</mml:mn> </mml:mmultiscripts> </mml:math> /day). Biological assessments, including disc diffusion and cytotoxicity tests, demonstrated excellent biocompatibility (85–100% viability with HaCaT cells) and promising blood-clotting properties. These findings suggest that the developed nanofiber membranes, through their unique alignment-driven transparency and multifunctionality, can effectively monitor wound healing in real-time, absorb substantial exudate, and provide a protective barrier against environmental contaminants. This work highlights the novelty and potential of these nanofiber membranes as advanced biomaterials for diverse wound dressing applications. Graphical abstract

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.268
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it