Zinc-based metal organic framework loaded-electrospun PVA/PEO/ <scp>l</scp> -arginine nanofibers as efficient antimicrobial scaffolds for burn skin wound healing

Synthesis route of PVA/PEO/ l -arginine-ZnMOF NFs and its application for burn skin wound healing.

Authors

Institutions

Publication Details

Journal
Materials Advances
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ma00420a
Citations
1
Primary Topic
Electrospun Nanofibers in Biomedical Applications
Type
article
Field-Weighted Citation Impact
0.60

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Zinc-based metal organic framework loaded-electrospun PVA/PEO/ l -arginine nanofibers as efficient antimicrobial scaffolds for burn skin wound healing

Elbadawy A. Kamoun, Abdel-Baset M. Shokr, Wesam E. Yousuf, El‐Refaie Kenawy et al.
1 citations
Materials Advances
Electrospun Nanofibers in Biomedical Applications
0.60
article

Zinc-based metal organic framework loaded-electrospun PVA/PEO/ l -arginine nanofibers as efficient antimicrobial scaffolds for burn skin wound healing

Elbadawy A. Kamoun, Abdel-Baset M. Shokr, Wesam E. Yousuf, El‐Refaie Kenawy, Zeinab S. Ghaly, Youstina S. Salib, Eman E. Elmohamady
article en
1 citations

Abstract

Synthesis route of PVA/PEO/ l -arginine-ZnMOF NFs and its application for burn skin wound healing.

Materials AdvancesVol. 6(20)
Tanta University (EG), City of Scientific Research and Technological Applications (EG), King Faisal University (SA)
Tanta University
Openalex Percentile: Top 30%
Electrospun Nanofibers in Biomedical Applications
0.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.