Back

Advanced PCL-Chitosan Nanofibrous Wound Care Material for Enhanced Wound Healing

R, V. G.; Wilson, J. J.; Thomas, L. V.

2023-04-03 bioengineering
10.1101/2023.04.02.534760 bioRxiv
Show abstract

Wet electrospinning has many advantages over conventional electrospinning processes. However, the technique is not commonly used due to the limited availability of suitable materials and accessibility of the technique. In this study different ratios of PCL-chitosan blend was prepared and fabricated into a highly porous scaffold system by wet electrospinning. The keratinocytes and fibroblast cells were seeded on the top and bottom side of the scaffold respectively to develop a bilayer skin construct. We conducted tests to examine the biological properties of the material including their cell viability, in vitro wound healing efficiency, and gene expression of collagen-I, collagen-III, cytokeratin-14, and cytokeratin-5. The findings indicate that PCL-chitosan can serve as a highly effective wound dressing material, with remarkable wound healing properties.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
PLOS ONE
● 5266 papers in training set
Top 16%
11.8%
Similar papers in this journal
2
Acta Biomaterialia
○ 92 papers in training set
Top 0.2%
7.8%
Similar papers in this journal
3
Journal of Biomedical Materials Research Part A
○ 20 papers in training set
Top 0.1%
7.8%
Similar papers in this journal
4
Biomaterials Advances
○ 22 papers in training set
Top 0.1%
5.4%
Similar papers in this journal
5
Bioactive Materials
○ 20 papers in training set
Top 0.1%
5.1%
Similar papers in this journal
6
Materials Today Bio
○ 20 papers in training set
Top 0.1%
4.0%
7
RSC Advances
● 22 papers in training set
Top 0.1%
4.0%
8
ACS Biomaterials Science & Engineering
● 37 papers in training set
Top 0.2%
3.2%
9
Scientific Reports
○ 3612 papers in training set
Top 33%
3.2%
50% of probability mass above
10
Biomaterials
○ 84 papers in training set
Top 0.7%
2.8%
11
Journal of the Mechanical Behavior of Biomedical Materials
○ 24 papers in training set
Top 0.1%
2.7%
12
Biomaterials Science
● 24 papers in training set
Top 0.2%
2.7%
13
International Journal of Biological Macromolecules
○ 76 papers in training set
Top 0.5%
2.6%
14
Biofabrication
○ 36 papers in training set
Top 0.3%
2.6%
15
Frontiers in Bioengineering and Biotechnology
○ 98 papers in training set
Top 0.6%
2.6%
16
ACS Applied Bio Materials
● 24 papers in training set
Top 0.2%
2.4%
17
Annals of Biomedical Engineering
○ 37 papers in training set
Top 0.6%
1.7%
18
Heliyon
○ 152 papers in training set
Top 4%
1.5%
19
Bioengineering
○ 29 papers in training set
Top 0.4%
1.5%
20
Bioengineering & Translational Medicine
○ 21 papers in training set
Top 0.3%
1.3%
21
Cellular and Molecular Bioengineering
○ 22 papers in training set
Top 0.3%
1.1%
22
ACS Omega
● 105 papers in training set
Top 2%
1.1%
23
Advanced Healthcare Materials
○ 85 papers in training set
Top 1%
1.1%
24
Frontiers in Medicine
○ 120 papers in training set
Top 3%
1.0%
25
Advanced Materials Technologies
○ 29 papers in training set
Top 0.4%
1.0%
26
F1000Research
○ 88 papers in training set
Top 3%
0.9%
27
PeerJ
◐ 308 papers in training set
Top 11%
0.8%
28
Tissue Engineering Part A
○ 15 papers in training set
Top 0.3%
0.6%
29
ACS Applied Materials & Interfaces
● 39 papers in training set
Top 1%
0.6%
30
Advanced Functional Materials
○ 46 papers in training set
Top 1%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.