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Injectable Supramolecular Polymer-Nanoparticle Hydrogels for Cell and Drug Delivery Applications
Published on: February 7, 2021
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Growth Factor-Loaded Nano-niosomal Gel Formulation and Characterization
Saeid Moghassemi1, Afra Hadjizadeh2, Amirhossien Hakamivala1
1Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.
AAPS Pharmscitech
|August 10, 2016
Summary
This study developed a novel nano-niosome-hydrogel composite for controlled delivery of growth factors (GFs). The composite significantly enhanced endothelial cell proliferation, showing potential for tissue engineering and angiogenesis induction.
Area of Science:
- Biomaterials Science
- Tissue Engineering
- Drug Delivery Systems
Background:
- Controlled delivery of signaling factors is crucial for tissue engineering.
- Nano-niosomal drug delivery systems offer significant advantages for this purpose.
- Growth factors (GFs) play a key role in modulating cell behavior.
Purpose of the Study:
- To formulate and evaluate a growth factor (GF)-loaded nano-niosome-hydrogel composite.
- To assess the controlled delivery of GFs for modulating cell behavior.
- To investigate the potential of this composite in tissue engineering applications.
Main Methods:
- Niosomes prepared using Span 60 surfactant and cholesterol via reverse-phase evaporation.
- Simultaneous loading of basic fibroblast growth factor (bFGF) and bovine serum albumin (BSA).
- Embedding niosomes into agarose hydrogel, followed by characterization (DLS, TEM, NanoDrop) and in vitro cell studies (HUVEC proliferation, MTT assay).
Main Results:
- Nano-niosomes exhibited an average particle size of 232 nm.
- Entrapment efficiency for proteins reached 58%.
- The bFGF-BSA-loaded niosomal hydrogel significantly enhanced human umbilical vein endothelial cell (HUVEC) proliferation.
Conclusions:
- The developed GF-loaded niosomal hydrogel is a potent material for controlled delivery applications.
- This composite shows promise for inducing angiogenesis in tissue engineering.
- Further applications in various biomedical fields are anticipated.

